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      <title>The Follow‑Up Engine: How to Recover Lost Deals with a 5‑Step AI‑Assisted Sequence</title>
      <description>Too many deals die quietly because follow up is inconsistent. In this episode Bob lays out a compact, repeatable 5‑step Follow‑Up Engine designed for technology advisors who want to reclaim lost revenue without hiring a team. You’ll get a clear problem framing, the exact cadence and message types that outperformed typical outreach in real-world trials, and a lightweight human+AI workflow that drafts messages, scores responses, and schedules personal touchpoints. The episode includes verbatim subject lines and snippets tailored for MSPs, telecom agents, and channel sellers, plus a simple metric—Recovery Rate—to measure success. Listeners finish with a two‑week rollout plan they can implement with common CRMs and low-code tools, plus a link to download ready‑to‑use templates and a checklist on the show site. Practical, low-friction, and built for advisors who need results fast.</description>
      <pubDate>Mon, 23 Feb 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>1</itunes:episode>
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      <title>The Outcome Demo Sprint: Build a 10‑Minute, Buyer‑Specific Demo That Closes</title>
      <description>Demos that show features lose to demos that prove outcomes. In this interview-first episode Bob sits with a product marketer and a security-minded integration lead to teach a compact, repeatable process: select the single buyer outcome that matters, assemble a 10-minute demo script that maps to that outcome, safely inject anonymized or synthetic customer data, and automate the demo playback kit so anyone on the team can deliver a consistent, persuasive presentation. Listeners get a step-by-step sprint (choose outcome, build 3 demo scenes, safe data rules, rehearsal checklist), a list of low-code tools to produce a clickable demo kit, and exact language to move a demo into a paid pilot at the close. The episode emphasizes human verification, buyer-focused storytelling, and practical guardrails for client data. Visit the show site to download the Demo Sprint checklist, anonymization template, and demo script playbook; &quot;Your Edge Starts Here.&quot;</description>
      <pubDate>Thu, 12 Mar 2026 00:00:00 GMT</pubDate>
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      <itunes:duration>00:06:19</itunes:duration>
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      <itunes:episode>2</itunes:episode>
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      <title>The 60‑Minute Tech Stack Audit: Stop Revenue Leaks Without Rebuilding Everything</title>
      <description>Small advisory teams leak revenue through misaligned tools and handoffs long before they notice: missed leads, stalled proposals, billing errors, and slow onboarding. In this interview Bob sits with a systems architect and a revenue‑ops manager to deliver a pragmatic 60‑minute Tech Stack Audit you can run with one colleague. Listeners get a prioritized checklist that surfaces the seven common leak zones, a scripted minute‑by‑minute audit flow, three low‑risk quick fixes (no heavy engineering), and the metrics to prove impact (Lead→Opportunity leakage, Time‑to‑Proposal, Billing Reconciliation Rate). The episode teaches how to triage issues, patch with low‑code patterns, and win internal buy‑in for a one‑week remediation sprint. Practical, confessional, and built for teams that must improve cash flow without a full platform overhaul — visit the show site to download the 60‑Minute Audit checklist and action pack; &quot;Your Edge Starts Here.&quot;</description>
      <pubDate>Fri, 13 Mar 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/d43931ea-85f3-43bb-8634-5d12dcf00add_cfc9b091-0a3a-40ab-b1e3-43ed042139ea_98caacaa-5f05-4aad-909c-fb7d4415e781.mp3" length="3290400" type="audio/mpeg"/>
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      <itunes:duration>00:06:51</itunes:duration>
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      <itunes:episode>3</itunes:episode>
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    <item>
      <title>Pilot Insurance: Refundable, Outcome-Backed Trials That Close Deals</title>
      <description>Many pilots die because buyers fear wasting budget and vendors fear unpaid scope creep. In this interview-driven episode the host sits down with a commercial counsel who drafts refundable-trial clauses and a delivery lead who runs high-velocity pilots to teach a practical Pilot Insurance playbook. Listeners get a concrete micro-case (a 30-day refundable pilot that turned a hesitant mid-market buyer into a $48k ARR client), a 1-page Pilot SOW pack, an escrow clause snippet, a tranche-pricing formula, and two tested acceptance-KPI templates (one technical, one business). The episode focuses on designing conservative acceptance criteria, capping refundable exposure, operational runbooks for evidence collection, negotiation scripts to defuse procurement, and simple deposit rules to filter low-intent prospects. Practical legal guardrails and low-friction verification options make guarantees affordable and repeatable. Visit the show site to download the Pilot SOW pack, escrow snippet, and the 7-day pilot template at /pilot-insurance.</description>
      <pubDate>Mon, 16 Mar 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/9430de57-9214-4b3e-8d81-a51da0ae4c88_cfc9b091-0a3a-40ab-b1e3-43ed042139ea_98caacaa-5f05-4aad-909c-fb7d4415e781.mp3" length="3858616" type="audio/mpeg"/>
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      <itunes:duration>00:08:02</itunes:duration>
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      <itunes:episode>5</itunes:episode>
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    <item>
      <title>Renewal Armor: Detect Vendor Price Changes &amp; Protect Margins</title>
      <description>Advisors quietly lose margin when vendor rate changes slip through renewals priced to legacy quotes. In this episode Bob interviews a channel operations manager (who ran a 30-account pilot that recovered ~10% of lost margin) and a data/automation engineer to deliver a concise, human-first playbook for detecting vendor price changes and protecting renewal margin. Listeners will leave with four tangible takeaways: a Rate-Change Triage checklist, conservative repricing bands and approval gates, client conversation scripts that preserve trust, and a 30–60 day pilot plan with success metrics (Margin Protected %, Renewal Win Rate). The episode balances practical detection methods (APIs, scheduled exports, email parsing) with clear legal/ethical rules (vendor consent, partner-owner sign-off, avoid portal scraping without permission). Actionable examples, sample messages, and a suggested pilot roadmap make this feasible for small teams to run within a month and start recovering hidden revenue without harming client relationships.</description>
      <pubDate>Wed, 18 Mar 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/77993c35-9bf5-4fcd-ad07-1493e3fbd834_cfc9b091-0a3a-40ab-b1e3-43ed042139ea_98caacaa-5f05-4aad-909c-fb7d4415e781.mp3" length="3568970" type="audio/mpeg"/>
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      <itunes:duration>00:07:26</itunes:duration>
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      <itunes:episode>6</itunes:episode>
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      <title>The Automation Tabletop: A 7‑Day Safety Sprint to Stop Client‑Facing Failures</title>
      <description>Too many small teams rush automation and discover failure modes in production. This episode teaches a compact, practical Automation Tabletop you can run in seven days to surface the top risks, build immediate rollback and comms playbooks, and harden one high‑value automation without heavy engineering. Bob interviews an operations lead who ran a real tabletop after a costly activation incident and an SRE/AI‑ops engineer who shows lightweight monitoring and alert patterns suitable for non‑engineers. Listeners get a reproducible agenda (stakeholder map, failure catalog, test cases), three incident scripts (client notice, partner escalation, internal postmortem), a one‑page rollback checklist, and a conservative pilot plan to harden one automation in a week. The episode keeps solutions pragmatic: human gates, canary runs, short retention logs, and clear go/no‑go criteria so advisors can scale safely and keep client trust intact.</description>
      <pubDate>Sat, 21 Mar 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/episode_02e183cb-468c-4a17-91c6-4364815a83db.mp3" length="354" type="audio/mpeg"/>
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      <itunes:duration>00:05:54</itunes:duration>
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      <itunes:episode>7</itunes:episode>
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      <title>Transparency Snapshot: Publish a Monthly Client Audit to Lock Renewals &amp; Upsells</title>
      <description>Small advisory teams sit on a hidden retention lever: regular, buyer-friendly visibility into what you actually did and why it mattered. This interview-led episode teaches advisors how to package a one-page monthly Transparency Snapshot for clients — a safe, repeatable artifact that reduces churn, shortens renewal conversations, and creates natural upsell triggers. Bob interviews a customer-success lead who reclaimed stalled renewals with a reporting cadence and an operations lead who automated evidence collection without exposing PII. Listeners get a field-ready Snapshot template (actions taken, time saved, incidents triaged, one conservative ROI line), a 30-day rollout plan to pilot with 10 accounts, client-facing language that preserves trust, and a simple automation blueprint to gather evidence from CRM, ticketing, and automation logs. Practical guardrails ensure the Snapshot is conservative, legal-first, and explicitly human-reviewed before distribution. Visit the show site to download the Transparency Snapshot kit and client-ready templates so you can start the pilot this month.</description>
      <pubDate>Sat, 28 Mar 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/episode_70ccfb6d-c954-4980-969b-79e14c372d74.mp3" length="409" type="audio/mpeg"/>
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      <itunes:duration>00:06:49</itunes:duration>
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      <itunes:episode>8</itunes:episode>
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      <title>Demo Data Sandbox: Build Synthetic, Buyer-Safe Test Data for Demos, Pilots &amp; AI Trials</title>
      <description>Demos, pilots, and model tests all need realistic data — but using live client records risks privacy, vendor friction, and lost trust. In this interview episode Bob sits with a data-privacy engineer and a demo-product lead to deliver a step-by-step Demo Data Sandbox playbook tailored for small technology advisory teams. Listeners learn how to choose one demo use-case, build a lightweight synthetic-data pipeline (mapping, anonymize→synthesize→validate), host a minimal sandbox, and produce buyer-safe artifacts (screenflows, one-page evidence sheets) that speed approvals and close pilots. The episode focuses on practical, low-code patterns you can run without a data team: spreadsheet-based synthesis, template-driven record generators, and conservative validation checks. You’ll get a 30-day pilot plan, copyable consent language, and a downloadable Demo Data Sandbox kit (mapping template, synth prompts, validation checklist) so teams can safely start demos this week. Visit the show site to grab the kit — Your Edge Starts Here.</description>
      <pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>9</itunes:episode>
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      <title>Live Seller Assistant: CRM Sidekick for Real-Time Closures</title>
      <description>Small advisory teams often lose momentum in live conversations because the right line or proof snippet isn’t available at the moment it matters. In this focused episode Bob interviews a CRM integration engineer and a seller who ran a compact, low-risk Live Seller Assistant pilot that surfaced one-line prompts, objection counters, and next-step scripts in a CRM sidebar in suggest-only mode. Listeners will get a practical blueprint: pick one in-call scenario, build a low-code read-draft-approve flow, size a 30-day pilot for ~20 calls, and track conservative success gates like Qualified→Pilot lift and adoption rate. The episode balances technical architecture (webhooks, sidebar vs extension, audit logs) with seller change management, compliance guardrails, and a short internal checklist listeners can use to run a safe pilot. Episode resources are framed as show materials and a downloadable pilot pack for listeners who want implementation templates and prompt recipes.</description>
      <pubDate>Sun, 05 Apr 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/episode_deee60f2-75e3-4b39-9447-1fae3587144c.mp3" length="466" type="audio/mpeg"/>
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      <itunes:duration>00:07:46</itunes:duration>
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      <itunes:episode>10</itunes:episode>
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      <title>Referral Engine: AI-Orchestrated Client Networks That Drive Predictable Leads</title>
      <description>Most technology advisors rely on sporadic referrals and wishful thinking. This episode reframes referrals as a repeatable, automation-first channel you can design, measure, and scale with lightweight AI. Bob interviews a guest who has built referral programs for channel partners and uses AI to automate outreach, incentives, tracking, and follow-up. Listeners will get a practical, vendor-agnostic playbook: identify referral-ready clients, craft automated micro-asks, trigger personalized outreach using AI templates, track referral health in a simple dashboard, and close the loop with automated thank-yous and commission flows. The episode teaches specific prompts, workflow patterns, and measurable KPIs you can implement in a day or two. By the end you'll have a seven-step starter checklist and one accessible automation to deploy this week — turning underused client goodwill into a predictable lead source that scales without hiring a team.</description>
      <pubDate>Mon, 06 Apr 2026 00:00:00 GMT</pubDate>
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      <itunes:duration>00:09:16</itunes:duration>
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      <itunes:episode>11</itunes:episode>
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      <title>Deal Risk Radar: Using Lightweight AI to Predict, Prioritize, and Rescue At-Risk Deals</title>
      <description>Many tech advisors lose deals not from price but from predictable, fixable risks: missed follow-up, misaligned decision-makers, vendor hiccups, or silent churn signals. In this interview Bob Bevilacqua talks with a guest practitioner who built a pragmatic, low-cost Deal Risk Radar that analyzes CRM entries, email cadence, call notes, proposal status, and vendor alerts to surface high-risk opportunities. Listeners will get a step-by-step playbook for signals to track, a simple scoring model they can implement in days, automation triggers to rescue deals, and ready-to-use scripts for human follow-up. This episode teaches a concrete process, solves the problem of inconsistent follow-up and hidden deal leakage, and leaves advisors with three immediate actions to start protecting pipeline revenue this week.</description>
      <pubDate>Tue, 07 Apr 2026 00:00:00 GMT</pubDate>
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      <itunes:duration>00:10:09</itunes:duration>
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      <itunes:episode>12</itunes:episode>
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      <title>Commission Compass: Using AI to Maximize Partner Revenue and Win Rates</title>
      <description>Many technology advisors leave money on the table because vendor programs, commission rules, and routing options are messy, manual, and time-consuming. In this episode Bob Bevilacqua interviews a channel revenue strategist to teach a practical, step-by-step approach for building an AI-powered 'Commission Compass'—a lightweight system that analyzes program rules, predicts net take-home per deal, and recommends the best vendor path to maximize margin and close probability. Listeners will walk away with a simple scorecard model, a three-step pilot plan they can run in a week, and scripts to present optimized options to clients. This episode solves the real problem of opaque partner economics and moves advisors toward immediate action: identify top 3 programs, run 10 deal simulations, and start routing smarter this month. Visit AcquasitionAI.com/commission-compass to download the scorecard template and pilot checklist.</description>
      <pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>13</itunes:episode>
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      <title>Quarterly Growth in 10 Minutes: AI-Crafted QBRs that Drive Upsells</title>
      <description>Most tech advisors treat QBRs as administrative check-ins. This episode flips that script: Bob interviews a technology advisor who built an AI-driven QBR system that turns every client review into a predictable source of savings, upsells, and renewals. Listeners will get a step-by-step framework for extracting data from bills, tickets, monitoring tools and CRM notes; feeding lightweight prompts to generate a one-page executive summary, prioritized recommendations, and a 3-step action plan; and automating delivery and follow-up without losing the human touch. The conversation focuses on practical tools, simple templates, and measurable outcomes — showable ROI, time-saved, and predictable expansion revenue. By the end of the episode you’ll know exactly how to pilot AI QBRs with three clients, what metrics to track, and a low-risk rollout plan that preserves relationships while unlocking hidden revenue. Visit the show site for templates and starter prompts.</description>
      <pubDate>Fri, 10 Apr 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>14</itunes:episode>
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      <title>Audit-for-Profit: Build an AI-Powered Telecom &amp; Contract Audit Service</title>
      <description>Many tech advisors leave recurring revenue and easy wins on the table because manual audits are slow, inconsistent, and painful. In this episode Bob and a guest who has built a profitable audit-for-fee offering walk through how to use lightweight AI to analyze telecom bills, vendor contracts, and usage telemetry, surface guaranteed savings or reclamation opportunities, and package findings as a saleable service. You’ll get a step-by-step blueprint: which data sources to collect, how to automate anomaly detection and margin-safe recommendations, pricing and pilot structures that win trust, and exactly how to turn every audit into follow-up upsells and retained services. This is tactical, low-tech-to-start advice that a solo advisor or small MSP can implement in weeks to create a new predictable revenue stream and differentiate in a crowded channel.</description>
      <pubDate>Sun, 19 Apr 2026 00:00:00 GMT</pubDate>
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      <itunes:duration>00:10:18</itunes:duration>
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      <itunes:episode>15</itunes:episode>
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      <title>Partner Pipeline: Build an AI-Powered Channel Co-Sell Engine</title>
      <description>Most tech advisors treat partners as sporadic referrals instead of a predictable growth channel. In this episode Bob interviews a channel-ops leader who built an AI-driven co-sell engine that discovers complementary partners, scores fit and intent, automates outreach and follow-up, and handles deal handoffs and revenue-share workflows. You’ll get a concrete, step-by-step playbook you can implement in 30/60/90 days: how to identify high-opportunity partner types, lightweight datasets and signals to score fit, templates and automation flows that book joint meetings, and simple tracking to ensure commissions and referrals are captured. This episode teaches a real system, solves the common “partners go dark” problem, and gives actionable templates and a quick implementation checklist so solo advisors and small teams can start co-selling without new headcount.</description>
      <pubDate>Mon, 20 Apr 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Hybrid AI SDR: Build a 10-Minute-Per-Day Prospecting Machine</title>
      <description>This episode teaches technology advisors a practical, low-effort way to convert cold prospects into qualified meetings by combining AI-driven outreach with human review. Bob interviews a practitioner who built a hybrid AI SDR for small tech firms: the episode breaks down the minimum data you need, the exact triggers and sequences that book meetings, prompt-and-script examples that sound authentic, and a measurable 30-day rollout you can copy. Listeners will walk away with a prioritized implementation checklist, simple KPIs to prove ROI, and a ready-to-run script set that requires about ten minutes of daily supervision. The focus is on actionable steps—no vendor hype—so solo advisors and small teams can automate repetitive outreach, reclaim lost time, and stop letting high-intent opportunities slip through. By the end, you’ll know what to build, what to test first, and how to scale without losing the human touch.</description>
      <pubDate>Tue, 21 Apr 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>17</itunes:episode>
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    <item>
      <title>Opportunity Radar: Build an AI Cross‑Sell Engine That Turns Client Data Into Booked Discovery Meetings</title>
      <description>Many technology advisors sit on a goldmine of expansion revenue buried inside client systems — ticketing spikes, unused bandwidth, billing anomalies, or feature gaps — but they lack a repeatable way to find and act on those signals. In this episode Bob interviews a practitioner who built a lean, production AI ‘Opportunity Radar’ that connects CRM, helpdesk, billing and basic usage telemetry, scores signals with simple machine rules + a small LLM layer, writes tailored outreach, and auto-schedules 15‑minute discovery calls with human handoff. Listeners will get a step‑by‑step 30‑day pilot plan, the minimal data you need, sample outreach templates, realistic KPIs (meetings/week, conversion), and guardrails to protect margins and relationships. This is a tactical, implementable play for solo advisors and small MSPs who want to unlock predictable, low-effort expansion revenue without heavy engineering.</description>
      <pubDate>Thu, 23 Apr 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>18</itunes:episode>
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    <item>
      <title>The Commission Safety Net: Automating Contract Compliance &amp; Commission Recovery with AI</title>
      <description>Most technology advisors leave money on the table because contracts, carrier portals, and commission rules are messy, manual, and easy to miss. In this episode Bob interviews a guest who built an AI-driven compliance engine that scans contracts, billing feeds, and vendor portals to surface at-risk commissions, expiring clauses, and mismatched terms — then automates prioritized outreach to recover revenue and lock in renewals. You’ll learn a practical, low-friction architecture you can run without a data science team, a step-by-step playbook for turning audits into a recurring service, and the exact prompts, integrations, and KPIs that make recovery measurable. By the end of the conversation you’ll have one concrete next step you can implement this week to stop leakage, protect margin, and create a new productized offering for clients.</description>
      <pubDate>Fri, 24 Apr 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/episode_9fbcaab3-b9f8-458b-ad4e-8ec31124c23b.mp3" length="599" type="audio/mpeg"/>
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      <itunes:duration>00:09:59</itunes:duration>
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      <itunes:episode>19</itunes:episode>
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    </item>
    <item>
      <title>Automation-as-a-Service: Package Low-Code AI Automations into Predictable Recurring Revenue</title>
      <description>This episode teaches technology advisors how to create a new recurring revenue stream by packaging low-code AI automations as a sellable service for clients. Bob interviews a guest who has launched 'Automation-as-a-Service' offerings that reduce clients' operational costs while generating predictable monthly fees. We'll walk through identifying high-impact, low-friction automations (billing reconciliation, ticket triage, commission recovery), building them with low-code/AI tools, estimating time-to-value, pricing models, SLAs, and a simple onboarding checklist you can deliver in under two weeks. Listeners will get an actionable playbook: how to scope a pilot, win internal buy-in from clients, set guardrails for data security and vendor selection, and a repeatable pricing template that protects margins. The episode is practical, tool-agnostic, and designed for advisors who are time-starved but want a scalable productized service they can sell to existing clients and new prospects.</description>
      <pubDate>Sat, 25 Apr 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>20</itunes:episode>
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    <item>
      <title>Personalized Demo Engine: AI That Builds 10-Minute Closing Demos</title>
      <description>Many technology advisors lose deals because their demos feel generic, unfocused, or take too long to assemble. In this episode Bob interviews a practitioner who built an AI-driven demo personalization engine for channel sellers and MSPs. Listeners will learn a step-by-step, repeatable process to turn client signals (CRM notes, discovery answers, billing and support data) into a compact 10-minute demo script, a three-slide deck, and a tailored discovery agenda — all in under 10 minutes. We cover the exact data inputs, prompt patterns, guardrails to prevent inaccurate claims, and simple integrations with calendar and proposal tools so you can automate delivery without losing control. The result: higher demo-to-proposal conversion, faster follow-up, and less time spent prepping. Actionable checklists and an implementation sequence let solo advisors and small teams pilot this the same week.</description>
      <pubDate>Sun, 26 Apr 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>21</itunes:episode>
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    <item>
      <title>Price Like a Pro: The AI Pricing &amp; Packaging Wizard for Tech Advisors</title>
      <description>Most technology advisors sell by the hour, by the deal, or by vague ‘value’ language — and miss easy revenue by not packaging and pricing their expertise. In this episode Bob interviews a guest who built an AI-powered Pricing &amp; Packaging Wizard specifically for channel sellers and tech advisors. You’ll learn a practical framework for turning services into three clean packages, how to use AI to generate market-tested price anchors and objection-handling lines, and a simple experiment you can run in 72 hours to validate demand. This is not theory: we walk through real packaging examples (managed backup, telecom audits, automation-as-a-service), scripts for discovery and closing, and the exact prompts to feed an AI so you get repeatable, conversion-focused outputs. By the end you'll be ready to productize one offering that sells itself and unlocks scalable recurring revenue.</description>
      <pubDate>Mon, 27 Apr 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>22</itunes:episode>
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    <item>
      <title>Onboarding to Expansion: Build an AI Client-Concierge That Converts New Clients into Predictable Revenue</title>
      <description>Most tech advisors treat onboarding as a checklist. In reality it’s the highest-leverage moment to lock retention, generate referrals, and seed expansion. This episode walks through a pragmatic, interview-led blueprint for building an AI Client‑Concierge — a lightweight, low-code automation layer that personalizes welcome sequences, runs milestone nudges, surfaces cross-sell triggers from usage and billing signals, and books proactive business reviews without adding headcount. Bob and our guest unpack concrete scripts, event triggers, integration patterns (CRM → billing → ticketing → calendar), and measurement KPIs you can implement in weeks. You’ll get an executable 3-step rollout plan focused on quick wins, risk controls to protect the client experience, and templates you can adapt to any tech advisory practice. By the end you’ll know how to convert onboarding from a cost center into a predictable revenue engine.</description>
      <pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate>
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      <itunes:duration>00:10:51</itunes:duration>
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      <itunes:episode>23</itunes:episode>
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    <item>
      <title>AI Sales Roleplay Lab: Turn Your Recordings into a 10-Minute Coaching Engine</title>
      <description>Many technology advisors know they should practice selling, but they don’t have time for roleplay, coaching, or expensive sales trainers. In this episode Bob interviews a guest who built a repeatable system that turns real call recordings into an automated AI roleplay coach — a tool advisors can use for 10-minute daily practice, realtime objection drills, and on-demand pitch sharpening. You’ll get a practical, step-by-step method: prepare recordings, label common moments (pricing, objections, discovery), feed prompts to a lightweight AI, and run simulated buyer-seller drills that mirror your market. The result: faster onboarding for reps, tighter messaging, fewer lost deals from weak follow-up, and measurable lift in conversion rates. This episode is hands-on, tool-agnostic, and built for solo advisors and small teams who need high-impact practice without the overhead of formal sales training.</description>
      <pubDate>Thu, 30 Apr 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>24</itunes:episode>
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      <title>Negotiation Edge: Train an AI Deal Coach to Protect Margins and Commissions</title>
      <description>Many technology advisors win business but lose margin, get undercut by vendors, or miss commission protections during complex contracts. This episode teaches a practical, repeatable approach to building an AI-powered negotiation coach you can use in prep, roleplay, and live objection handling. Bob interviews a guest who has built negotiation playbooks for channel partners and walks listeners through a step-by-step plan: capture past deal transcripts, codify win conditions and red lines, train simple prompt templates, and run roleplay sprints that sharpen responses and preserve commissions. Listeners leave with a 7-day playbook they can implement without heavy engineering: what to capture, how to structure prompts, how to keep a human review loop, and the KPIs to track. By the end you’ll know how to create a practical AI tool that increases deal confidence, shortens cycles, and protects your bottom line. Visit AcquasitionAI.com to download the episode checklist and starter prompt package.</description>
      <pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/episode_c5e30cf6-ca70-419e-a669-2648e8950186.mp3" length="580" type="audio/mpeg"/>
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      <itunes:duration>00:09:40</itunes:duration>
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      <itunes:episode>25</itunes:episode>
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    <item>
      <title>Account Narrative: Use AI to Build One-Page &quot;Why Now&quot; Playbooks That Book Meetings</title>
      <description>Most technology advisors know who they want to sell to — they just don’t have a fast, repeatable way to explain why now and get a meeting. In this episode Bob interviews an AI product leader who helped channel sellers turn public signals (job posts, funding, executive moves, outages, vendor changes) plus client telemetry into a one-page &quot;Why Now&quot; Account Narrative and a three-touch outreach sequence. You’ll hear a concrete, step-by-step workflow: what data to collect, how to prompt an LLM for a crisp buyer narrative, how to convert it into a short voicemail, email, and LinkedIn message that feels bespoke, and a simple scoring rule to prioritize accounts. By the end you’ll get an actionable one-week plan to pilot this with 20 accounts and start booking meetings without cold-calling hours.</description>
      <pubDate>Sun, 03 May 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>26</itunes:episode>
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      <title>Client Risk Index: Build a Lightweight AI Churn Radar for Tech Advisors</title>
      <description>Most technology advisors treat churn like bad luck — until a major client quietly leaves and commissions evaporate. This episode teaches a practical, non-technical approach to building a Client Risk Index: a lightweight churn-prediction system that combines a handful of high-value signals (billing anomalies, support volume, usage decline, payment delays, contract age) with simple scoring and automation. Bob interviews a practitioner who built a repeatable 30-day sprint that flagged at-risk accounts, automated a human-in-the-loop win-back playbook, and turned passive clients into review conversations and upsell opportunities. You’ll get a clear list of signals you can extract from common tools, a step-by-step scoring model you can implement with Sheets and Zapier/Make plus an LLM prompt set for prioritization, and an automation blueprint that assigns outreach, schedules account reviews, and tracks outcomes. Actionable, feasible, and designed for solo advisors and small teams.</description>
      <pubDate>Mon, 04 May 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/episode_c75caf75-dee0-45a6-ad5e-ecb0b4feabd1.mp3" length="655" type="audio/mpeg"/>
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      <itunes:duration>00:10:55</itunes:duration>
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      <itunes:episode>27</itunes:episode>
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      <title>Referral Multiplier: Build an AI-Powered Referral Engine That Books Qualified Meetings</title>
      <description>This episode teaches technology advisors how to convert existing clients into a predictable source of qualified leads using lightweight AI and simple automation. In a focused interview, Bob and a guest who implemented a referral engine walk through the exact signals to prioritize (usage spikes, renewal windows, NPS, recent wins), the AI prompts and message templates that preserve authenticity, and the automation playbook that delivers personalized referral asks at scale. Listeners leave with a one-week pilot plan, ready-to-use scripts for email/LinkedIn/voice, a margin-safe incentive framework, and measurement checkpoints to prove ROI. The episode is practical, step-by-step, and built for solo advisors and small teams who need lead generation that doesn’t require big marketing budgets or heavy technical skills. By the end you’ll know how to identify referral catalysts, automate outreach without sounding robotic, and start booking meetings from your existing client base within days.</description>
      <pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate>
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      <itunes:duration>00:09:55</itunes:duration>
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      <itunes:episode>28</itunes:episode>
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      <title>Priority Pipeline: Build a Real-Time AI Opportunity Scorer That Tells You Who to Call Today</title>
      <description>Most tech advisors have leads and accounts they rarely act on because they don’t know which ones matter today. In this interview Bob and a guest AI product leader walk through a practical, 5-step playbook for building a real-time Opportunity Scorer that blends CRM signals, public intent data, and customer lifetime value to produce a daily prioritized call list and suggested next action. Listeners will get a concrete MVP they can pilot in a week: the minimum signals to use, how to weight recency vs value, human-in-the-loop checks to protect relationships, and sample outreach scripts tailored to top-ranked opportunities. By the end of the episode you’ll have a clear, low-code blueprint to turn existing contacts into a predictable daily pipeline without hiring more reps.</description>
      <pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate>
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      <itunes:duration>00:08:41</itunes:duration>
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      <itunes:episode>29</itunes:episode>
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      <title>Handoff Science: Designing AI→Human Escalations That Close Deals</title>
      <description>Too many tech advisors automate outreach but lose deals when their AI never knows when to pass a lead to a human. In this episode Bob Bevilacqua interviews an experienced AI-SDR product lead to teach a lightweight, repeatable handoff framework you can implement in days. You’ll get the three-rule escalation blueprint (engagement threshold, deal velocity trigger, and revenue-risk override), exact message templates for AI-first and human-followup, and a checklist to test handoffs without harming conversion or margins. This episode solves a concrete pain: missed deals from poor escalation, and moves you to action with a one-week pilot plan that works with common CRMs and conversational AI tools. Expect specific examples, a short case study from a telecom agent who reclaimed stalled deals, and an action-oriented recap that leaves you with templates and a safe rollout path.</description>
      <pubDate>Thu, 07 May 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>30</itunes:episode>
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      <title>Battlecard Advantage: Build AI-Powered Competitive Positioning That Wins Deals</title>
      <description>Most technology advisors sound the same to prospects because they lack crisp, timely competitive positioning. This episode teaches a concrete, repeatable sprint you can run in a week to build AI-generated battlecards: one-page, prospect-specific playbooks that surface competitor risks, vendor gaps, pricing angles, and a clear ‘why choose you’ script. Bob interviews a practitioner who built this at a mid-sized channel firm and walks listeners through data sources to mine, the minimal templates that actually convert, simple scoring rules, and how to automate battlecards into CRM and outreach without losing human judgment. You’ll get a step-by-step pilot plan (data sources, prompts, review gates, and outreach cadence) so you can test in 7 days, plus metrics to watch. By episode end you’ll know exactly how to start building differentiated positioning that shortens sales cycles and protects margin.</description>
      <pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>31</itunes:episode>
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    </item>
    <item>
      <title>Price to Win: Building an AI Pricing &amp; Packaging Playbook for Tech Advisors</title>
      <description>This interview episode walks tech advisors through building an AI-assisted pricing and packaging playbook that increases close rates, protects margins, and shortens sales cycles. Bob interviews a guest who has built practical pricing engines for channel sellers, then breaks down a repeatable framework: discover value drivers, design tiered packages, use AI to generate personalized price narratives, and set guardrails to protect commissions. The conversation includes a real-world example where small, data-driven package changes lifted deal velocity and margin. Listeners get a week-long sprint they can run immediately: the exact data inputs to collect, prompt templates for offer generation, a simple A/B test plan, escalation rules, and ready-to-use scripts to communicate price confidently. Tactical, no-hype, and tailored to solo advisors and small teams, this episode teaches one implementable system that solves a real pricing problem and moves you toward action.</description>
      <pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>32</itunes:episode>
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    <item>
      <title>Deal Replay: Use AI to Analyze Lost Deals and Turn Failures into a Winning Playbook</title>
      <description>Too many tech advisors treat lost deals as a sunk cost. In this episode Bob interviews a practitioner who built a lightweight, practical 'deal replay' process that uses simple AI tools to analyze closed-lost opportunities, surface repeatable patterns, and convert those insights into concrete playbooks, scripts, and automated follow-ups. We break down the exact artifacts to collect (recordings, proposals, CRM notes, competitor mentions), a loss-reason taxonomy you can run in a weekend, prompt templates for LLMs to identify root causes, and the smallest viable dashboard to track improvement. Listeners will get a 5-step pilot plan they can execute in seven days — plus sample prompts, labeling tips, and KPIs to prove ROI. This episode teaches something actionable, solves the problem of revenue leakage from lost deals, and moves advisors to one immediate, measurable action.</description>
      <pubDate>Sun, 10 May 2026 00:00:00 GMT</pubDate>
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      <itunes:duration>00:08:30</itunes:duration>
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      <itunes:episode>33</itunes:episode>
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    <item>
      <title>Discovery DNA: AI-Generated Pre-Meeting Briefs That Close More Deals</title>
      <description>Too many tech advisors go into discovery calls blind, wasting time and leaving revenue on the table. In this interview episode Bob Bevilacqua sits down with a practitioner who built a lightweight “Discovery DNA” workflow: a human-in-the-loop AI pipeline that pulls CRM history, public signals, and intent cues to create a one-page pre-meeting brief, a prioritized agenda, three opportunity-focused discovery questions, objection-handling lines, and a 90-second personalized micro-pitch. Listeners get a step-by-step blueprint they can implement in a single afternoon: what data to feed, template prompts that work, simple guardrails to avoid generic output, and a short follow-up sequence that turns warm meetings into booked demos. This episode teaches a concrete workflow, solves poor meeting preparation, and leaves advisors with an immediate pilot they can run next week.</description>
      <pubDate>Mon, 11 May 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>34</itunes:episode>
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    <item>
      <title>Vendor Co-Sell Engine: Use AI to Turn Vendor Portals into Revenue Signals</title>
      <description>Most technology advisors know there’s money left on the table inside vendor portals, rebates, and short-term promos — but tracking them across dozens of suppliers is impossible by hand. In this episode Bob interviews a practitioner who built a practical, low-cost ‘Vendor Co-Sell Engine’ that scrapes vendor signals, normalizes commissions and promotions, matches them to an advisor’s client book, and auto-generates 1:1 outreach sequences and playbooks. You’ll get a step-by-step blueprint: what signals to capture, how to prioritize opportunities, simple templates to convert outreach into meetings, and a 30/60/90 day pilot you can run with minimal engineering. The goal is tactical: teach a repeatable process you can implement in a week, solve vendor overwhelm, and move advisors to action with measurable uplift in closed deals and monetized relationships.</description>
      <pubDate>Tue, 12 May 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/episode_4d6cb0fe-265a-4a23-be2b-b9910ff95a83.mp3" length="496" type="audio/mpeg"/>
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      <itunes:episode>35</itunes:episode>
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    <item>
      <title>Micro-Commitments That Convert: An AI-Driven Nurture Engine for Tech Advisors</title>
      <description>Most technology advisors lose deals and leads because they ask for too much too soon. In this interview Bob Bevilacqua breaks down a practical, repeatable system for using AI to create short, value-first micro-commitments — tiny, low-friction asks (a 60-second audit, a one-slide ROI snapshot, a 3-question form) that move prospects forward without high pressure. Bob and a guest practitioner walk through a three-part framework: design micro-commitments mapped to buyer intent, automate multi-channel delivery with human-in-the-loop AI, and define escalation rules so the right conversations get handed to a human at the right time. Listeners leave with ready-to-run templates, sequence examples, KPIs to track, and a 30-day pilot plan that fits solo advisors and small teams. This episode teaches something real, solves a persistent outreach problem, and gives one clear next step to take action.</description>
      <pubDate>Wed, 13 May 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/episode_6d06a8cc-bcc0-47f4-9ba2-4c54ea46b4fb.mp3" length="525" type="audio/mpeg"/>
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      <itunes:episode>36</itunes:episode>
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    <item>
      <title>Support Signals: Mining Tickets &amp; Conversations with AI to Create a Predictable Expansion Engine</title>
      <description>Most channel partners are sitting on a goldmine: support tickets, help-desk chats, and billing notes that scream expansion signals but nobody listens. In this interview Bob and a guest (an AI-driven customer success leader) walk through a practical, low-tech-first approach to mining conversations with lightweight NLP to find upsell triggers — license requests, feature gaps, recurring manual work, and vendor frustrations — and turn those signals into prioritized outreach workflows. You'll get a step-by-step playbook you can pilot in 30 days: what data to extract, simple models to surface opportunities, play templates for triggered outreach, and human-in-the-loop rules that prevent noise. This episode teaches a repeatable, low-cost system that solves inconsistent follow-up, replenishes lead flow from existing clients, and creates a predictable expansion engine without heavy engineering. Listeners will leave with concrete next steps, a checklist for a 30-day pilot, and scripts to start outreach the week after you listen. Visit the show site to grab the companion checklist and templates.</description>
      <pubDate>Thu, 14 May 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/episode_18d3d639-44d6-4a4c-aee0-129b35dd0f6a.mp3" length="552" type="audio/mpeg"/>
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      <itunes:duration>00:09:12</itunes:duration>
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      <itunes:episode>37</itunes:episode>
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    <item>
      <title>Mini-Case Factory: Turn Service Work into Sales-Ready Case Studies with AI</title>
      <description>Most technology advisors treat every win the same: a closed ticket or signed order. But those small victories—speedy migrations, incremental cost savings, last-minute saves—are sales gold when turned into short, credible case stories. In this interview Bob sits with a practitioner who built a repeatable &quot;Mini-Case Factory&quot; that uses lightweight AI to extract outcomes from invoices, tickets, and onboarding notes, generates client-friendly one-page case studies and ROI snippets, and pushes them into sales sequences and LinkedIn posts. Listeners will hear a step-by-step workflow they can replicate without hiring writers, templates for client permission and ROI calculation, and a two-hour pilot to create your first three case assets. By the end you'll have a clear plan to turn everyday service work into consistent lead magnets, differentiation that beats price competition, and a scalable content engine that supports renewals and expansion.</description>
      <pubDate>Fri, 15 May 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/episode_dbc2b0a0-fd74-4778-b8aa-c6a998b78a39.mp3" length="551" type="audio/mpeg"/>
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      <itunes:duration>00:09:11</itunes:duration>
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      <itunes:episode>38</itunes:episode>
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    <item>
      <title>QBRs on Autopilot: Build AI-Driven Quarterly Business Reviews That Retain &amp; Upsell</title>
      <description>Most technology advisors know Quarterly Business Reviews should be revenue moments — yet they rarely run them consistently or well. In this episode Bob interviews a practitioner who built an AI-assisted QBR workflow that automates data collection, crafts concise, client-specific insights, schedules the meeting, and produces prioritized upsell plays. Listeners get a practical, low-tech blueprint they can pilot in weeks: what data to pull (billing, tickets, usage, renewals), how to prompt AI to write persuasive talking points and one-page executive summaries, rules for human-in-the-loop checks, and an automated follow-up sequence that converts QBRs into proposals. The conversation focuses on simple integrations, measurable KPIs (show rate, expansion rate, churn reduction), templates Bob uses with advisors, and a 5-client pilot plan. By the end you’ll have an actionable roadmap to stop leaving revenue on the table and run QBRs that scale without losing the human touch.</description>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/episode_468c24e3-43f3-4a62-ac25-996f256bf6cc.mp3" length="533" type="audio/mpeg"/>
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      <itunes:duration>00:08:53</itunes:duration>
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      <itunes:episode>39</itunes:episode>
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    </item>
    <item>
      <title>Hidden Commissions: Use AI to Audit Vendor Portals and Recover Missed Revenue</title>
      <description>Many technology advisors leave real money on the table because vendor portals, billing systems, and contract footnotes are noisy, inconsistent, and time-consuming to reconcile. In this practical interview, Bob Bevilacqua and a guest who runs commission-recovery projects walk through a repeatable, low-tech + AI approach you can run in 30 days. You’ll learn which data sources to prioritize (vendor portals, invoices, CRM, contracts), simple NLP and RPA patterns that surface mismatches, a lightweight human-in-the-loop review workflow, and outreach language that turns findings into recovered commissions or credits. This episode teaches a concrete playbook, solves the immediate problem of unseen revenue leakage, and moves listeners to a clear next step they can implement without hiring a data scientist. Expect real templates, measurable KPIs to track, and a pilot plan built for solo operators and small teams.</description>
      <pubDate>Sun, 17 May 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/episode_e78b8ab9-d415-452d-a566-551023eeea1b.mp3" length="593" type="audio/mpeg"/>
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      <itunes:duration>00:09:53</itunes:duration>
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      <itunes:episode>40</itunes:episode>
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    </item>
    <item>
      <title>Proposal to Close: AI Proposals That Predict and Push Deals Over the Line</title>
      <description>Most tech advisors write proposals the same way they’ve always done — manual, generic, and easy to ignore. In this episode Bob interviews a guest who built an AI-driven proposal and close-prediction system specifically for technology sellers. We teach an actionable, step-by-step approach: collect the minimum viable inputs that power personalization, embed pricing rules and margin guardrails, add a lightweight predictive model that scores close probability, and automate follow-up sequences based on score and buyer behavior. Listeners will get a feasible 30-day pilot plan they can run with existing CRM and document tools, scripts for higher-converting executive summaries, and a repeatable rollout checklist that preserves margins and compliance. This episode solves a real problem — too many proposals, too few closes — and moves advisors one concrete step closer to measurable revenue.</description>
      <pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/episode_fdecac95-4074-4028-8a69-89d0c9295b74.mp3" length="638" type="audio/mpeg"/>
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      <itunes:duration>00:10:38</itunes:duration>
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      <itunes:episode>41</itunes:episode>
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    <item>
      <title>The 15‑Minute AI Sales Coach: Daily Roleplay that Turns Conversations into Closed Deals</title>
      <description>This episode teaches a compact, repeatable system: use lightweight AI tools as a daily sales coach to rehearse discovery calls, generate tailored rebuttals, score your talk tracks, and create ready-to-send follow-ups. Bob interviews a practitioner who built a simple AI-driven routine that transformed cold outreach and follow-up for a small MSP. Listeners will get an exact 15-minute workflow, templates for discovery openers and objection responses, and a checklist to integrate AI coaching into an advisor’s calendar and CRM. The focus is practical: minimal setup, measurable lift in show rates and conversion, and safeguards to keep conversations authentic and compliant. If you’re time-starved but need better sales execution, this episode turns practice into consistent performance — one short, high-impact routine you can deploy this week.</description>
      <pubDate>Tue, 19 May 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/episode_e9f7b24c-4f5a-4ec9-98a7-a66933707c3f.mp3" length="501" type="audio/mpeg"/>
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      <itunes:duration>00:08:21</itunes:duration>
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      <itunes:episode>42</itunes:episode>
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    </item>
    <item>
      <title>Zero-Prep Demo Generator: Use AI to Build On-the-Fly Demos That Close Deals</title>
      <description>In this interview Bob talks with a founder of an AI demo automation tool and a veteran technology advisor who used it to convert cold outreach into booked meetings. The episode teaches a step-by-step workflow for creating ‘zero-prep’ demos: supply minimal client context, product highlights, and environment cues to an AI that returns a 5–7 minute demo script, talking points, a short live walkthrough plan, and a two-slide follow-up one-pager. We cover concrete prompts, the minimal data sources you need, simple integrations with calendar and meeting platforms, common objections and guardrails to preserve credibility, and a 30-day pilot any advisor can run without hiring designers or engineers. Listeners walk away with templates, a checklist, and a safe rollout plan that produces immediate lift in show-rates and demo-to-close velocity.</description>
      <pubDate>Wed, 20 May 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/episode_237903af-ac2b-4c63-bfcb-a0bbb288cc68.mp3" length="584" type="audio/mpeg"/>
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      <itunes:duration>00:09:44</itunes:duration>
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      <itunes:episode>43</itunes:episode>
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    </item>
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      <title>Safe &amp; Sellable: Lightweight AI Governance for Tech Advisors</title>
      <description>Many technology advisors know AI can accelerate their business but worry about legal, privacy, and ethical landmines. In this episode Bob Bevilacqua interviews a practical AI governance expert to deliver a lightweight, sellable governance playbook built specifically for tech advisors. Listeners will get a five-step framework they can implement without hiring a legal team, a 2-week pilot they can bill, and word-for-word scripts that turn compliance into a competitive advantage. The episode teaches how to inventory AI use, capture client consent, enforce data hygiene, create transparent client-facing disclosures, and set escalation rules for sensitive decisions. It solves the real problem of paralysis-by-uncertainty by offering templates, low-effort controls, and measurable outcomes advisors can put into practice Monday morning. By the end listeners will have three immediate actions and a checklist to start packaging governance as a revenue-generating service.</description>
      <pubDate>Thu, 21 May 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/episode_bd0578c1-3329-4f2d-93ae-80c6b9551951.mp3" length="523" type="audio/mpeg"/>
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      <itunes:duration>00:08:43</itunes:duration>
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      <itunes:episode>44</itunes:episode>
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    <item>
      <title>The 7-Minute Prospect Audit: AI-Powered Pocket Pitch that Books Meetings</title>
      <description>Most technology advisors live and die by meetings — but getting a prospect to say yes to a meeting is the hardest step. In this episode Bob interviews a practitioner who built a repeatable ‘7‑Minute Prospect Audit’ that turns public signals into a concise, defensible one‑page audit you can deliver before a call. Listeners will get a step‑by‑step framework for sources to check (public job posts, vendor footprints, recent outages, LinkedIn signals, tech stack hints), the exact AI prompts and templates to synthesize findings into a persuasive pocket pitch, and the short email/LinkedIn sequences that reliably book meetings. This episode teaches a practical, low-cost pilot you can run this week, solves the top lead-generation bottleneck by creating conversation-ready deliverables, and moves you to action with a 30-day testing plan that fits solo operators and small teams.</description>
      <pubDate>Fri, 22 May 2026 00:00:00 GMT</pubDate>
      <enclosure url="https://audio.podpilot.org/production/workspaces/24cd67c4-dd13-46e3-b3d5-74d8221bdf23/episode_4e0ab19b-d20f-4013-830d-229a5a0f00eb.mp3" length="462" type="audio/mpeg"/>
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      <itunes:duration>00:07:42</itunes:duration>
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      <itunes:episode>45</itunes:episode>
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    </item>
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      <title>Voicemail-to-Meeting: Build a Voice-First AI SDR That Books More Calls</title>
      <description>This episode teaches a concrete, step-by-step playbook for building a voice-first AI SDR that converts cold outreach into booked meetings for technology advisors, IT providers, and telecom agents. Bob interviews a practitioner who built a simple stack—AI script generator, TTS voicemail drops, short personalized follow-up SMS, and booking automation—and reduced outbound friction while lifting callback rates. Listeners will hear exact prompts, cadence, and quality controls that work without heavy engineering. You’ll get a 30/60/90 day pilot plan, measurable benchmarks to track, and a ready-to-run template you can test in a week. The episode solves the top pain point—lead generation—by showing how to scale outreach with fewer hours and predictable outcomes, and it moves you to action with clear next steps and a pilot checklist. Visit acquasition.ai/edge to download the templates and pilot guide.</description>
      <pubDate>Sat, 23 May 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>46</itunes:episode>
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      <title>AI Win/Loss Decoder: Automate Post‑Mortems to Turn Every Deal into a Playbook</title>
      <description>Bob interviews a practitioner who built an &quot;AI Win/Loss Decoder&quot; — a lightweight, revenue-focused pipeline that ingests call transcripts, proposals, emails, and CRM notes to reveal why deals won or lost and then auto-generates repeatable playbooks, objection responses, and next-step sequences. This episode walks through exact data sources, simple labeling approaches, prompt patterns, and human-in-the-loop checks so listeners can start with 50–200 historical deals and get meaningful insights fast. You’ll hear concrete examples of playbooks one advisor deployed, the validation metrics they used, and a pragmatic rollout plan that fits a solo operator or small team. The conversation teaches a replicable method, solves the mystery of inconsistent sales outcomes, and gives a clear, actionable path to turn existing deal history into predictable revenue.</description>
      <pubDate>Sun, 24 May 2026 00:00:00 GMT</pubDate>
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      <title>Matchmaker for Margin: Build an AI Carrier &amp; Partner Matching Engine</title>
      <description>This episode shows tech advisors how to build a compact, actionable AI-driven partner-matching system that solves vendor overwhelm, uncovers higher-margin opportunities, and creates a compelling, sellable differentiation. In a focused interview, Bob walks a practitioner through the end-to-end approach: selecting the right signals (contracts, usage, vertical fit), assembling reliable public and CRM data sources, designing a simple scoring model, and wiring outcome-driven automations (targeted outreach, proposal snippets, and commission tracking). Listeners will get a clear step-by-step blueprint they can pilot in a single week, concrete KPIs to measure success, and sample scripts that convert recommendations into signed deals. This is practical, no-fluff guidance for advisors who want to stop guessing about vendors and start recommending—and monetizing—the best options for each client.</description>
      <pubDate>Mon, 25 May 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>48</itunes:episode>
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      <title>Deal Rescue Sequence: Using AI to Recover Slipping Deals and Stale Proposals</title>
      <description>Many tech advisors lose revenue not from a lack of leads but from deals that go cold after initial interest. In this 10-minute interview episode Bob Bevilacqua and a guest practitioner walk through a practical, step-by-step approach to building an AI-powered Deal Rescue Sequence: a small system that monitors CRM signals and vendor portals, predicts which opportunities are slipping, and launches tailored re-engagement across email, text, voicemail drops, and micro-offers. Listeners will get concrete scripts, signal thresholds, a short implementation checklist that fits into a solo advisor’s week, and measurable quick wins you can deploy in days. This episode teaches something real, solves a pressing revenue leak, and pushes you toward immediate action with a tested template and next steps to automate follow-up and close revenue that’s already in your pipeline.</description>
      <pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate>
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      <title>Account Growth Engine: Use AI to Mine Existing Clients for Predictable Upsell and Retention</title>
      <description>In this interview episode Bob Bevilacqua sits down with a practicing technology advisor who built an 'Account Growth Engine' that turned underused client relationships into predictable revenue. We teach a practical, step-by-step framework you can implement in a weekend: what client data to surface, how to score upsell and churn risk signals, simple automations that generate personalized Quarterly Business Reviews (QBRs), and the message sequences that convert. Listeners will get concrete templates (discovery triggers, QBR outlines, follow-up cadences), a 30/60/90 implementation plan, and measurable metrics to track. This episode solves the real problem of revenue leakage and inconsistent follow-up by giving advisors an automated, repeatable process to expand accounts and protect churn — all without adding headcount or complex integrations.</description>
      <pubDate>Wed, 27 May 2026 00:00:00 GMT</pubDate>
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      <title>Referral Multiplier: AI That Turns Existing Clients into a Predictable Lead Engine</title>
      <description>Most technology advisors treat referrals like luck. This episode flips that script and teaches a repeatable, low-effort system to make referrals predictable. Bob interviews a guest who built an AI-driven referral multiplier that scores clients by referral propensity, crafts context-rich, personalized outreach, and automates timing and follow-up across email, SMS, and voice. Listeners will get a concrete 30/60/90-day playbook they can implement without heavy engineering: the minimal data you need, simple prompt and template patterns, a compliant opt-in flow, and a metrics dashboard to track real ROI. By the end you’ll know exactly which clients to ask, what to say, when to ask, and how to automate follow-up so referrals arrive reliably — freeing advisors to sell while the machine works.</description>
      <pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>51</itunes:episode>
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    <item>
      <title>The AI Negotiation Coach: Real‑Time Prompts That Close More Deals</title>
      <description>Too many deals stall at price objections or vague procurement tactics. In this 10‑minute interview, Bob and a guest who built a lightweight AI negotiation assistant walk through a practical, repeatable approach advisors can implement this week. You’ll hear the core prompts that turn common objections into opening lines for value conversations, a simple setup that integrates with calls, emails and proposal tools, and a three-step verification loop to keep AI suggestions accurate and compliant. This episode teaches a real negotiation playbook, solves the problem of inconsistent objection handling and lost margin, and moves you one step closer to action with a prioritized checklist: where to start, what to train the model on, and a quick A/B test you can run on your next 10 opportunities. By the end you’ll know exactly how to add an AI co-pilot that protects margin and shortens sales cycles without hiring more people.</description>
      <pubDate>Sat, 30 May 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>52</itunes:episode>
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      <title>48-Hour Pipeline Rescue: Clean, Score, and Reactivate Dead Leads with AI</title>
      <description>You’re sitting on revenue. For busy technology advisors, the fastest, highest-ROI growth play is not chasing new leads—it’s rescuing the ones already in your CRM. In this 10-minute episode Bob walks you through a practical 48-hour AI Pipeline Rescue: the exact sequence to clean and normalize records, enrich and score leads by intent and deal health, build hyper-personalized reactivation sequences, and automate follow-up cascades that convert cold contacts into meetings. You’ll get a prioritized checklist of tools, measurable KPIs to watch, and a simple script and email template that converts. This episode is deliberately tactical—no theory—so you can run the sprint this week and book meetings next week. Ready to stop losing money to bad data? Visit Acquasition AI to grab the rescue checklist and templates.</description>
      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
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      <title>Client Health Radar: Build an AI-Powered Churn &amp; Expansion Score to Protect Revenue</title>
      <description>Most technology advisors focus on new logos while revenue quietly bleeds from under-managed clients. In this episode I walk you through a step-by-step, no-fluff plan to build a lightweight AI-powered Client Health Radar you can stand up fast. You’ll learn which five signals matter (usage, incidents, billing trends, engagement, contract age), how to combine them into a single score, and which simple models or rules work without fancy data science. I’ll show exactly how to set alert thresholds, automate outreach templates for at-risk clients, and trigger expansion plays when signals turn positive. This is tactical guidance for solo advisors and small teams: minimal tooling, immediate impact, and clear KPIs so the next quarter’s retention and expansion aren’t guesses — they’re predictable outcomes. By the end you’ll have a practical playbook and a one-page template to start protecting revenue today.</description>
      <pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate>
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      <title>The 10-Minute AI Prospect Brief: Close More Meetings With Zero Guesswork</title>
      <description>Busy technology advisors live or die by speed-to-lead and relevance. In this episode Bob interviews AI automation expert Alex Ramariz to teach a repeatable 10-minute workflow that converts one prospect record into a complete outreach package: tailored email, two-step call script, personalized LinkedIn touch, and a one-page meeting prep brief. You’ll hear the exact prompts, data sources, and guardrails Alex uses to keep messages human, focused, and high-converting — plus a live walkthrough turning a LinkedIn profile into outreach assets during the episode. The goal is practical: an implementable playbook that saves hours, improves response rates, and preserves advisor voice so you can scale outreach without hiring. Real templates, clear mistakes to avoid, and a deployment checklist mean listeners can run their first brief the same day.</description>
      <pubDate>Wed, 03 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:duration>00:06:25</itunes:duration>
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      <itunes:episode>55</itunes:episode>
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      <title>The Tech-Stack Audit Cold Opener: Turn Public Signals Into One-Page Audit Reports That Book Meetings</title>
      <description>Tired of generic outreach that never gets replies? In this 10-minute interview episode Bob Bevilacqua and guest Alex Ramariz walk through a practical, repeatable workflow that turns publicly available signals into a short, high-value audit you can send to prospects in under 20 minutes. You’ll learn which data sources actually reveal a company's telecom/VoIP, cloud, and security posture, the lightweight tools and prompts to synthesize that data into a one-page &quot;Tech Risk &amp; Opportunity Audit,&quot; and the exact subject lines and two-step outreach sequence that converts. This episode teaches a concrete process, solves the lead-generation and time-starved outreach problem, and gives advisors a ready-to-run audit template and prompt library to test immediately. Visit our site to download the free one-page audit template and the prompt playbook so you can start booking meetings this week.</description>
      <pubDate>Thu, 04 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>56</itunes:episode>
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      <title>The Voice Prospecting Playbook: Scalable Conversational Outreach with AI</title>
      <description>This episode unpacks a practical, repeatable playbook for using AI-powered voice prospecting to generate meetings from cold and lukewarm prospects. Bob interviews Anna Lee (or Alex Ramariz as backup) to walk through the exact components advisors need: the script DNA that sounds human, a compliant telephony stack, a 3-touch voice sequence that converts, and the metrics to run this as a repeatable campaign. You’ll get a mini case study showing scripts that moved the needle, clear implementation steps you can complete in a week, and simple safeguards so your outreach stays legal and ethical. Designed for solo advisors and small teams, the episode teaches one real system, solves the “no-time-to-prospect” problem, and gives listeners an immediate action plan they can implement with existing tools.</description>
      <pubDate>Fri, 05 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:duration>00:09:33</itunes:duration>
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      <title>Zero-Prep Demo Engine: How to Use AI to Build Hyper-Personalized Telecom Demos in 10 Minutes</title>
      <description>Too many technology advisors lose deals because demos feel generic or take hours to prepare. In this interview episode Bob sits with Alex Ramariz (AI &amp; automation) and Mark Rivera (zero-prep demo strategist) to teach a practical, repeatable system: a lightweight AI Demo Engine that converts public data (LinkedIn, company site, job postings, tech stack signals) and a product template into a 5–7 minute sales demo personalized to the prospect — all in under 10 minutes. We’ll walk the exact prompts, demo script structure, one-slide visual cue set, and an automated follow-up sequence that books the next step. Listeners leave with a checklist, three tested prompt templates, and an action plan they can implement that afternoon to stop losing deals to larger vendors or low-cost competitors.</description>
      <pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>58</itunes:episode>
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      <title>The 10-Minute Proposal Factory: Build Winning, AI-Powered Proposals for MSPs &amp; Telecom Deals</title>
      <description>Too many advisors lose deals because proposals arrive late, are generic, or destroy margin. In this episode Bob sits down with Anna Lee to teach a compact, repeatable 'Proposal Factory' workflow that generates client-ready telecom and MSP proposals in ten minutes. We break the process into three actionable parts: signal collection (what to pull from public profiles and CRM), AI-driven framing (how to write value-first executive summaries and ROI bullets that executives actually read), and risk-proof pricing + implementation plans that protect margin and speed approvals. This interview is pragmatic: you’ll hear exact prompts, a demo-style walkthrough of outputs, and a checklist you can apply this afternoon. By the end you’ll be able to produce faster, more persuasive proposals that convert more meetings into signed contracts—without hiring a proposal writer.</description>
      <pubDate>Sun, 07 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>59</itunes:episode>
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      <title>The AI Referral Engine: Turn Clients into a Predictable Lead Machine</title>
      <description>Referral revenue is the most underused growth channel for busy technology advisors. In this interview Bob breaks down a repeatable, low-effort system called the AI Referral Engine: an automation stack that listens to billing, ticketing, CRM and conversation signals to surface likely advocates, crafts personalized outreach sequences, and hands off warmed referrals to sales-ready workflows. Joined by a guest with hands-on automation experience, Bob walks listeners through real prompts, consent-first scripts, measurable KPIs, and a 30/60/90 day rollout you can start this week. The episode teaches a concrete three-step playbook (identify, activate, convert), solves the problem of inconsistent referral flow, and moves advisors toward immediate action with templates, gating rules to protect client trust, and a checklist for tool selection. Practical, tactical, and tuned for advisors who need growth without hiring.</description>
      <pubDate>Mon, 08 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>60</itunes:episode>
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      <title>Account Revenue Map: AI-Mined Expansion Plays from Your Existing Clients</title>
      <description>Most advisors waste their easiest revenue: existing clients. In this episode Bob and an automation-focused guest walk through a practical, 10-minute-per-account workflow to generate an AI-driven 'Account Revenue Map' — a single-page playbook that identifies contract expirations, vendor fatigue signals, unused services, decision-maker pathways, and three prioritized expansion plays with ROI. We’ll show the data sources to pull (billing, invoices, public tech signals, CRM activity), the prompts and templates to generate personalized outreach, and a simple automation pipeline that turns a map into scheduled touchpoints and measurable outcomes. This episode teaches a repeatable process you can run for your top 20 accounts in a day, solves the problem of invisible expansion opportunities, and moves you to action with ready-made scripts, a rollout checklist, and a conversion metric to track. Visit acquasition.ai/the-tech-advisor-edge to grab the episode assets and templates.</description>
      <pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>61</itunes:episode>
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      <title>Objection Master: Build an AI-Powered Objection-Handling Engine</title>
      <description>This episode teaches technology advisors a compact, actionable system for building an AI-driven objection-handling engine they can deploy in hours, not weeks. Bob and AI expert guest walk through collecting real objections, turning them into data, and using prompt-first recipes to generate tailored rebuttals, follow-up cadences, and live roleplay scripts that train you and your team. You’ll hear a real loss story, watch a live roleplay using AI-generated responses, and leave with a step-by-step checklist: tools to use, what CRM hooks matter, the metrics that prove ROI, and guardrails to avoid sounding robotic. Entertaining, tactical, and built for busy advisors, this episode solves a single, massive revenue leak—weak objection handling—so you convert more opportunities without adding headcount.</description>
      <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
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      <title>The Competitive Positioner: Build AI-Powered Vendor Battlecards That Win Deals</title>
      <description>Bob sits down with AI strategist Alex Ramariz to teach advisors a practical, repeatable system for turning public signals, product specs, and your advisory strengths into a one-page Vendor-Specific Competitive Positioner (aka battlecard). This episode is all hands-on: we define the must-have sections that actually move deals, demonstrate a live UCaaS example, and share the exact prompts and checklist you can use the same afternoon. You’ll learn how to surface defensible comparisons without speculation, craft objection-ready messaging, and automate distribution so every rep and SDR speaks from the same playbook. The result: fewer price fights, faster decisions, and a clear advantage against vendors who go direct — no marketing budget or developer required. Actionable, tactical, and built for advisors who need tangible outcomes this week.</description>
      <pubDate>Thu, 11 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>63</itunes:episode>
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    <item>
      <title>Win-Loss Forensics: Use AI to Decode Why You Lose Deals and Fix Your Sales Process</title>
      <description>Most technology advisors treat lost deals as one-offs or bad luck. This episode flips that mindset: every lost opportunity is a data point you can mine for repeatable improvements. Bob interviews AI automation expert Alex Ramariz to walk through a lean, repeatable win-loss forensics workflow an advisor can run in under an hour. Youll learn what data to pull from your CRM and call recordings, how to feed it into an AI model safely, how to read the root-cause signals (pricing, timeline, stakeholder mismatch, demo gaps), and three prioritized fixes you can deploy immediately. The goal is practical: teach something real, solve a problem you face (why deals slip away), and give one concrete action to move your pipeline forward. No heavy engineering, no consultants—just templates, prompts, and a repeatable playbook every advisor can use this week.</description>
      <pubDate>Fri, 12 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>64</itunes:episode>
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    <item>
      <title>The Pricing Playbook: Use AI to Build Tiered Packages That Boost Margins (Without Losing Deals)</title>
      <description>Pricing is the single lever most technology advisors ignore — and it’s quietly costing them thousands every month. In this episode Bob interviews Mark Rivera to walk through a practical, repeatable pricing playbook: an AI-assisted process that analyzes your costs, competitor positioning, and customer value signals to generate tiered service packages, anchor pricing, and buyer-focused messaging you can deploy in a two-week pilot. You’ll get a step-by-step workflow (data inputs, prompts, and CRM mappings), negotiation scripts generated by AI, a real client example converted from low-margin to recurring-value tiers, and a rollout checklist that fits a solo advisor or small MSP. This episode teaches a tangible method, solves a revenue leakage problem, and gives listeners an immediate three-step pilot they can run this week.</description>
      <pubDate>Sun, 14 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>65</itunes:episode>
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    <item>
      <title>CRM CPR: An AI-Driven 30-Day Rescue Plan for Dying Pipelines</title>
      <description>Most technology advisors sit on a partially-dead CRM that looks active but never produces predictable revenue. In this interview episode Bob Bevilacqua and AI automation expert Alex Ramariz dissect a repeatable, non-technical process to diagnose ‘CRM rot,’ triage high-value opportunities, and deploy three fast AI-driven automations that re-engage prospects and book meetings inside 30 days. You’ll get a live walkthrough of the exact signals to scan, the simple prompts and templates to generate personalized outreach, and a prioritized 30-day playbook that fits a solo advisor or small MSP team. This episode teaches a real audit method, solves the common problem of leads falling through the cracks, and gives listeners step-by-step actions they can implement immediately without hiring or rebuilding systems — all in a compact, actionable interview format.</description>
      <pubDate>Mon, 15 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>66</itunes:episode>
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      <title>The AI Discovery Call Engine: Automate Qualification Without Losing the Human Touch</title>
      <description>Bob Bevilacqua sits down with Anna Lee to teach a practical, step-by-step system for turning discovery calls from time sinks into a revenue engine. This episode walks through an attainable AI-powered workflow that captures prospect signals, runs a rapid qualification script, scores fit, and either books the meeting or triggers a tailored follow-up — all while preserving human warmth. Listeners get exact prompts, a simple scoring rubric, handoff rules for live advisors, and a one-week implementation checklist that doesn’t require engineering resources. Designed for solo advisors and small teams, the episode focuses on measurable outcomes: spend less time chasing bad fits, increase show rates, and free capacity to close. Entertaining examples, role-play snippets, and real guardrails ensure the system scales without alienating prospects. Ready to deploy: leave with a repeatable discovery engine you can start testing this week and a clear path to iterate.</description>
      <pubDate>Tue, 16 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:duration>00:09:02</itunes:duration>
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      <itunes:episode>67</itunes:episode>
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      <title>Zero-Prep Demo: How AI Lets You Build Prospect-Specific Sales Demos in Minutes</title>
      <description>Most demos take hours to prepare and still miss the mark. In this entertaining, ultra-practical 10-minute interview Bob Bevilacqua and guest Mark Rivera unpack a repeatable AI workflow that creates prospect-specific sales demos in minutes — no heavy scripting, no design skills, no waiting on product teams. You’ll learn exactly what prospect signals to pull from your CRM and LinkedIn, how to convert those signals into concise demo assets (custom slides, tailored talking points, configuration highlights, and pricing ranges), and the storytelling sequence that turns curiosity into meetings and meetings into proposals. This episode teaches a real, implementable process, solves the common 'too busy to demo' problem, and moves you one step closer to action with a three-item checklist you can run this week. Designed for advisors who need speed, relevance, and repeatability without hiring more staff.</description>
      <pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>68</itunes:episode>
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    <item>
      <title>The AI-Powered Proposal Factory: Build Personalized Proposals That Close in Minutes</title>
      <description>When a generic, vendor-sourced proposal sits in a prospect's inbox it dies — when a short, client-specific proposal lands fast it starts conversations. In this episode Bob and AI automation expert Alex Ramariz reveal the 'Proposal Factory'—a repeatable, low-cost AI workflow that turns intake signals into vendor-agnostic, buyer-focused proposals and SOWs in minutes. We teach the exact five-step process (signal capture, persona map, solution framing, pricing matrix, SOW + exec summary), demo a micro-run, and give a one-week implementation checklist so solo advisors and small firms can ship personalized proposals without hiring a copywriter. Expect concrete tool recommendations, guardrails to prevent mistakes, measurable templates you can plug into your CRM, and scripts for the follow-up sequence that actually books meetings. By episode end you'll have a clear, low-risk way to shorten sales cycles, protect margins, and turn more opportunities into closed deals.</description>
      <pubDate>Thu, 18 Jun 2026 00:00:00 GMT</pubDate>
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      <title>The AI Client Concierge: Automating Onboarding to Reduce Churn and Unlock Expansion</title>
      <description>Onboarding is where most advisory relationships win or quietly die. In this episode Bob interviews an automation expert to deliver a practical playbook for building an &quot;AI Client Concierge&quot; — a lightweight, configurable system that automates welcome flows, technical validation, user training, billing handoffs, and proactive expansion nudges. Listeners will get real examples of prompts, the minimal tech stack that actually works for small advisory firms, and a 30/60/90 implementation plan that converts onboarding into a predictable retention and upsell machine. This episode teaches one concrete workflow you can implement in a weekend, solves the problem of lost revenue from poor onboarding, and leaves advisors with copy/paste scripts, metric targets, and low-cost tools to get started immediately.</description>
      <pubDate>Fri, 19 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:duration>00:08:39</itunes:duration>
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      <itunes:episode>70</itunes:episode>
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      <title>AI Prospect Thermometer: Spot &amp; Prioritize Buying Signals That Turn Into Meetings</title>
      <description>This episode teaches technology advisors how to build an 'AI Prospect Thermometer' — a lightweight, practical system that turns public signals (LinkedIn job posts, hiring, funding, domain changes, security incidents, product launches, phone system job listings, carrier outages, procurement notices) into a ranked, actionable list of warm prospects. Bob and guest Alex Ramariz walk through a step-by-step playbook you can implement in a day using off-the-shelf tools: signal sources, simple scoring rules, cheap automation to enrich contacts, and outreach sequences that prioritize speed-to-lead. You’ll hear a short case study of a small advisor who booked three meetings in two weeks, plus the exact prompts, filters, and webhook flows to avoid noise and false positives. By the end of the show you’ll have a concrete, repeatable play you can deploy without a data science team — and a clear next action to start capturing intent today.</description>
      <pubDate>Sat, 20 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>71</itunes:episode>
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      <title>The One-Click Technical Audit: Turn AI Reports Into Meetings</title>
      <description>Most technology advisors struggle to get prospects to commit to a first meeting. This episode teaches a practical, repeatable system: the One-Click Technical Audit. Bob and an AI automation expert walk through which three audit types consistently open doors (cost optimization, security gaps, UCaaS readiness), exactly what minimal data to request, and the AI prompt templates that produce executive summaries prospects actually read. We break down a lean tech stack and automation flow that delivers branded, client-ready reports in minutes, plus the outreach and follow-up scripts that convert reports into scheduled discovery calls. Listeners get a step-by-step checklist, a copyable email/LinkedIn sequence, and pricing guidance that fits solo advisors and small teams. If you need a differentiated lead magnet that builds trust, surfaces expansion opportunities, and scales without hiring, this episode gives the blueprint to start today.</description>
      <pubDate>Sun, 21 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:duration>00:08:36</itunes:duration>
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      <itunes:episode>72</itunes:episode>
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      <title>The AI Referral Engine: Turn Existing Clients Into Predictable Revenue</title>
      <description>Referrals are the highest-quality leads advisors already own — but most have no reliable system to harvest them. In this episode Bob interviews Alex Ramariz and Maria Lopez to deliver a practical, vendor-agnostic playbook for launching an AI-powered referral engine in days, not months. We cover how to surface ideal referral candidates from your CRM using simple signals, use generative AI to craft ultra-personalized referral asks that don't feel robotic, automate a respectful multi-touch outreach sequence (email, SMS, conversational receptionist), and measure referral velocity so you can scale. Listeners leave with a five-step implementation checklist, ready-to-use message templates, KPIs to watch, and low-cost tooling options that work for solo advisors and small teams. This episode teaches something real, solves inconsistent referral volume, and gets you one action closer to predictable, client-driven growth.</description>
      <pubDate>Mon, 22 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>73</itunes:episode>
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      <title>The Client Re-Engagement Sprint: Using AI to Wake Up Dormant Revenue</title>
      <description>Most technology advisors have dozens (if not hundreds) of dormant prospects and quiet clients in their CRM—untapped revenue that feels overwhelming to approach. In this episode Bob Bevilacqua interviews Alex Ramariz to unpack a practical, repeatable ‘Client Re-Engagement Sprint’ that uses AI to find the best reactivation targets, craft human-sounding micro-offers, and automate follow-up across email, LinkedIn and voicemail. You’ll get a clear checklist: how to score and segment dormant records, three low-friction micro-offers that convert without heavy discounting, prompt templates that write personalized outreach, and a simple automation map that books real meetings. Alex and Bob walk through a real MSP case that turned dormant accounts into conversations within 30 days and explain exactly what to measure next. If your pipeline feels thin and your CRM is a graveyard, this episode gives a fast, low-cost play to unlock revenue already inside your database.</description>
      <pubDate>Tue, 23 Jun 2026 00:00:00 GMT</pubDate>
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      <title>The AI Win-Loss Analyzer: Turn Lost Deals Into Your Best Playbook</title>
      <description>Bob Bevilacqua sits down with AI automation expert Alex Ramariz to walk technology advisors through a practical, low-cost system: the AI Win‑Loss Analyzer. This episode teaches you how to pull deal data from your CRM, proposals, emails, and call transcripts; use simple AI techniques to surface the real reasons prospects said yes or no; and convert those findings into prioritized actions—messaging changes, pricing tweaks, objection scripts, and target-account signals. The focus is hands-on: three automation plays you can deploy in a week, the KPIs that matter, and a 90-day test plan to measurably boost conversion. You’ll leave with a clear playbook to stop guessing why deals fail, recover lost revenue, and make your sales process repeatable and smarter. Entertaining, tactical, and built for advisors who want results, not theory.</description>
      <pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>75</itunes:episode>
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      <title>Micro-Vertical AI Playbooks: Build an Industry-Focused Sales Machine in 48 Hours</title>
      <description>On this episode Bob sits down with Alex Ramariz to teach a pragmatic, entertaining workshop: how to design a micro-vertical AI playbook that turns vague prospect lists into tailored outreach, demo scripts, proposals, and automated follow-up — all built in 48 hours. Listeners will get a step-by-step approach to pick a narrow vertical or buyer persona, gather the minimal data sources that matter, craft prompt templates for outreach and discovery, wire simple automations to book meetings, and measure the handful of metrics that prove ROI. This isn’t theory: it’s a repeatable sprint any solo advisor or small team can run without a dev shop. By episode end you’ll know the exact inputs, one-page playbook layout, and first-week actions to move from scattershot outreach to a focused, scalable pipeline. Entertaining, tactical, and built for immediate execution.</description>
      <pubDate>Thu, 25 Jun 2026 00:00:00 GMT</pubDate>
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      <title>Price, Package, Automate: Build AI-Powered Value Packages That Close</title>
      <description>Most technology advisors struggle to package what they sell: vague services, price objections, and endless customization kill momentum. In this episode Bob sits down with Anna Lee to teach a practical, repeatable system for building AI-driven value packages that prospects understand and buy. You’ll get a three-step framework to convert client outcomes into clear packages, a live mini-case showing exactly how to turn a prospect profile into a priced offer in minutes, and the automation blueprint to generate proposals, contracts, and onboarding flows without manual work. This episode solves the ‘no clear value proposition’ problem, shows how to stop negotiating on price, and moves you to action with a 7-day launch playbook you can run this week. Entertaining, tactical, and built for busy advisors who need results — not theory.</description>
      <pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate>
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      <title>The Hidden Account Playbook: Build an AI-Powered Expansion Map to Unlock Client Revenue</title>
      <description>Too many advisors treat current clients as a static ledger instead of a growth engine. In this episode Bob interviews Maria Lopez and Anna Lee to teach a repeatable, low-lift framework — the AI Expansion Map — that locates expansion pockets inside your installed base, prioritizes targets, and launches personalized, automated outreach that converts. You’ll hear a clear 5-step process: inventory signals (billing, tickets, product gaps), create persona-based opportunity profiles, score expansion likelihood, generate hyper-relevant outreach and meeting scripts with AI, and run small pilots to measure lift. We’ll cover required data sources, simple automations that plug into CRMs and ticketing systems, real examples MSPs can copy, and the exact guardrails to avoid annoying clients. By episode end you’ll have a tactical plan to start uncovering hidden revenue in days, not months, and a checklist to run a risk-controlled pilot that actually books qualified discovery meetings.</description>
      <pubDate>Sat, 27 Jun 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>78</itunes:episode>
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      <title>Zero-Prep Demo Machine: Build AI-Generated Sales Demos That Book Meetings</title>
      <description>Bob interviews an AI &amp; automation expert to teach a practical, low-risk playbook for building a Zero-Prep Demo Machine—an AI workflow that creates tailored, compelling sales demos in minutes so advisors never miss a live-opportunity. This episode delivers a clear 3-step framework: rapid context capture from signals or CRM, AI-generated demo scripts and visuals that stay vendor-safe, and a delivery + follow-up checklist that converts demos into meetings and pipeline. Guests share specific tools, exact prompt patterns, a short case study showing measurable meeting lift, and a 7-day sprint advisors can run without code or extra hires. Listeners leave with metrics to track (demo-to-meeting, meeting-to-close), a sample prompt template, and an actionable checklist to implement this week.</description>
      <pubDate>Sun, 28 Jun 2026 00:00:00 GMT</pubDate>
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      <title>The Competitive Displacement Playbook: Use AI to Win Accounts From Incumbents</title>
      <description>Most advisors hunt for new logos while ignoring the low-hanging fruit: customers locked into suboptimal vendors who are primed to switch. In this episode Bob interviews AI automation expert Alex Ramariz to teach a practical, repeatable 'Competitive Displacement Playbook'—a three-step system that uses publicly available signals, lightweight audits, and AI-personalized outreach to displace incumbents and book high-value meetings. You’ll get exactly what to look for in a target account, templates for AI-generated value-first messages that open doors, and an operational checklist to run the campaign in under two weeks. This is tactical, not theoretical: real scripts, decision rules, and measurable KPIs an advisor can implement in a weekend with existing tools. If you want faster pipeline growth without hiring, this episode hands you a playbook to do exactly that.</description>
      <pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate>
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      <title>Talk-to-Action: Turn Every Call Into a Sales Engine with Call Intelligence</title>
      <description>Real revenue hides inside conversations — if you know how to capture and act on it. In this fast, tactical interview Bob Bevilacqua and Alex Ramariz break down a practical Call Intelligence playbook tech advisors can implement in a weekend: capture call audio, transcribe and tag buying signals, auto-score opportunities, and trigger personalized follow-up sequences and one-click proposals. You’ll get specific prompts to use on discovery calls, the minimal tech stack that actually works for small advisory firms, and a 3-step rollout that protects client privacy while delivering measurable pipeline lift. This episode teaches a replicable system, solves the problem of missed buying signals and inconsistent follow-up, and leaves listeners with a one-week sprint to start turning routine calls into predictable revenue.</description>
      <pubDate>Tue, 30 Jun 2026 00:00:00 GMT</pubDate>
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      <title>The 10-Minute RFP &amp; Proposal Sprint: Use AI to Win Bids Fast</title>
      <description>RFPs and proposal requests are a massive, underexploited revenue channel for technology advisors — but they’re slow, tedious, and often lose to faster, more focused bidders. In this episode Bob interviews Alex Ramariz to reveal a practical, repeatable 10-minute RFP &amp; Proposal Sprint that any solo advisor or small MSP team can run. You’ll get a step-by-step blueprint: how to ingest an RFP, extract requirements and buying signals with prompt patterns, auto-generate a tailored executive summary and scope, pull in pre-vetted pricing blocks, and assemble a polished response ready for human review. This episode teaches real prompts, the lightweight toolchain that keeps you compliant, and deployment tips so you’re not trading speed for margin. By episode end you’ll have an actionable sprint you can run after lunch and start converting dormant procurement processes into closed deals.</description>
      <pubDate>Wed, 01 Jul 2026 00:00:00 GMT</pubDate>
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      <title>Territory 2.0 — Build an AI Competitive Brief That Wins Accounts</title>
      <description>The Tech Advisor Edge takes a tactical turn: this episode teaches technology advisors how to build an AI-powered Competitive Brief - a concise, evidence-backed dossier that reveals where incumbents are weakest, what buyers actually value, and precisely which accounts are primed for outreach. Bob and AI strategist Alex Ramariz walk through a repeatable workflow: harvest public signals, enrich with CRM/client data, generate messaging hooks, and create a 60-minute playbook for outreach plus a 30-day cadence. Listeners will learn exact prompts, practical data sources, and a lightweight scoring model to prioritize targets so you can stop guessing and start winning. No-code steps mean you can produce your first brief today and run three focused outreach moves this week. By episode end you'll have a clear template to out-position incumbents, reduce wasted outreach, and convert at higher margins without hiring a bigger team.</description>
      <pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate>
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      <title>AI Co-Sell Playbook: Turn Partners Into Predictable Deal Sources</title>
      <description>Many technology advisors leave partner relationships as passive referral hopes instead of active revenue engines. In this interview Bob Bevilacqua and AI automation expert Alex Ramariz walk listeners through a practical, step-by-step co-sell playbook that uses AI to surface partner-fit opportunities inside your CRM, auto-score deals for joint outreach, and orchestrate compliant co-marketing and co-selling sequences that close faster. This episode teaches a clear framework—discover, qualify, orchestrate, co-engage, measure—plus a compact toolstack and legal/commission patterns advisors can adopt without a large ops team. You will get real-world tactics you can trial in 72 hours, a checklist for partner-ready accounts, and a reproducible template for revenue-sharing conversations. The goal: stop hoping for partner leads and start running a predictable, automated co-sell machine that scales without hiring a sales army.</description>
      <pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate>
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      <title>Migration Money: An AI Playbook to Find &amp; Sell Carrier Contract Migrations</title>
      <description>Most technology advisors sit on low-hanging fruit: clients and prospects locked into expensive or underperforming telecom and cloud contracts. This episode teaches a repeatable, low-effort system advisors can implement this week to identify high-value migration opportunities and convert them into recurring revenue. Bob interviews Alex Ramariz (AI automation &amp; UCaaS strategy) to unpack a practical three-part workflow: (1) using simple AI prompts to extract key terms and hidden costs from contracts, (2) scoring accounts by migration ROI and churn risk, and (3) launching an automated, hyper-personalized outreach plus client conversation script that converts. You’ll get concrete tool choices, a checklist for what to pull from contracts, an objection-handling script for price/transition fears, and a starter outreach sequence you can deploy with your CRM and an AI writing engine — all designed to be achievable without a large team.</description>
      <pubDate>Sat, 04 Jul 2026 00:00:00 GMT</pubDate>
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      <title>The Winback Engine: Reclaim Lost Deals with an AI-Powered Recovery Campaign</title>
      <description>Most advisors sit on a goldmine of dead leads and cold proposals — opportunities that went quiet but still have value. In this episode Bob interviews Alex Ramariz to teach a practical, low-friction AI Winback Engine designed for technology advisors, MSPs, and telecom agents. You’ll get a clear 3-step framework: identify and score dormant opportunities, craft consulting-first reengagement sequences, and automate human-safe escalation rules. Alex walks through the exact data sources, scoring signals, personalization prompts, and follow-up cadences that generate meetings without sounding robotic. Listeners will leave with a ready-to-run 3-email/2-touch campaign template, a recommended lightweight tool stack, and measurement metrics to prove ROI. This episode teaches something real, solves the persistent problem of lost deals, and moves advisors one concrete step toward automated revenue recapture.</description>
      <pubDate>Sun, 05 Jul 2026 00:00:00 GMT</pubDate>
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      <title>Referral Engine: Build an AI System That Turns Clients Into Predictable Referrers</title>
      <description>Most advisors treat referrals like luck. This episode reframes referrals as a repeatable system you can automate with AI. Bob interviews Alex Ramariz to strip referral programs down to three practical layers: intelligence (who to ask and when), automation (how to ask at scale without sounding robotic), and conversion (how to turn introductions into booked meetings). You’ll get concrete scripts, event triggers, data sources to use from your CRM or ticketing system, privacy-safe consent patterns, and a sample 6-touch cadence that nudges clients to introduce peers. The goal: a predictable referral pipeline that scales the business without more cold outreach or hiring. By the end you’ll know the exact components to build, one weekend playbook to launch, and the metrics that matter to prove ROI. Visit AcquasitionAI.com to access the episode resources and ready-to-use templates.</description>
      <pubDate>Mon, 06 Jul 2026 00:00:00 GMT</pubDate>
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      <title>AI Role-Play Lab: Train Your Sales Brain with Simulated Buyers</title>
      <description>Stop hoping practice happens in the field. This episode teaches technology advisors how to build an AI Role-Play Lab that simulates real buyer personas, objections, and discovery calls so you can rehearse winning responses, refine demo scripts, and measure improvement — all without bothering a colleague. Bob interviews Anna Lee to walk through a step-by-step, low-cost setup using LLMs, conversation engines, and CRM hooks that runs in minutes. You’ll get concrete prompts, five buyer personas to test, metrics to track (response time, objection resolution rate, next-step conversion), and a 10-minute daily routine that produces measurable skill gains. By the end you'll be able to run focused practice sessions, generate better follow-up sequences, and drop weeks off your sales cycle with predictable improvement. Bonus: where to get copy-ready prompt templates and a downloadable role-play checklist — visit the show site to grab them.</description>
      <pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate>
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      <title>Generated Episode Idea</title>
      <description>{&quot;title&quot;:&quot;The 80/20 AI Audit: Automate the 20% That Drives 80% Growth&quot;,&quot;one_liner&quot;:&quot;A practical interview that teaches advisors how to find the handful of tasks where AI automation unlocks disproportionate revenue and time — and how to implement them in days, not months.&quot;,&quot;description&quot;:&quot;Stop chasing every new tool and start automating what actually moves the needle. In this interview Bob Bevilacqua and AI automation expert Alex Ramariz walk through an 80/20 AI Audit designed for Technology Advisors, MSPs, and Telecom agents: a compact, repeatable process for identifying the 20% of activities that produce 80% of revenue, then automating them with low-risk AI workflows. You’ll get a live walkthrough of a typical advisor workflow (lead intake to follow-up to upsell), a prioritized checklist of automation targets, tool pairings you can deploy in hours, and a 7-day action plan to show measurable results. This episode teaches something real, solves the time-starved growth problem, and gives listeners a clear next step to implement immediately — no heavy engineering required.&quot;,&quot;why_now&quot;:&quot;Advisors have long needed leverage; AI is simply the practical toolset that makes leverage repeatable and affordable. Focusing on the highest-impact tasks ensures sustainable growth without chasing hype.&quot;,&quot;target_audience&quot;:&quot;Technology Advisors, IT Providers, Telecom Agents, channel partners and small-to-midsize advisory firms who need repeatable lead generation, follow-up, and scalable sales operations.&quot;,&quot;episode_type&quot;:&quot;interview&quot;,&quot;estimated_runtime_s&quot;:600,&quot;outline&quot;:[&quot;00:00-00:45 — Hook &amp; Promise: Bob opens with the core problem—time-starved advisors—and teases the 80/20 Audit outcome listeners will walk away with.&quot;,&quot;00:45-01:30 — Guest Intro &amp; Credibility: Quick intro of Alex Ramariz, his automation wins for advisors, and the episode’s measurable goal.&quot;,&quot;01:30-03:00 — The 80/20 Audit Framework: Define the audit, explain how to map activities, score impact vs effort, and pick the 20% to automate first.&quot;,&quot;03:00-05:00 — Live Workflow Walkthrough: Alex and Bob map a typical advisor day (lead intake → discovery → follow-up → proposal → onboarding) and identify three high-impact automation targets.&quot;,&quot;05:00-07:00 — Tactical Tool Stack &amp; Playbook: Concrete AI tool pairings, templates, and a prioritized checklist you can deploy in hours (lead scoring, automated follow-up, AI receptionist triggers).&quot;,&quot;07:00-08:30 — Risks &amp; Pitfalls: Common mistakes when automating (over-automation, data gaps, slow lead response) and how to avoid them in practice.&quot;,&quot;08:30-09:30 — 7-Day Implementation Sprint: A step-by-step action plan with milestones, quick wins to measure, and how to validate ROI fast.&quot;,&quot;09:30-10:00 — Recap, CTA &amp; Outro: Restate the one thing to automate first, invite listeners to visit_site for a downloadable 80/20 Audit template and checklist, and close.&quot;,&quot;tags&quot;:[&quot;AI automation&quot;,&quot;lead generation&quot;,&quot;advisor growth&quot;],&quot;duplication_check&quot;:{&quot;nearest_match_title&quot;:&quot;Talk-to-Action: Turn Every Call Into a Sales Engine with Call Intelligence&quot;,&quot;similarity_score&quot;:0.42,&quot;decision&quot;:&quot;distinct&quot;},&quot;risks&quot;:[&quot;Choosing low-impact tasks to automate and wasting time&quot;,&quot;Data quality gaps breaking automated workflows&quot;,&quot;Over-automating and destroying personal touch with high-value prospects&quot;],&quot;mitigations&quot;:[&quot;Use the impact vs effort scoring to prioritize only high-revenue tasks and run a 7-day pilot before scaling&quot;,&quot;Perform a quick data audit and add simple validation steps (e.g., sanity checks, fallback routing) before automation goes live&quot;,&quot;Reserve manual touchpoints for high-value accounts and configure AI to flag warm prospects for human follow-up&quot;]}</description>
      <pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate>
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      <title>Client Expansion Audit: Use AI to Mine Your Existing Book for Hidden Revenue</title>
      <description>Most advisors chase new logos while leaving predictable revenue on the table. In this interview-driven episode Bob sits down with Maria Lopez and Anna Lee to teach a repeatable, low-effort process: the AI Client Expansion Audit. You’ll learn the 4-step framework to extract buying signals from billing, ticketing, and CRM data; the specific AI prompts and tools that automate scoring and outreach; and a practical 7-day sprint to convert the first 5 opportunities. This episode solves a real problem — stagnant accounts and missed upsell revenue — with actionable tasks you can complete without hiring a team. By the end you’ll have templates, an audit checklist, and a risk-aware rollout plan that preserves relationships while unlocking predictable expansion revenue.</description>
      <pubDate>Thu, 09 Jul 2026 00:00:00 GMT</pubDate>
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      <title>The First-90 AI Playbook: Automate Onboarding into Revenue</title>
      <description>On this episode Bob Bevilacqua interviews Maria Lopez to reveal the First-90 AI Playbook — a practical, deployable system that turns a new client's first three months into a predictable retention and revenue engine. We walk through a seven-step playbook you can implement with off-the-shelf AI: automated welcome sequences that set expectations, an AI receptionist to run kickoffs, automatic SOP generation from discovery calls, scheduled health-check nudges, automated upsell scoring, and a post-90 expansion play. Maria shares an MSP case that cut onboarding time in half, prevented early churn, and surfaced immediate expansion opportunities. You’ll leave with exact templates, a 10-minute automation sprint you can run this week, and KPIs to measure success. This episode teaches something real, solves the onboarding-to-revenue problem, and gives one clear action you can test before Monday.</description>
      <pubDate>Fri, 10 Jul 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>91</itunes:episode>
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      <title>Zero-Prep Demo Kit: Build a Personalized AI Sales Demo in 5 Minutes</title>
      <description>Most advisors lose deals before the demo starts because prospects don’t see immediate relevance. In this fast-paced interview Bob and Alex Ramariz break down a repeatable, 5-minute workflow that turns a few public signals (LinkedIn headline, company pain points, product usage hints) into a live, personalized demo a prospect remembers. You’ll get a clear tool stack (lightweight LLM templates, screen-scrape inputs, CRM snippets), exact prompts to generate demo scripts, a zero-prep slide and script generator, and an objection-handling layer that runs live during your demo. This episode teaches a concrete process you can test today, fixes the most common demo time-suck, and ends with a one-week challenge that moves listeners to action. Visit AcquasitionAI.com/edge to grab the demo prompt pack and deploy the Zero-Prep Demo Kit in your sales process.</description>
      <pubDate>Sat, 11 Jul 2026 00:00:00 GMT</pubDate>
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      <title>The 90-Second AI Intake Engine: Turn Every Lead Into a Qualified Meeting</title>
      <description>Bob sits down with AI automation expert Alex Ramariz to reveal a practical, step-by-step playbook technology advisors can deploy in a weekend to stop losing leads to slow follow-up. This episode teaches a repeatable system — the 90-Second AI Intake Engine — that captures inbound calls, web forms and emails, runs a short conversational qualification, scores opportunity fit, and either books the meeting or routes the lead to the right human. You’ll get the exact architecture (AI receptionist + micro-survey + CRM triggers + calendar automation), sample conversation scripts, guardrails to prevent false positives, and the KPIs that prove the system is paying for itself. The conversation is tactical, entertaining and aimed at solo advisors and small teams who need faster speed-to-lead and predictable pipeline without ballooning headcount. Walk away with a weekend deployment checklist and the first three automations to implement Monday morning.</description>
      <pubDate>Sun, 12 Jul 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>93</itunes:episode>
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      <title>The AI Proposal &amp; Pricing Engine: Sell Clearer, Close Faster</title>
      <description>Most technology advisors lose deals during the proposal phase: confusing bundles, slow turnaround, and unclear ROI kill momentum. In this episode Bob interviews AI automation expert Alex Ramariz to teach a practical, vendor-agnostic system you can implement this week: an AI Proposal &amp; Pricing Engine that ingests vendor catalogs, client context, and margin rules to auto-generate crisp proposals, TCO comparisons, and upsell paths. We walk through data inputs, pricing guardrails, customizable templates, and CRM automation so you can shorten sales cycles, reduce manual quoting errors, and present offers that buyers actually understand. You’ll get a clear 7-day sprint checklist, objection scripts for common pricing pushback, and measurable KPIs to watch. By the end you’ll be able to produce consistent, profitable proposals that win more deals — and know the exact next steps to start building your engine. Visit our site to grab the starter templates and checklist.</description>
      <pubDate>Mon, 13 Jul 2026 00:00:00 GMT</pubDate>
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      <title>LinkedIn Micro‑Conversation Funnel: Automate Real Conversations That Book Meetings</title>
      <description>Bob and Alex Ramariz walk through a step-by-step blueprint for building an AI-powered LinkedIn micro-conversation funnel that turns cold connections into qualified, booked meetings. This episode teaches a practical system—message fragments, timing, segmentation, and AI prompts—that runs on autopilot while preserving human nuance. Listeners will get a reproducible 7-day sprint: how to harvest targets, craft micro-conversations that warm prospects, escalate to value-first content, and trigger an AI receptionist or calendar link to book a meeting. We’ll cover tool choices, simple prompts for personalization at scale, measurement KPIs, and guardrails to avoid spammy behavior. By the end you’ll have an actionable playbook you can begin testing with a single LinkedIn account and a lightweight automation stack—no heavy agency retainer, no marketing team required.</description>
      <pubDate>Tue, 14 Jul 2026 00:00:00 GMT</pubDate>
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      <title>Revenue Radar: Build an AI Prospect Health Dashboard That Runs Your Pipeline</title>
      <description>Too many advisors sit on gold — underused accounts, at-risk customers, and half-won deals — because their data lives in silos and follow-up is inconsistent. In this episode Bob Bevilacqua interviews Alex Ramariz to walk through a practical, step-by-step approach for building a lightweight AI Prospect Health Dashboard (the “Revenue Radar”) that continuously scores and prioritizes opportunities across CRM records, billing/usage signals, tickets, and conversation logs. Listeners will get concrete signal definitions, a simple weighting model, a recipe for turning scores into automated next-best-action workflows, and a one-week sprint to get a usable dashboard running. This episode teaches a real system you can implement without heavy engineering, solves the problem of scattered signals and lost deals, and moves advisors toward action with templates, trigger examples, and measurable outcomes.</description>
      <pubDate>Wed, 15 Jul 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>96</itunes:episode>
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      <title>The One-Page AI Sales Playbook: Build a Buyer-Specific Sales Script in 20 Minutes</title>
      <description>Tired of generic pitches that blend into the noise? In this fast, actionable interview Bob sits down with Anna Lee to teach technology advisors how to build a one-page AI Sales Playbook that turns scattered research into a repeatable, buyer-specific sales script. You’ll get a step-by-step method for creating a buyer snapshot, a one-line value promise, zero-prep demo bullets, objection-handling lines, and a 3-step automated follow-up sequence — all distilled onto one page you can execute or hand off to automation. The episode focuses on practical prompts, templates, and a 20-minute sprint any solo advisor or small firm can run after the show. By the end you’ll have a clear checklist, measurable outcomes, and a ready-to-deploy playbook that scales personalized outreach without hiring a larger team. Visit the site to grab the template and sprint checklist.</description>
      <pubDate>Thu, 16 Jul 2026 00:00:00 GMT</pubDate>
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      <description>{&quot;title&quot;:&quot;Lost-Deal Goldmine: Use AI to Reanalyze, Reengage, and Reclaim Revenue&quot;,&quot;one_liner&quot;:&quot;How to use AI to mine your lost and stalled deals for repeatable revenue — analyze why you lost, prioritize who to reengage, and launch automated win-back campaigns in a weekend.&quot;,&quot;description&quot;:&quot;Bob Bevilacqua interviews AI automation expert Alex Ramariz for a practical, playbook-style episode that turns cold lost-deal history into predictable revenue. This session teaches a step-by-step process: collect the right CRM, email, proposal and call-transcript signals; use simple AI prompts to surface patterns and loss reasons; score and prioritize high-probability win-backs; and launch segmented re-engagement sequences that sound human and convert. You’ll get concrete prompt templates, a lightweight scoring model, and a one-week sprint plan advisors can run without hiring developers. The episode solves a real problem—wasted historical pipeline—and gives listeners an immediate, low-effort path to reclaim revenue from deals that already showed buying intent. Tool-agnostic and built for solo advisors and small teams, the conversation focuses on action, measurable outcomes, and the exact first tasks to run before the week ends.&quot;,&quot;why_now&quot;:&quot;This is a timeless tactic: every advisor accumulates lost and stalled opportunities. Mining that history with AI is a practical efficiency play any firm can adopt without chasing trends.&quot;,&quot;target_audience&quot;:&quot;Technology Advisors, IT Providers, Telecom Agents, MSPs and small technology firms who need repeatable lead generation and revenue without large teams.&quot;,&quot;episode_type&quot;:&quot;interview&quot;,&quot;estimated_runtime_s&quot;:600,&quot;outline&quot;:[&quot;00:00-00:45 — Hook: Bob opens with the counterintuitive idea that your next quarter’s revenue might already be sitting in lost deals and promises a weekend-ready playbook.&quot;,&quot;00:45-02:00 — Guest Intro &amp; Promise: Quick intro of Alex Ramariz, what he’s built, and a clear promise of what listeners will be able to do after 60 minutes.&quot;,&quot;02:00-04:00 — The Data You Already Have: What to pull from CRM, proposals, email threads, call transcripts and billing to make AI analysis meaningful.&quot;,&quot;04:00-06:00 — AI Analysis Framework: Concrete prompt examples and techniques to extract root causes, competitor mentions, timing signals and buying intent from historical records.&quot;,&quot;06:00-07:30 — Prioritize for Impact: Build a lightweight scoring model to rank lost deals by closability, revenue potential and time-since-loss — how to pick the top 20% that drive 80% of results.&quot;,&quot;07:30-08:45 — Automating the Win-Back: How to convert insights into segmented re-engagement sequences (email, LinkedIn micro-messages, AI-personalized voicemails) and templates that sound human.&quot;,&quot;08:45-09:30 — Live Case Example &amp; Quick Wins: Alex walks through a real example (anonymized) showing before/after results and expected lift for a small firm.&quot;,&quot;09:30-10:00 — Checklist, Risks &amp; CTA: Quick deployment checklist, common pitfalls to avoid, and a direct call to action to visit_site for templates, prompts and the one-week sprint guide; outro.&quot;,&quot;tags&quot;:[&quot;AI&quot;,&quot;win-loss&quot;,&quot;reengagement&quot;,&quot;automation&quot;,&quot;lead-generation&quot;],&quot;duplication_check&quot;:{&quot;nearest_match_title&quot;:&quot;Revenue Radar: Build an AI Prospect Health Dashboard That Runs Your Pipeline&quot;,&quot;similarity_score&quot;:0.62,&quot;decision&quot;:&quot;distinct&quot;},&quot;risks&quot;:[&quot;Poor data quality in CRM and call transcripts leading to misleading AI conclusions.&quot;,&quot;Re-engagement messages that feel spammy and damage relationships.&quot;,&quot;Over-prioritizing low-margin or past-prospect accounts that waste time.&quot;],&quot;mitigations&quot;:[&quot;Start with a small sample (top 50 lost deals) to validate signals before scaling; clean key fields first.&quot;,&quot;Use conservative, personalized outreach sequences and A/B test messaging; include opt-out and easy ways to re-schedule.&quot;,&quot;Include margin and effort filters in the scoring model and set a weekly cap on re-engagement outreach until ROI is proven.&quot;]}</description>
      <pubDate>Fri, 17 Jul 2026 00:00:00 GMT</pubDate>
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      <itunes:episode>98</itunes:episode>
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      <title>AI Winback Accelerator: Reclaim Lost Clients &amp; Dormant Revenue in 30 Days</title>
      <description>Too many advisors treat churned clients and cold opportunities like trash folders — when those records are often the fastest path to predictable revenue. In this episode Bob Bevilacqua interviews Alex Ramariz to unpack a practical, repeatable AI Winback Accelerator you can deploy in 30 days. We walk through how to surface high-value churn signals inside your CRM and billing systems, score and prioritize targets, craft hyper-personalized outreach (email, voicemail, LinkedIn) using AI, and automate a respectful multi-channel re-engagement sequence that hands off the hottest opportunities to a human. You’ll get concrete templates, timing rules, KPIs to watch, and a weekend checklist so even solo advisors can run this sprint without extra hires. This episode teaches a real process, solves the problem of dormant revenue, and ends with a clear, immediate action plan you can start this week.</description>
      <pubDate>Sat, 18 Jul 2026 00:00:00 GMT</pubDate>
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      <title>The Partnership Engine: How AI Turns Vendor Chaos into Predictable Margins</title>
      <description>Most technology advisors bleed margin and time fighting inconsistent vendor contracts, fractured partner portals, and surprise pricing changes. In this episode Bob interviews Alex Ramariz to explain how to build a practical &quot;Partnership Engine&quot; — a lightweight AI workflow that ingests contracts, carrier announcements, and commission data to surface margin risks, flag price changes, and generate partner-specific upsell packages. Listeners will get a clear, step-by-step blueprint: what data to collect, the minimal automations to deploy, simple prompts to turn contract text into sales language, and a fast experiment to capture hidden revenue without hiring more staff. This episode teaches a real playbook, solves the day-to-day problem of vendor overwhelm, and leaves advisors with an immediate 5-step sprint they can run this week to stop revenue leakage and reclaim negotiating power.</description>
      <pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate>
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    <title>The Tech Advisor Edge</title>
    <description>The Tech Advisor Edge is the go-to podcast for Technology Advisors, IT Providers, Telecom Agents, and businesses that sell technology and want to grow. Hosted by Bob Bevilacqua, Founder &amp; CEO of Acquasition AI, each episode delivers real AI strategies, automation insights, and custom outcomes designed to help you sell smarter, scale faster, and outpace the competition.</description>
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    <copyright>2026 All rights reserved.</copyright>
    <pubDate>Sat, 18 Jul 2026 00:12:16 GMT</pubDate>
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