The AI Hat Podcast

Count the tabs it takes to move one renewal. Management system, carrier portal, the other carrier portal, quoting platform, email, Teams, back to the CRM, then a spreadsheet. That is eight, and not one of them is the conversation with the client.

Nobody designed it that way. Nobody approved it. And you are paying your most expensive person to do it.

In this solo episode, Mike Allton makes the case that the most expensive piece of integration software in your agency is a licensed producer, and that the AI you bought last year did not shorten that list. It lengthened it, and the new switches cost more than the old ones, because every one of them makes you rebuild your context out loud.

Then he gives you the fix, in three steps you can run Monday morning without spending a dollar: Count, Name, Seat. Count the switches in one recurring job. Name the one where the most context has to get rebuilt from nothing, which is almost never the one that annoys you. Then give that context a seat to live in, using the three shapes of a Digital Crew: Scout, Scribe, and Coach.

Also in this episode: why memory features do not solve this, the switchboard operator who kept getting better boards instead of a better question, how one benefits manager in Utah stopped being the cable between his carriers, the three rails to set before any client data goes near an AI tool, and the four objections Mike hears in every room.

The wedge is the same as always. Redesign the work before you deploy AI.

Take the AI Adoption Reality Check: https://theaihat.com/reality-check/

Read the companion piece on the Toggle Tax: https://theaihat.com/what-is-the-toggle-tax/

Show notes: https://theaihat.com/how-to-increase-insurance-agent-productivity-without-buying-another-tool/
Connect with Mike: https://www.linkedin.com/in/mikeallton/
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Your best people are losing most of the week to work they were never hired to do - and the fix isn't another tool.

In this solo episode, Mike Allton opens with a confession: there was a stretch of his career when a guest canceling on his own podcast felt like relief. Two of his shows died at exactly twelve episodes each, and between those funerals he changed everything - the tools, the format, the frequency, the topic - except the one variable that killed them both.

That story turns out not to be a podcasting story at all. It's the same reason 95% of enterprise AI pilots fail: companies make a software purchase when the situation calls for a staffing decision. Nobody writes the role. Nobody defines what the AI is responsible for, who it reports to, or how anyone would know it's doing a good job.

So Mike makes the argument he's building his entire business around: AI belongs on your org chart, not your tech stack. Not to replace the people you have - to finally staff the work no one was ever hired to do.

You'll hear:

- Why every business runs on two org charts - the official one, and the real one hiding in your team's calendars

- The job description that took interview prep from two-plus hours to twenty minutes, and took the show past 120 episodes

- The Apollo answer to "this is how the replacement starts"

- Why an off-the-shelf AI employee is still a software purchase wearing a name tag

- A ten-minute homework assignment: find the seat that's been empty the longest

Read the full manifesto at theaihat.com: https://theaihat.com/ai-belongs-on-your-org-chart-not-your-tech-stack/

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If your top reps are stuck training new hires instead of closing deals, this AI sales enablement playbook will help. Enterprise seller Vernon Ross joins Mike Allton to show how to scale your best performers' knowledge without stealing their selling time, and why that "teaching jail" is quietly costing you around $30K a month per rep.

Vernon has carried quota, closed enterprise deals, and built the AI training tools that make other sellers faster. Inside, he shares the one diagnostic question that finds your highest-ROI automation, why AI pilots die the moment they add friction instead of removing it, and how he uses NotebookLM, private podcasts, and voice cloning to cut top-rep onboarding from 30 hours down to 10. He and Mike also get tactical on where AI belongs inside a MEDDPICC deal, how to tie content consumption to real revenue, and the one automation any team can build this quarter without a six-figure budget.

Vernon Ross drove 75 to 85% increases in new client acquisition at a 32% conversion rate, closed deals with Procter & Gamble, GE, and AT&T, and has generated over $500,000 in enterprise SaaS sales. As president of Vernon Ross Consulting and an enterprise podcaster, he now advises Fortune 1000 companies on AI-driven learning.

The hard truth: you cannot clone your top performers. So you stay stuck in an endless loop of manual knowledge transfer while your competitors build AI-powered learning engines that run around the clock. This episode is how you break the loop.

Still letting shadow AI run unmanaged on your sales floor? Download the free Executive Guide to Shadow AI at theaihat.com/shadow-ai.

Chapters:

00:00 Top Rep Pain Points

00:59 Podcast Theme Intro

02:08 Show Mission Setup

03:15 Guest Vernon Ross

05:11 Sales Enablement Gap

07:34 AI Adoption That Sticks

10:58 AI Hosted Training Podcasts

13:46 NotebookLM And Voice Clones

16:28 MEDDPICC With AI

18:52 Onboarding Without Teaching Jail

21:25 Shadow AI Sponsor Break

22:33 Measuring Podcast ROI

28:38 Fast Time To Value

30:37 Compliance And Risk

33:48 First Automation To Build

36:34 Where To Find Vernon

37:18 Final Wrap Up

Resources:

Vernon Ross: linkedin.com/in/vernonross | vernonross.com | enterprisepodcaster.com | aiplanner.com

Mentioned in this episode: Wondercraft.ai, Google NotebookLM, Wispr Flow, ZoomInfo, Apollo, HubSpot, Otter.ai, Claude Code, Gemini, Supporting Cast, MEDDPICC

Connect with Mike Allton: linkedin.com/in/mikeallton | Newsletter theaihat.com/newsletter | Podcast theaihat.com/podcast

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Your revenue team doesn't have a tools problem. It has a process problem.

Dan Knowlton, co-founder of UK-based Knowlton Marketing, joins Mike Allton for an honest, boots-on-the-ground conversation about what's actually working in AI implementation - and what isn't. No polished frameworks. No hype. Just real lessons from an agency owner who is figuring this out in real time while growing a business.

In this episode, Dan shares how his team recently won a pitch with one of Europe's largest health and wellness brands - not because they were the most creative, but because AI caught every objection the prospect raised in the discovery call. Objections that would have been missed with manual notes.

You'll learn how to stop chasing shiny AI tools and start asking the one question that separates useful technology from expensive distraction. Dan also breaks down how to identify which workflows should be handed to AI, where human experience is irreplaceable, and how to run a simple calendar audit that surfaces hours of recoverable time in your team's week.

If your AI pilots keep stalling, this episode will show you why - and where to start instead.

🎁 Download the free Executive Guide to Shadow AI: https://theaihat.com/shadow-ai

CHAPTERS:

00:00 Manual Sales Discovery

01:00 Podcast Theme Intro

02:31 Why AI Pilots Fail

03:46 Shiny Tool Syndrome

05:29 Problem First Approach

06:05 AI-Powered Pitching

07:24 Transcripts Close Deals

10:05 Where AI Shouldn't Pretend

13:59 Humans Plus AI Creativity

16:47 Overcoming Team Pushback

19:42 Shadow AI Governance Ad

20:56 Tool Stack and Evaluation

27:06 Making Time for AI Learning

29:25 Workflow Audit to Start

32:19 Wrap Up and Where to Connect

33:18 Final Outro
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If your revenue team is hitting a ceiling despite adding headcount and new tools, the problem isn't your people - it's your architecture.

In this episode, Mike Allton sits down with Amanda Rubin, SVP of Revenue at Frameplay and former EVP of Growth at Enthusiast Gaming, where she drove four consecutive years of revenue growth. Amanda unpacks what she calls the "architect's mindset" - the long-view, systems-first approach that separates true Revenue Leaders from sales managers who are simply trying to hit this quarter's number.

You'll hear how Amanda built scalable GTM frameworks from the ground up - first with nothing but a color-coded Google Sheet, and now with an AI-powered tech stack that eliminates admin drag and gives sellers back the time they need to actually sell. She breaks down exactly how she structures account lists, ladders sales teams, and deploys tools like We Flow, Fyxer AI, and Apollo to create a revenue engine that scales without breaking.

What you'll walk away with:


Why the difference between a Sales Leader and a Revenue Leader changes everything about how you build your org


How to structure account tiers so no opportunity falls through the cracks


The AI tech stack Amanda is architecting right now at Frameplay - and the honest truth about what it takes to implement it

Connect with Amanda Rubin: LinkedIn

Resources mentioned:


We Flow - AI-powered activity tracking and pipeline intelligence


Fyxer AI - AI email organization and post-meeting draft automation


Apollo - Sales sequencing and outreach automation

Download the free Executive Guide to Shadow AI: theaihat.com/shadow-ai

CHAPTERS:

00:00 Meeting Follow Up Basics

00:23 Podcast Intro Theme

01:32 Welcome and Mission

01:56 Scaling Chaos Problem

02:33 Meet Amanda Rubin

04:05 Sales vs Revenue Leadership

05:53 Revenue Architect Mindset

07:07 GTM Narrative and Positioning

08:01 Designing the Sales Org

10:21 Frameworks That Break

11:14 Account Lists and CRM Discipline

12:44 Tiering and Activity Tracking

13:36 People Roles and Incentives

15:18 Enthusiast Gaming Playbook

17:29 Packaging and Storytelling

19:41 Building Seller Pods

22:07 Diagnosing Capacity Leaks

23:27 Support vs Sales Spend

24:29 AI for Spec Sheets

24:52 Wildfire GPT Brain

25:59 Shadow AI Governance

27:15 Fix Workflows First

27:42 WeFlow Setup and CRM

30:51 Conference Intelligence Dashboards

33:33 Fyxer Inbox and Followups

35:09 Apollo Sequences and Outreach

36:37 Frameplay Pitch and Audience

39:06 WeFlow Activity Warnings

41:25 Fail Fast Tool Decisions

42:56 Story Before Headcount

44:01 Connect on LinkedIn

44:42 Final Shadow AI Reminder
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