Small Business Big AI

Kim opens this episode holding a letter that has not been written yet. It is a claim denial addressed to a small business owner whose AI tool made a promise the business could not keep, citing the generative AI exclusion that quietly landed inside most business insurance policies in the country this January.
Nobody has actually received that letter. But the exclusion is real, and almost nobody who turned on an AI receptionist, a quoting tool, or a two-in-the-morning chat window this year has read it.
Kim and Hal spend the episode answering the question underneath the letter. Not whether to use AI, they settled that a long time ago, but who pays when it is wrong.
Hal takes the buyer's chair. An under-automated business isn't safe, it's just cheap, and an uninsured AI incident is a hole in the balance sheet that shows up the day you try to sell, refinance, or sleep at night. Kim explains why carriers wrote the exclusion in the first place: they can't yet price a mistakethat could repeat across a million businesses on the same afternoon. And she walks through why "the software did it" stopped being a defense the moment a tribunal ruled, in the Air Canada chatbot case, that a company owns what its bot says on its own website.
The fix is smaller than it sounds. Using the reversibility rule from a few episodes back, Kim and Hal draw the line at exactly three doors an AI agent should never open alone: moving money, making a binding promise, and committing the business legally. Everything else, let it run at full speed.
Kim also credits risk advisor Gregory Marholin, Executive Advisor for Strategy and Growth at AI GuardWorks, whose piece for the Big I's Virtual University makes the same case from inside the insurance industry: a vendor list answers whoyou're paying, an AI inventory has to answer where AI is making or influencing a judgment.
And here's the honest part. A specialist AI liability insurance market is forming this year, but it's new, it isn't standardized, and it isn't cheap yet. The move isn't to freeze. It's to know your exclusion, list your exposure, and gate the three doors that matter. "That's how you build a technology-enabledsuperpower," as Kim puts it: not that the tool is smart, but that you're covered, gated, and deployed anyway.
In this episode:
●      The fictional denial letter, and the real endorsement behind it
●      Why carriers excluded generative AI from standard business policies starting in January 2026
●      The Air Canada chatbot ruling, and why "that's the vendor's problem" stopped working as a defense
●      Why freezing your AI rollout doesn't protect your business, it marks it down
●      The reversibility rule: the three doors that always need a human hand
●     Gregory Marholin's "vendor list versus AI inventory" framing, from his piece for the Big I Virtual University
●      The specialist AI liability insurance market taking shape in 2026, and why it doesn't replace knowing your existing exclusion
●      The three-step agent liability audit you can run before lunch
Ready to take action:
Website and IMPACT: smallbusinessbigai.com
The IMPACT Framework: smallbusinessbigai.com/impact
Kim Lewis Howard on LinkedIn (send your story here)
Hal Howard on LinkedIn
Gregory Marholin's article, Big I Virtual University
Insurance assessment, commercial or personal lines: asklewishoward.com

It's the exact two-year anniversary of Small Business Big AI, and Kim and Hal are finally answering a promise from a year ago.
In Episode 96, they told you that you were renting your business: your CRM, your scheduling tool, your website, all of it built for an imaginary average company, none of it actually yours. This week, they hand you the blueprint to buy it back.
Kim is building Lewis Howard Insurance Group's own proprietary CRM live, in real time, using nothing but Supabase, GitHub, and a coding agent that takes her plain English business logic and turns it into working software. No developer on staff. No template built for somebody else's agency.
Hal puts himself on the spot with his own decade-old operational wish (a tool that finds him, instead of another dashboard he has to remember to check), and Kim walks through exactly what a coding agent would ask before it builds it.
Midway through, Kim introduces the IMPACT Framework, the six-step process behind every build decision on this project:
Identify: state the real goal before you type a word

Mode: define the role you want AI to play

Parameters: set the rules, tone, and constraints

Activate: give it the context and examples it needs

Check: verify the work before you trust it

Transform: turn the result into the exact format your business needs

Full framework at smallbusinessbigai.com/impact.
And Kim is honest about the part nobody wants to hear: this isn't free, and it isn't instant. You still own the decisions, the data model, and the ongoing maintenance. The pitch was never that this is easy. The pitch is that it's finally yours.
Got a piece of software you've wanted for years and never had? Send Kim and Hal your wish on LinkedIn. They might build it live on an upcoming episode.

Q: What does “renting your business” mean on Small Business Big AI?
A: Paying ongoing subscription fees for CRM, scheduling, or website tools you don't own or control, built to a generic template rather than your specific business logic.
Q: What is a coding agent, according to Kim Howard?
A: An AI tool that asks clarifying questions in plain English about your business problem, then builds custom software for it, without requiring the operator to know how to code.
Q: What three pieces make up Kim's proprietary CRM build?
A: Supabase for the data, GitHub for the version history, and a coding agent as the builder that turns plain English business logic into working software.
Q: What is the IMPACT Framework?
A: Kim and Hal's six-step process for directing AI: Identify, Mode, Parameters, Activate, Check, and Transform. Full breakdown at smallbusinessbigai.com/impact.
Q: Why does AI output turn into slop, according to the show?
A: Usually one of two missing steps: nobody stated the actual goal (Identify), or nobody verified the output before using it (Check).
Q: Does building your own business software mean it's free or easy?
A: No. Kim is explicit that you still own the decisions, the data model, and ongoing maintenance. The benefit is ownership, not ease.

A friend spent four months and real money putting AI into her business. Good tools, the expensive ones. Last Tuesday she called to say it was confidently wrong about everything and she was about to rip the whole thing out.
So I asked her one question. When your AI says this customer, where does it look?
Long pause.
That is the whole problem, and it has nothing to do with the model she picked. Your AI is not failing because it is not smart enough. It is failing because you handed a brilliant new hire a filing cabinet full of sticky notes and asked it to run your business.
This is a build episode. No guest, no theory. I give away the eleven fields that make a business legible to a machine, all of them, on the air, with nothing to sign up for. I also tell the story of the day I found out that I did not have a book of business. I had a book of business in my head.
And I say the part that is harder to say: the people who are worst at this are usually your best people, and telling them to be more organized is the wrong move.
The Eleven Fields
1. Identity. Who they are, plus one identifier that never changes. Not their name. A record number.
2. Reach. How to contact them, and specifically which channel they actually answer.
3. Permission. What you are allowed to send them, on which channel, and when they told you that.
4. Source. How they found you. Not a guess.
5. Need. What they actually want, in their words, not in your product names.
6. Owner. One human being's name. Not a team.
7. Last. What actually happened the last time, and the date. A sentence, not a status.
8. Next. The next action, and the date it is due.
9. Timing. The one date when this person is actually buyable. A policy expiration, a contract end, a lease, a budget cycle.
10. Value. What they are worth, or what you expect them to be worth.
11. Proof. Where the documents live. Attached to the record, not in somebody's email.
The rule that goes with them, and it is harder than the list: every interaction resolves back to a record. If it happened and it is not attached to a record, it did not happen, because in six months there will be no difference between the two.
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Q: What customer data does a small business need to capture for AI to be useful?A: Eleven fields, held in one canonical record that every person and every tool reads from. Identity, meaning who they are plus a permanent identifier that is not their name. Reach, the channel they actually answer rather than the threenumbers you have. Permission, what you may send them, where, and when they said so. Source, how they found you, not a guess. Need, what they want in their words rather than your product names. Owner, one human being rather than ateam. Last, what actually happened last time as a sentence and a date, not a status. Next, the next action and its due date. Timing, the one date when this person is genuinely buyable, such as a policy expiration, contract end, lease or budget cycle. Value, what they are worth or expected to be worth. Proof, where the documents actually live. One rule goes with the eleven and matters more than any of them: every interaction resolves back to a record, because in six months there is no difference between something that was not written down and something that did not happen.
Ready to Take Action?
Website and IMPACT:https://smallbusinessbigai.com/
MUSIC & SOUND CREDITS
Music: "I Am with You" by Dream Cave; Epidemic Sound via iStock.com
License ID: d483d505-8bd8-4b73-988f-298
Sound Effects: https://pixabay.com/sound-effects/

Kim wrote a press release announcing the sale of Lewis Howard Insurance Group for eighteen times earnings. It has not happened. She wrote it because until you write it, somebody else writes it for you, and when they write it, they pick the number.
Then Hal read his. One sentence, and it says something else entirely: the agency has acquired its eleventh location. Hers has a multiple in it. His has a count. Neither of them heard the difference until it was read out loud.
This one is a Coffee Table Conversation with no tidy ending, because they have not tied it up at home either. Hal makes the case for going and getting the next one, from years spent in rooms with the people who write the checks. Kim worksbackwards from the number instead, and lands on the arithmetic that names the episode: a small independent shop trades at six to nine times earnings, a scaled platform at seventeen to twenty. Same industry, sometimes the same town.
The hinge is Hal in the buyer's chair, saying out loud what a buyer is actually paying for. Not effort. Not how nice everybody is. What he can predict. And if the answer is trust me, I know every customer, then he is not buying a business, he is buying a job, and the day the owner leaves it walks out the door with him.
Also in this episode: the x-date and the one week a year a customer is actually buyable, the reversibility rule that resolves fast thinking against careful thinking without either host losing, and the quiet part about the roll-up buyercoming to your market. He is not better than you. He has capital and a spreadsheet. And he is betting you never write down where you are going.
Ready to Take Action?
Website and IMPACT:https://smallbusinessbigai.com/
Kim Lewis Howard on LinkedIn:https://www.linkedin.com/in/kim-lewis-howard/
Hal Howard on LinkedIn:https://www.linkedin.com/in/halhoward/
Insurance assessment, commercialor personal lines: https://asklewishoward.com
---Q1. What is my small business actually worth, and why dobigger companies in the same industry sell for so much more?
Size changes the category, not just the number. A small independent operator in insurance trades somewherearound six to nine times earnings. A scaled platform in the same industry, sometimes serving the same customers in the same town, sells at seventeen to twenty. The spread is not a reward for revenue. It is a price on predictability. A buyer paying the high end can model next year off your last three years because the records support it. A buyer looking at a business whose knowledge lives in the owner's head is not buying a company, he is buying a job, and he prices it accordingly. Two businesses can be equally profitable andequally well run and still land at opposite ends of that range.
Q2. Why are private equity firms suddenly buying smallbusinesses like plumbing, HVAC, dental and insurance agencies?
Because forty of them bolted together is a different asset than one of them, and the arithmetic finally works at small scale. Capital that historically ignored Main Street as too small and too owner-dependent has reversed on that view fast. In insurance there were 21 disclosed deals in the first half of this year and forecasters expect 120 to 180 over the next fourquarters. HVAC recorded a hundred and forty-nine deals last year even while industrial acquisitions overall declined. With roughly 39,000 independent insurance agencies in the United States and seven to eight hundred changing hands annually, consolidation is already underway. The buyers are not doing this because they love the trade. They are doing it because a platform sells for multiples a single shop never will.
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MUSIC & SOUND CREDITS
Music: "I Am with You" by Dream Cave; Epidemic Sound via iStock.com
License ID: d483d505-8bd8-4b73-988f-298
Sound Effects: https://pixabay.com/sound-effects/

What if the biggest obstacle to AI adoption isn't the technology - but the word leaders use to describe their people?
Resistance.
In this Expert Spotlight, Kim Lewis Howard sits down with Dr. Tamara Bombardo-Way, founder of BrightPath Solutions and creator of the BRIGHT Framework, to explore why promising AI initiatives stall even after a company chooses the right tool, provides training and gives the rollout time.
Tamara shares the story of Crestline, a small business performing testing work for the automotive industry. Its AI implementation had flatlined, and leadership believed certain employees were resisting the change. But one longtime employee wasn't really questioning the technology. She was circling the question she was afraid to ask:
"What am I going to do now?"
That distinction changes everything.
Kim and Tamara examine the three people leaders often encounter during a technology rollout: the questioner, the quiet employee and the veteran who says yes but quietly returns to familiar ways of working. Each needs a different leadership response. Treating all three as resistant only creates more friction.
Tamara also walks through her six-part BRIGHT Framework:
Build strategic alignment

einforce leadership and relationships

mprove systems and workflows

row people and capabilities

arness technology and innovation

hrive through continuous improvement

Notice the order: technology doesn't appear until step five. Four steps happen before anyone chooses a tool.
In this episode:
Why AI threatens professional identity, not just individual tasks

The real question hiding underneath an employee's technical objections

How a skeptical employee became an advocate for an AI rollout

The three common responses to workplace change

Why the "counterfeit yes" often comes from a veteran who is afraid to reveal what they don't understand

Why leaders must understand the existing workflow before selecting technology

How the BRIGHT Framework helps organizations reduce friction

Why training once is never enough

How emotional intelligence becomes a hard, learnable business skill

What happened when the change didn't fully take

Your Monday move:
Do not begin with another tool. Identify one place where work keeps getting stuck and ask the person closest to it what they are actually worried about - not simply what they think of the software.
Ready to Take Action
Learn more about Dr. Tamara Bombardo-Way, the BRIGHT Framework and BrightPath Solutions:
https://www.brightpath-ai-solutions.com/
Connect with Tamara on LinkedIn:
https://www.linkedin.com/in/tamaralbombardoway/
Watch an AI-native insurance agency being built in real time:
https://AskLewisHoward.com
Small Business Big AI:
https://smallbusinessbigai.com/
Connect with Kim Lewis Howard on LinkedIn:
https://www.linkedin.com/in/kim-lewis-howard/
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MUSIC & SOUND CREDITS
Music: "I Am with You" by Dream Cave; Epidemic Sound via iStock.com
License ID: d483d505-8bd8-4b73-988f-298
Sound Effects: https://pixabay.com/sound-effects/