You know AI matters for your agency. You are just not sure where to start, or how to add it without breaking your service or your E&O exposure. The honest starting point is not a tool. It is a paid readiness check that finds your undocumented workflows before you automate them, then builds only on the parts that are actually ready.
Last updated: July 16, 2026
Am I behind if I haven’t started with AI yet?
No. You are exactly where most of the channel is. In the 2024 Agent-Customer Connection Study, only 6% of agency principals said they had actually implemented an AI solution, while more than one in three expected to be using AI within five years (Agent for the Future, Liberty Mutual).
So the noise does not match reality. The conference stage makes it sound like every agency but yours is running some slick AI operation. The data says almost nobody has actually deployed anything. “Curious but concerned” is not a late starting position. It is the normal one, and it is the smart one, because the agencies rushing in are mostly the ones showing up in the failure statistics. My partner Tamara owns an agency, and the thing I hear from her and every owner like her is not “how do I get ahead of AI,” it is “how do I not screw this up.” That is the correct question.
Why am I right to be concerned about AI in my agency?
Because an agency runs on judgment that mostly lives in a few people’s heads, and AI amplifies whatever it can read, including the gaps in that judgment. The concern is not paranoia. It is an accurate read of your own operation.
Think about how work actually moves through your shop. A renewal flags, and your service lead knows without looking it up that this carrier has been non-renewing older roofs, so she pulls the account before it becomes a problem. A client calls upset about a rate increase, and your producer knows the three things to check and the exact way to have that conversation. None of that is written down. It is in the people. That is the strength of an independent agency and it is also the exact thing that makes a careless AI rollout dangerous, because when you drop a chatbot or an automation on top of an undocumented process, it does not inherit the judgment. It fills the gap with a confident guess and says it to your client.
The trust numbers reflect this. Only 17% of agents say they trust AI technology, and about a quarter view it as a threat, with E&O exposure and data privacy at the top of the worry list (Agent for the Future, Liberty Mutual). That skepticism is not ignorance. It is people who understand their own liability being careful. Good. Careful is what you want here.
Where should an agency actually start with AI?
Start by finding out what your agency has documented and what only lives in people’s heads. That is a readiness check, and it comes before any tool, any build, any automation.
Here is why this order matters and not the other way around. The companies that skip the readiness step are the ones quietly walking away later. S&P Global found that the share of organizations abandoning most of their AI initiatives jumped to 42% in 2025, up from 17% the year before (S&P Global Market Intelligence). Those are not people who picked the wrong vendor. Those are people who bought the amplifier before they had anything worth amplifying, hit the wall, and quit. You do not have to be in that number. You just have to do the unglamorous step first.
That is the whole idea behind AI only amplifies what it can read, our flagship position. Point AI at a documented renewal process and it makes that process faster. Point it at a renewal process that exists only in your head and it makes a fast, confident mess. The readiness check tells you which one you actually have.
The offering ladder: how we take an agency from curious to running
We built the path so you never have to make a big bet before you have proof. Every step earns the next one, and the first real step is cheap on purpose.
| Step | What it is | What it costs |
|---|---|---|
| Free fit call | We make sure we are a fit before you spend a dollar | Free |
| AI Readiness Audit | We read your agency the way an AI would and tell you what is ready, what is not, and where the E&O landmines are | $750, credits to the build |
| Operational Foundations | The “not ready yet” path: we document your workflows and write the SOPs so there is something worth automating | From $1,000 |
| AI Implementation / Build | We build the automation on top of the documented, ready workflow | Scoped to the build |
| Embedded | We stay in the seat and keep it running as your operation changes | Ongoing |
Notice the audit is not the top of the ladder. It is the bottom, and it is the point. Most of the value is in finding out the truth about your agency before you spend real money, including the honest answer we give more than people expect: not yet, do the Foundations work first. We do not sell agencies software they would be better off without.
What does the AI Readiness Audit actually do for an agency?
It reads your agency the way an AI would have to and reports back what it found. Where your process is documented, where it only lives in a person, where your data is too messy to trust, and which workflows carry real E&O exposure if a machine gets them wrong.
Concretely, we look at the workflows where agencies most want AI and where it is most dangerous: renewals, service tickets, follow-up on new business, commission reconciliation. For each one we try to write down how your agency actually handles it. The places where we cannot finish that sentence are the places an AI would have failed, and we hand you that map. You come out knowing exactly what is ready to automate now, what needs to be documented first, and what should stay human. That is worth a lot more than a tool you are afraid to turn on.
Your next step
Start with the free fit call, or go straight to the AI Readiness Audit. It is $750, it credits toward the build, and its job is to tell you the truth about your agency before you spend real money on AI.
If you want the thinking behind it first, read AI only amplifies what it can read. And if you have already tried AI in your agency and it did not stick, read why most agency AI rollouts fail.