You get it out of their heads by documenting one workflow at a time, not by ordering someone to “write down what they know.” You sit with the person who is the process, walk a real case, and capture the decision rules, including every “it depends.” Carrier appetite becomes a reference, workflows become SOPs, and the same documentation makes AI possible.
Last updated: July 16, 2026
Why is so much of my agency’s knowledge stuck in people’s heads?
Because an agency is a people business and the knowledge got built the way people learn, by doing thousands of accounts over years, not by writing procedures. Nobody sat down to hoard it. It just accumulated in the people who have been there longest, and nobody ever needed it on paper until now.
Think about what your most experienced person actually knows. They know that this carrier quietly tightened its roof rules last spring. They know which markets to try first for a farm risk, which one is slow to bind right now, and which underwriter to call when something is borderline. They know that when a renewal flags, you check three specific things before you touch it. None of that came from a manual. It came from being wrong a few times and remembering. That is real expertise, and it is also completely invisible to anyone who was not standing next to them while they built it.
This is fine right up until that person is out. Then the knowledge is out with them, and you find out how much of your agency was actually running on one memory. As we put it in AI only amplifies what it can read, the process that lives in a head is a process a machine cannot see, but the bigger truth is that it is a process the rest of your team cannot see either.
Isn’t this just an AI problem I can put off?
No, it is a survival problem the whole industry is walking into right now, and AI is just the thing that made it visible. The people who hold your undocumented knowledge are, on average, closer to leaving than they have ever been.
The numbers on this are hard to look away from. The US insurance sector is expected to lose around 400,000 workers by 2026, largely to retirement (Insurance Business America). And the workforce that remains is aging fast: the number of insurance professionals age 55 and older grew 74% over the last decade (The Jonus Group). Every one of those departures is a head full of appetite knowledge and workflow judgment that either got written down or did not.
So the reason to capture this is not “someday we might do AI.” It is that your best person could give notice next month, or just take a two-week vacation, and you would feel exactly how much of the agency lives in them. Document it because the business needs it to survive a departure. The fact that it also makes you AI-ready is a bonus, not the point.
What is the actual method for getting it out of their heads?
You interview the process, you do not assign a writing task. Telling your veteran CSR to “document what you know” produces nothing, because the knowledge is subconscious. You have to pull it out by walking real cases and writing down the decisions as they make them.
Here is the method that works, one workflow at a time:
| Step | What you actually do |
|---|---|
| Pick one workflow | Not “everything.” Pick the highest-risk, most-repeated one first, usually renewals or new-business placement. |
| Walk a real case out loud | Sit with the person who owns it and have them work an actual account while narrating every decision, including the ones they do not notice they are making. |
| Capture the “it depends” | Every time they say “well, it depends,” stop and write down what it depends on. That branch is the real knowledge. The obvious steps are not. |
| Draft it as something someone else could follow | Write it so a newer person could run the workflow from the page and get the same answer. If they could not, you are missing a rule. |
| Test it on a different case | Run the SOP against a case the expert did not narrate. Where it breaks is where you are still missing knowledge. Fix it and repeat. |
The hard part, and the valuable part, is the “it depends.” Researchers who studied this in insurance found that what experienced underwriters described as a five-step process turned out to be fifteen nuanced steps once they slowed down and captured the judgment calls (RSM US). The gap between the five steps your expert thinks they follow and the fifteen they actually follow is the entire ballgame. That gap is where a new hire fails, and it is exactly where an AI would fail too.
Do carrier appetite and SOPs get documented differently?
A little, yes. Carrier appetite is best captured as a living reference you can look things up in. SOPs are best captured as step-by-step workflows someone can follow start to finish. Same interviewing method, two different shapes of output.
For appetite, you are building a reference that answers “where can this risk go.” Capture it by carrier and by the things that actually decide placement in your book: state, product line, roof age and condition, protection class, prior losses, the risks each market will not touch, and who is restricting binding right now. The goal is that a producer facing a borderline risk can look it up instead of walking down the hall to ask the one person who knows. Keep it current, because appetite changes, and a stale appetite reference is worse than none.
For SOPs, you are building workflows: renewal prep, service ticket handling, new-business follow-up, endorsements, claims intake. Each one written so it survives the author being out. The test is simple and unforgiving. Could someone who is not your expert run this workflow from the page and land in the same place? If yes, you have an SOP. If no, you have notes.
Both of these are the raw material AI needs. A documented appetite reference is something a tool can actually search and reason over. A written SOP is something a tool can actually help run. Point AI at the version that lives in a head and it invents. Point it at the written version and it amplifies. That is the whole reason we treat documentation as step one, not a nice-to-have.
Your next step
If your agency runs on knowledge that only a couple of people hold, the AI Readiness Audit is where to start. We sit with your team, try to write down how your highest-risk workflows and your carrier appetite actually work, and hand you a map of exactly what is documented, what only lives in a head, and what to capture first. It is $750 and credits toward the build. When the answer is “document before you automate,” that is the Operational Foundations work, and it is the honest path.
For the thinking behind it, read AI only amplifies what it can read and the agency overview, AI for independent insurance agencies. And since documentation and clean data go together, read what data your agency needs to clean up before using AI.