A AI knowledge base for a insurance broking business tackles one specific leak: your underwriting intelligence, which insurer takes which risk, how to structure an unusual program, where a wording has bitten a client before, lives in a couple of senior brokers' heads and a mess of old files. When those people are busy, quoting slows to their pace. When they leave, the knowledge leaves too. Bamco builds it around the tools you already run, so it fits your operation rather than forcing you to change how you work.
Information current as at 4 July 2026
Your underwriting intelligence, which insurer takes which risk, how to structure an unusual program, where a wording has bitten a client before, lives in a couple of senior brokers' heads and a mess of old files. When those people are busy, quoting slows to their pace. When they leave, the knowledge leaves too.
This is not a generic problem with a generic tool bolted on. It is a specific leak in a insurance broking business, and the system is built to close it. You can see the full picture of where a insurance broking business leaks margin on the insurance broking industry page.
A knowledge base that turns your broking history and reference material into something the whole team can question: past placements, insurer appetites, wordings and endorsements, product guides and the lessons from difficult claims, parsed, indexed and searchable in plain language. It can serve answers into a Teams or Slack channel where your team already works, with your document stores feeding it, and it cites the source file or wording behind every answer.
Bring us the idea you already have, or book an audit and we map where the money is leaking. Either way, you deal directly with the senior team that designs and builds it.
Week one. From week one, a junior broker can find which insurer wrote a comparable risk and how it was structured, without waiting for the one person who remembers, so quoting stops bottlenecking on a single desk.
Month three. By month three the knowledge base has become the place your underwriting judgement lives, so it no longer walks out the door when someone does, and the consistency and speed of your advice stops depending on who happens to be free that week.
Engagements typically start around $50k and are scoped after a systems audit, priced as a fraction of what a legacy build of the same capability would have quoted. You get a fixed-scope proposal with a real number before anything is built, and you own what we build. The point is not the price. It is that a well-built AI knowledge base for a insurance broking business is meant to pay for itself in multiples, by plugging a leak that is costing you every week it stays open.
Whether you can name exactly what you want built, or you just know something is leaking, the next step is the same conversation.