A AI knowledge base for a investments and wealth business tackles one specific leak: your advice methodology, the strategies you favour, how you frame a scaled piece, the reasoning behind a recommendation and the lessons from past cases, lives in a few senior advisers and a mess of old files. When those people are busy, advice slows to their pace. When they leave, the methodology 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 advice methodology, the strategies you favour, how you frame a scaled piece, the reasoning behind a recommendation and the lessons from past cases, lives in a few senior advisers and a mess of old files. When those people are busy, advice slows to their pace. When they leave, the methodology leaves too.
This is not a generic problem with a generic tool bolted on. It is a specific leak in a investments and wealth business, and the system is built to close it. You can see the full picture of where a investments and wealth business leaks margin on the investments and wealth industry page.
A knowledge base that turns your advice and paraplanning history into something the whole team can question: past strategies, template reasoning, compliant wording, product research and the lessons from prior cases, 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 and Xplan notes feeding it, and it cites the source file or template 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 paraplanner or adviser can find how the firm has advised a comparable case and the reasoning behind it, without waiting for the one senior person who remembers, so advice stops bottlenecking on a single desk.
Month three. By month three the knowledge base has become the place your advice methodology 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 investments and wealth 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.