What you will learn
- Why capability is rarely the real blocker to AI adoption in a regulated firm.
- How to decide which workflows can run on which tools without inventing policy.
- What evidence trail partners need if a regulator or client asks later.
What stops a regulated firm adopting AI?
Almost never capability. The blocker is confidentiality, data protection and professional obligation, together with the fact that nobody in the partnership wants to be the person whose name is on the approval. A tool demonstration answers none of that, which is why the conversation in most firms stalls immediately after the demonstration and never restarts. What moves it is a written position per workflow rather than a policy in the abstract, because a partner can sign off a specific thing far more readily than a principle.
What did the review produce?
A written position per workflow: what it runs on, where client data goes, what the engagement letter needs to say, and what evidence exists if a regulator asks twelve months later. Several workflows were declined outright, and that is the part that made the cleared ones usable. A list with nothing refused on it reads as a sales document to a partner, and gets treated as one. The refusals are what gave the approvals their weight.