A relationship manager at a retail broker has a small number of high-value clients and a large number of low-value ones. The high-value relationships get the attention. The long tail gets a quarterly call, if that.
We built the layer that changes the maths. Not a feature bolted on, an intelligence layer the RM commissions.
Most AI in financial services is shipped as a chat surface glued onto an existing dashboard. It impresses the demo and dies in production because it doesn't change the operating model.
We argued for the opposite. The Co-Pilot sits inside the RM's actual workflow. It reads positions, monitors markets, drafts client reviews, flags pre-call items. The RM's question changes from "what should I do today" to "what do I want to approve today."
A continuous read of every client's portfolio against market signals and internal compliance constraints. The output is a prioritised queue, not a feed.
Client reviews come pre-drafted in the firm's voice, with positions and rationale already written. The RM edits and sends. The unit of work moves from writing to reviewing.
Every output the system drafts is bounded by the firm's compliance rules at generation time. Nothing leaves the system that wouldn't pass review. The compliance team approved the guardrails once; they don't approve every draft.
The Co-Pilot is in production. RMs are running larger books without a degradation in the conversations clients actually have. The work continues; the next phase extends the layer beyond the RM seat into operations and product.
