It’ s easy to get wowed by a happy path AI agent demo, but will it hold up for financial services? Most don’ t, which is why they never leave the pilot phase. If you run customer operations at a bank, lender, or insurer, that leaves you with an AI project your risk and compliance teams can’ t sign off on.

The gap between a strong agent and a weak one is about 10 %, and it only shows up in live conversations at scale. So the pilot stalls: risk and compliance ask for evidence they can’ t describe, QA needs a rubric nobody has written yet, and testing runs for months without answering whether the agent is safe to launch. Gartner expects over 40 % of agentic AI projects to be cancelled by the end of 2027, with weak risk controls the leading reason.

The solution? Evaluate in stages. Score the agent on your existing human QA rubric, which answers the question your board will ask: is it better than our team? Prove safety before launch with scenario tests, mocked data for regulated journeys, and a red team trying to break it. Then ramp on quality gates and hand your go-live committee an evidence pack with the transcripts behind every result. Once you’ re live, our QA agent checks every conversation so review doesn’ t grow with volume.

Our customers reach 98 % QA and higher CSAT than their human teams. We wrote a full guide to help you evaluate your pilots:

Read it here