Banking · Compliance
−80%
hallucination rate
RAGEvaluationEU AI Act
A regulated-finance copilot the risk committee could approve.
- Problem
- A compliance team relied on a general-purpose LLM copilot that produced confident but unreliable answers, blocking it from production use under model-risk policy.
- Solution
- We built a retrieval-augmented architecture grounded in the bank's proprietary regulatory corpora, with a continuous evaluation harness measuring accuracy against a ground-truth set.
- Impact
- Hallucination rate cut by over 80% versus the baseline model. The system passed internal AI governance and went live for first-line compliance teams.

