What's different here
Model risk management is an existing discipline in financial services, and AI has to fit inside it. Explainability, audit, data residency, and the consequences of a hallucinated figure all shape what's buildable.
Where we help
- Document-heavy workflows: onboarding, KYC review, contract and policy analysis
- Internal copilots over regulated data with the access controls to match
- Evaluation and monitoring that satisfy model risk and internal audit
- Governance for AI agents that touch customer accounts
How we engage
The same four-step approach applies everywhere: assess, prove, ship, hand off. Industry shapes the constraints, not the discipline. See how we work.