AI Model Risk

AI models introduce risks that traditional MRM frameworks weren’t designed for: opacity, drift, embedded bias, and the uncomfortable truth that your model might be confidently wrong in ways you can’t easily detect. We help firms build AI-specific governance that addresses explainability, performance monitoring, and regulatory expectations - from SS1/23 to the EU AI Act - before the regulator asks the question you don’t have an answer to.

Whether you’re deploying LLMs in client-facing applications or using ML in credit decisioning, we design validation approaches, ongoing monitoring frameworks, and board-level reporting that treat AI risk as what it is: a first-order governance challenge, not an IT project with a compliance sticker on it.