AI governance and risk advisory for financial institutions
Focused advisory work for institutions that need more than software or training: designing an AI governance framework, assessing model risk management against SR 26-2, building operational risk and resilience frameworks, and facilitating RCSA workshops. Led by Ahmer Nehal, who has run these functions inside large banks rather than only advised on them.
AI governance framework
AI policy, risk appetite, inventory, materiality method and minimum controls aligned to the FSB sound practices and MAS guidelines, sized to your institution.
Model risk gap assessment against SR 26-2
Review of your model risk policy, definition, inventory, tiering and validation against the April 2026 guidance, with a prioritised remediation plan.
Operational risk and resilience framework
RCSA, KRIs, loss data and resilience design based on the Basel principles, extended to AI and third-party AI.
Facilitated RCSA workshops
In-house or collective workshops that take your units through the register and leave you with rated risks and agreed actions.
Fraud and compliance risk reviews
Independent review of fraud controls, compliance risk and AML arrangements, drawing on the founder's experience as Head Risk and Fraud.
How does an engagement work?
We agree scope and deliverables in writing, work with your team on site or remotely, and hand over documents and registers you own. Where useful, the outputs go straight into the cloud software so they are used, not filed.
Fees depend on scope and size. Describe what you need in the contact form and we will reply with a proposal.
Discuss your requirement
Tell us what you need to achieve and by when. We reply within one working day.