Governance built from the inside, not the outside.
AI Risk Consulting exists because most AI governance advice is written by people who have never had to defend a model to a regulator. Ours is.
Our approach
We treat AI governance as risk management, not compliance theater. That means starting from how institutions actually get examined — model inventory, validation, monitoring, escalation — and extending that discipline to cover what's genuinely new about generative and agentic systems, rather than discarding decades of model risk practice to chase whatever is newest.
Every framework we deliver has already been tested against real supervisory review, internal audit, and board scrutiny — because that's the environment it was built in.
What that means for you
- No junior staff running your engagement — direct, senior-level work throughout
- Frameworks grounded in current supervisory expectations, not generic templates
- A single point of contact who understands both the technology and the exam room
Satyaki brings twenty years of model risk and AI governance experience at top-tier US banks — including JPMorgan Chase, Wells Fargo, Capital One, Discover, Truist and Huntington Bancshares — and has worked in all three lines of defense: building and owning models, validating and challenging them independently, and providing assurance over whether the framework was genuinely applied.
That range is unusual. Most governance advice comes from people who have only ever sat in one line, and it shows in what they recommend. He founded AI Risk Consulting to bring practitioner-level discipline to institutions that need it but don't yet have it in-house.
Want to work together?
Start with a short conversation about where your program stands today.