We put the policy, evaluation and monitoring in place so leadership can trust what AI does — and prove it to boards, customers and regulators. Governance engineered in, not bolted on.
The controls that turn "the model seems fine" into evidence you can put in front of a board or a regulator.
Clear, practical policy for how AI is built, bought and used across your organization.
Rigorous testing for accuracy, bias, robustness and safety before anything ships.
Structured assessment of where AI creates risk — and what controls reduce it.
Continuous monitoring so degrading or drifting models get caught early.
Logged decisions and explanations you can show a regulator or board.
Mapping your AI to emerging frameworks — NIST AI RMF, ISO, and sector rules.
A clear path from "we have AI everywhere" to a program you can govern and report on.
We catalog every model, vendor and use case already in play.
We evaluate each for risk, impact and control gaps.
We implement policy, evaluation, monitoring and approval flows.
We run ongoing monitoring and reporting as systems evolve.
Oversight built for environments that can’t afford to get AI wrong.
Governance for models that influence patient-care decisions.
Controls and audit trails to the standard regulated operations demand.
Frameworks to vet vendors and report AI risk to leadership.
Governance for location and sensor data handling at scale.
Tell us what you're trying to do. We'll tell you honestly whether AI is the right tool — and if it is, how we'd build it.