We design policies and controls mapped to named standards — including AI-specific frameworks — so "we're compliant" is something you can prove on request, not just claim.
GRC work fails when it's treated as paperwork. We build it as an operating system for your risk decisions instead.
Information security, data handling, access control, and acceptable use policies written in plain language your team will actually follow — and an auditor will actually accept.
Your existing tools and processes mapped against the specific controls a framework requires, so you can see exactly what's covered and what's a genuine gap.
Structured, repeatable risk registers — likelihood, impact, and treatment plan for each identified risk — reviewed on a set cadence, not once and forgotten.
Evidence collection, control walkthroughs, and direct support during the audit itself, so certification season isn't a fire drill for your team.
Due diligence questionnaires and ongoing monitoring for the vendors and subprocessors that touch your data — because your compliance is only as strong as theirs.
Risk management and control design for AI systems under ISO/IEC 42001 and the NIST AI Risk Management Framework — model risk, data provenance, and human oversight controls included.
Including the two frameworks that matter most for AI systems operating in or selling into the US market.
If your product makes decisions with a model — scoring, ranking, generating, recommending — regulators and enterprise customers increasingly expect you to show how that risk is managed, not just that the model performs well.
The international standard for managing AI systems responsibly across their lifecycle — governance structure, risk assessment, and continuous improvement, similar in shape to ISO 27001 but scoped to AI.
A voluntary but widely referenced US framework organized around four functions — Govern, Map, Measure, Manage — used by federal agencies and enterprise buyers to evaluate AI risk posture.
Usually it's a specific trigger: an enterprise prospect's security questionnaire, a cyber-insurance renewal, a board asking what "AI governance" means for your product, or a first audit deadline that's closer than it feels. We build the program the trigger actually requires, not a maximalist one.
We also work with companies who aren't under deadline pressure yet but want the control environment in place before it's forced on them — which is usually the cheaper way to do it.