AI Governance, Risk & Compliance
Governance is an operating cadence, not a one-time compliance event.
Most AI governance failures are practical, not philosophical: orphaned model records, missing approvals, monitoring that starts after go-live, changes that never get re-reviewed. Policy documents do not catch these. Operating routines do.
We install a governance operating model sized to your risk: one accountable owner per use case, a central inventory, review paths proportional to impact, and recurring cadences that keep evidence current. The result stands up to auditors, regulators, and your own board.
Governance is how the top layer of the Process-to-AI Pyramid stays trustworthy: controls proportional to autonomy and impact, applied before, during, and after deployment.
- AI governance framework design
- Use-case risk tiering and inventory
- EU AI Act and NIST AI RMF alignment
- Independent responsible-AI reviews
- Model and agent lifecycle controls
- Monitoring, change, and revalidation routines
You walk away with a risk-tiered AI inventory, review and monitoring routines your teams can actually run, and an evidence pack that survives an audit.
Let's find out what your operation is actually running on.
Bring us the process you're trying to fix. We'll tell you honestly whether it's ready for automation or still needs to be standardized first.