Operationalize AI governance without slowing teams down.
We help you translate high-level AI principles into concrete controls, workflows, and approval paths that product, data, and legal teams can all live with.
AI policy and control design
We work with your legal, risk, and security teams to draft AI policies that are both defensible and implementable, then partner with product and engineering to turn them into real controls.
- Policy frameworks aligned with upcoming regulations.
- Model and data access controls tuned to your stack.
- Guardrail patterns covering safety, misuse, and abuse.
Governance that product can work with
Governance only works when your product teams can move. We design review workflows that are fast for low-risk changes and appropriately deep for sensitive launches.
- Risk-tiered review checklists and playbooks.
- Launch gates tied to evaluation results and sign-offs.
- Post-incident review patterns for AI-specific failures.
You leave with a living governance system, not a static slide deck.
Central inventory of AI use-cases with clearly documented risk levels, controls, and owners.
Standardized expectations for testing, red-teaming, and monitoring before and after launch.
Training for PMs, designers, and engineers on how to ship inside your governance model.