AI Governance & Compliance

I embed governance into the build: policy-as-code, logging, access controls, and evals that satisfy security and compliance teams. Get deployable checklists, monitoring, and playbooks that make release decisions and production behavior reviewable.

• Model risk management with approvals, versioning, and rollback paths
• Audit-ready logging, PII handling, and data residency controls
• Policy enforcement for HIPAA/SOC2/FDA/financial services
• Human-in-the-loop review and red-teaming workflows

Expected outcomes

• Avoid pilot failure by shipping governed agents and RAG with clear controls
• Accelerate compliance sign-off with audit artifacts and traceability
• Reduce operational risk with monitoring, alerts, and playbooks

Reference stack