AI Agent FoundationsHealth PayersSupervised
Agent governance program with evaluation gates and audit trail
Problem. Each new agent negotiates its own controls with risk and compliance, so approved agents sit months behind the business case.
Agent design. Central evaluation harness, agent and model registry, red-teaming, PHI-aware guardrails and release gates that every team ships through.
Outcome. Agents reach production on a standard, defensible control baseline instead of a bespoke approval each time.
Acts in. Model registry · Evaluation harness · Risk and compliance
100% of deployed agents pass a standard evaluation gate · 30–50% shorter path from pilot to production
Works with
Azure OpenAI