AI agent governance built for Microsoft Agent 365.

Agent Tiering / Inherent Risk Classification, full quality.

Six patterns for CV-screening and shortlisting agents.

For agents that can discipline or terminate a worker.

For exam-scoring and academic-integrity agents.

Before any agent is built or piloted, any industry.

Before any agent ships to production, any industry.

For AI embedded in a tool you already pay for.

Rent or own, which model, and where it runs, governed.

For as long as an agent stays in production, not just at launch.

For agents that delegate work to other agents.

The identity layer underneath every agent, any industry.

The data layer underneath every agent's output, any industry.

For the moment an agent changes, any industry.

How an agent's operating mode is set, changed, and defended.

Running an agent under ongoing incident-response and regulatory obligations.

For the specific moment a deployment moves from built to launched.

The governed transitions an agent moves through across its whole operating life.

Controlling runaway agentic AI spend before it becomes next month's budget crisis.

Finding the agents nobody registered, and keeping the registry honest.

The architectural discipline that limits and investigates prompt injection risk, not a detector.

Seven gates tracing a real CI/CD pipeline, commit through rollback.