Reference framework

The enterprise Agentic AI SDLC

A risk-tiered, evidence-producing lifecycle for human-accountable, independently verified, control-plane-enforced AI and agent delivery.

Continue exploring

Open the governed use-case workbench
Translate a proposed use case into a preliminary risk pathway, control set, gates, verifiers, and evidence plan.
Review controls and evidence
Browse stable reference control identifiers, accountable owners, verifier roles, and expected artifacts.
Study the engineering field
Connect lifecycle governance to the emerging systems and practices around agentic engineering.
Choose an implementation path
Translate the lifecycle into an enterprise or home-lab environment architecture with explicit boundaries, evidence, and operating responsibilities.