Enterprise AI Maturity Practice

Advance through evidence-based stage gates.

Use maturity practice artifacts to show what evidence exists, what evidence is missing, and which stage gates an application is ready to exit.

Stage GatesEvidence PackAssessment UIPractice Artifacts
Stage Gates

Start with the application responsibility this page owns.

Practice Artifacts

Connect the concept to evidence and implementation.

Practice model

Turn maturity into operating evidence

Maturity practice makes the assessment actionable by connecting stages to exit gates, evidence packs, and application-specific findings.

Demonstrate

Show the application can produce useful behavior in a bounded setting.

Operate

Show the application can run with state, errors, handoffs, and operational support.

Govern

Show policy, authority, approvals, and controls are enforced during execution.

Explain

Show evidence, replay, lineage, and outcome reconstruction.

Artifacts

Make maturity visible and reviewable

The practice page is the operational companion to the maturity model.

Stage Exit Gates

Criteria that determine whether an application can leave one maturity stage.

Maturity Evidence Pack

Collected artifacts proving what is governed, operating, explainable, and scalable.

Application Maturity Assessment UI

A workspace that shows current posture, evidence found, and evidence missing.

Responsibility Profile

A domain-by-domain view of identity, context, policy, state, effects, and evidence.

Gap Backlog

Specific missing capabilities or proofs needed to advance maturity.

Review Rhythm

A repeatable operating cadence for reassessing consequential application paths.

Move maturity from slideware to evidence.

Use the practice artifacts to turn one AI application maturity assessment into a concrete improvement path.