Governance is what turns AI experimentation into operational capability. The governance workspace direction gives leaders visibility into settings, activity, rollout signals, and workflow controls.
What it supports
- Provider and workspace settings.
- Activity history, outputs, and audit-friendly records.
- Pilot onboarding, feedback, and adoption signals.
- Workflow controls and test-run patterns.
Best-fit use cases
AI rollout governance, provider configuration, audit history, pilot management, adoption oversight, and workflow visibility for leadership teams.
FAQ
Is this the same as an AI policy?
No. A policy defines the rules. The workspace direction helps teams operate, observe, and improve those rules in practice.
Who should own it?
Usually an executive sponsor, operations owner, technology lead, or AI governance group, depending on the size and maturity of the business.