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AI Governance Roadmap

A staged roadmap for moving from initial AI policy and pilot through controlled rollout, organization-wide adoption, and continuous governance.

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AI Governance Roadmap

A staged roadmap for moving from initial AI policy and pilot through controlled rollout, organization-wide adoption, and continuous governance.

Phase 1 — Policy & Pilot

  • Draft the AI Acceptable Use Policy and AI Governance Policy, with sign-off from IT and organizational leadership.
  • Select an initial pilot group and a small set of approved tools aligned to identified, low-risk use cases.
  • Milestone: policy approved and published. Owner: AI Governance Owner / IT leadership.
  • Milestone: pilot group and tools selected, with success criteria defined. Owner: department leads sponsoring the pilot.

Phase 2 — Controlled Rollout

  • Expand access to defined teams beyond the initial pilot, based on pilot results and demonstrated value.
  • Implement usage monitoring and logging so adoption and risk indicators are visible, not assumed.
  • Milestone: rollout scope and timeline documented per team. Owner: IT leadership.
  • Milestone: monitoring dashboard or reporting in place. Owner: AI Governance Owner.

Phase 3 — Organization-Wide Adoption

  • Complete full rollout to all eligible staff, staged by function to manage support load.
  • Ensure training is complete for all users prior to their access going live, not delivered retroactively.
  • Milestone: 100% of eligible staff trained and provisioned. Owner: IT leadership and department managers.
  • Milestone: support and escalation paths documented and communicated. Owner: IT leadership.

Phase 4 — Continuous Governance

  • Establish an ongoing risk review cadence covering new tools, new use cases, and changes in vendor terms.
  • Update policy on a defined schedule and in response to material incidents or regulatory change.
  • Milestone: recurring governance review scheduled (e.g., quarterly). Owner: AI Governance Owner.
  • Milestone: policy revision history maintained and reviewed at each cycle. Owner: AI Governance Owner.

Related Resources

  • Building an AI Governance Program — /knowledge-center/artificial-intelligence/ai-governance-secure-ai/building-an-ai-governance-program
  • AI Governance Fundamentals — /knowledge-center/artificial-intelligence/ai-governance-secure-ai/ai-governance-fundamentals

This document is a starting-point resource, not legal or compliance advice. Review it against your organization's actual systems before adoption — see the full AI Governance & Secure AI for Business Hub for the reasoning behind each recommendation.

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