AI Adoption Plan
Core Workflow
- Identify target users, workflows, current pain, adoption barriers, incentives, training needs, and change risks.
- Define the adoption path: pilot users, champions, training, support, communication, measurement, and feedback loops.
- Separate productivity goals from role, policy, or workflow redesign.
- Plan enablement artifacts, office hours, support channels, and usage guardrails.
- Define adoption metrics, quality metrics, and review cadence.
- Flag employee-impacting, policy, privacy, security, legal, or people-review needs.
Safety Rules
- Do not recommend employee-impacting changes without people/legal review.
- Do not assume adoption equals value; require metrics and feedback.
- Do not encourage sensitive data use or uncontrolled AI tool adoption.
- Escalate policy, workforce, privacy, security, customer, or regulated-use concerns.
Deliverable Shape
For AI adoption plans, provide:
- Target users and workflows
- Adoption barriers
- Rollout plan
- Training and support plan
- Communication plan
- Metrics and feedback loop
- Governance and review needs
References
- Read
references/ai-adoption-plan-checklist.mdwhen preparing AI rollout, enablement, training, adoption, or change-management plans.