Six phases.
Each phase has a defined deliverable. Skipping or compressing them past the point in the roadmap below is the most common cause of failed enterprise AI deployments.
Phase 5, Deployment (weeks 6–12)
Successful AI deployment follows a crawl-walk-run sequence. Speed without governance creates incidents, not momentum.
1 to 2 departments, limited scope
Select departments with clear, low-risk use cases and motivated champions. Every pilot user must complete training and sign policy acknowledgment before receiving access. Owner: Department leads + IT. Deliverable: pilot cohort onboarded.
Weekly pulse check with pilot users
Track time saved, output quality, policy questions, and unexpected edge cases. Committee adjusts policy before broader rollout. Owner: Committee + dept leads. Deliverable: pilot evaluation report.
Full training before access is granted
All-employee training completed before access is granted. IT deploys access tiers and activates monitoring and audit logging. Helpdesk prepared to support questions from day one. Owner: HR + IT. Deliverable: 100% of employees trained and acknowledged.
Required contractual protections for every AI vendor
Data isolation · Zero training on your inputs · Breach notification within 72 hours · Right to audit · Data deletion on termination · Defined data residency.
Phase 6, Continuous governance
AI governance is not a one-time project. The technology changes every quarter. Your policy must evolve with it.
Technical safeguards, always on
- Enterprise AI tools with contractual data isolation
- Audit logging on all AI sessions
- SSO and identity management for all AI tool access
- DLP tools configured to detect sensitive data patterns
Policy refresh cycle
- Annual full policy review at minimum
- Quarterly Committee review of new AI capabilities
- Immediate review triggered by major vendor policy change
- Immediate review triggered by any internal AI incident
Ongoing training
- Semi-annual refresher for all employees
- Advanced training for Tier 2/3 access holders
- AI policy module built into new-hire onboarding
Monitoring & metrics
- Quarterly: tool utilization
- Quarterly: policy acknowledgment rates
- Quarterly: incident reports
- Quarterly: time-to-value estimates
The most important protection, culture, not just policy
The most effective governance programs build a culture where employees feel safe asking questions and reporting issues, rather than quietly misusing tools. The AI Committee's most important function is being approachable, not punitive.
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