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Implementation Roadmap

90-Day AI Governance Path

The complete roadmap to go from shadow AI chaos to full governance in 90 days

Why 90 Days?

Traditional governance programs take 12-18 months. By the time you finish planning, shadow AI has spread even further and your staff have adopted 5 more ungoverned tools.

90 days is the sweet spot: Fast enough to address urgent risk, slow enough to build sustainable governance. You go from discovery to full deployment in one quarter.

The 90-Day Timeline

Three 30-day phases: Discover → Deploy → Scale

1
Days 1-30

Discovery & Foundation

Understand current state, build stakeholder buy-in, deploy pilot.

Key Outcomes:

  • Shadow AI inventory complete
  • Risk assessment documented
  • Pilot users identified (20-50 people)
  • Platform deployed for pilot group
  • PHI protection validated.
2
Days 31-60

Expansion & Refinement

Scale to broader organization, refine policies, optimize usage.

Key Outcomes:

  • 100-200 active users
  • Governance policies finalized
  • Training program launched
  • Usage patterns analyzed
  • Quick wins documented (ROI proof).
3
Days 61-90

Full Deployment & Governance

Organization-wide rollout, complete governance posture, eliminate shadow AI.

Key Outcomes:

  • All staff have governed AI access
  • Shadow AI eliminated
  • Full observability and reporting
  • Ongoing governance-as-a-service
  • Compliance fully demonstrated.

Discovery & Foundation

Days 1-30

Shadow AI Discovery

Week 1
  • Launch anonymous staff survey (target: 70%+ response rate).
  • Conduct network traffic analysis for AI service domains.
  • Interview 5-10 department leaders about AI usage.
  • Review credit card statements for AI subscriptions.
  • Compile shadow AI inventory (tools, users, use cases, data exposure).

Risk Assessment & Planning

Week 2
  • Assess PHI exposure risk for each discovered tool.
  • Prioritize departments by risk and business need.
  • Define pilot group (20-50 users, mix of departments/roles).
  • Draft governance policies (acceptable use, data handling, model selection).
  • Secure executive sponsorship and budget approval.

Platform Setup & Pilot Prep

Week 3

Deploy AI governance platform (AuthenTech AI or equivalent). Configure PHI protection and audit logging. Set up role-based access controls. Create pilot user accounts and permissions. Develop quick-start training materials.

Pilot Launch

Week 4
  • Onboard pilot users with training session (1 hour).
  • Launch pilot group with governed AI access.
  • Validate PHI protection with real-world use cases.
  • Monitor usage and collect feedback daily.
  • Document early wins (hours saved, workflows improved).

Expansion & Refinement

Days 31-60

Pilot Analysis & Expansion Planning

Week 5
  • Analyze pilot usage data (who's using what, for what tasks).
  • Collect pilot user feedback (satisfaction, pain points, feature requests).
  • Calculate initial ROI (hours saved, productivity gains).
  • Identify next 100-150 users for expansion wave.
  • Refine policies based on pilot learnings.

Broader Rollout (Wave 2)

Week 6
  • Onboard 100-150 additional users (target: 200 total active users).
  • Launch department-specific training sessions.
  • Create use case libraries and prompt templates.
  • Establish support channels (Slack, email, office hours).
  • Begin monthly governance reporting to leadership.

Policy Enforcement & Optimization

Week 7
  • Finalize governance policies (board/leadership approval).
  • Configure usage quotas and model restrictions if needed.
  • Implement content filtering for high-risk use cases.
  • Optimize PHI protection rules based on false positives/negatives.
  • Document shadow AI elimination progress (tools retired).

Training & Change Management

Week 8

Launch organization-wide AI training program (recorded + live). Create power user / AI champion network in each department. Develop case studies showing real productivity wins. Address resistance and misconceptions about governed AI. Plan for final organization-wide rollout (Days 61-90).

Full Deployment & Governance

Days 61-90

Organization-Wide Rollout

Week 9-10
  • Deploy governed AI access to all remaining staff.
  • Conduct department-by-department onboarding sessions.
  • Migrate users away from shadow AI tools (ChatGPT, Claude, etc.).
  • Block unapproved AI services at network level (now that governed option exists).
  • Reach 80%+ adoption across organization.

Governance Hardening

Week 11
  • Complete audit log review (validate all interactions logged).
  • Verify BAAs with all AI model providers.
  • Conduct internal compliance audit (PHI protection, policies, training).
  • Create incident response procedures for AI-related events.
  • Document full governance posture for external audits.

Reporting & Continuous Improvement

Week 12

Generate 90-day governance report (usage, ROI, compliance status). Present results to board/leadership (shadow AI eliminated, governance achieved). Establish ongoing governance-as-a-service (continuous monitoring, updates). Plan for future capabilities (new models, new use cases, new departments). Celebrate wins and recognize AI champions.

Day 90 Success Metrics

What "governance achieved" actually looks like

Shadow AI Elimination

Staff have moved from ungoverned tools (ChatGPT, Claude personal accounts) to governed platform

Target
95%+ reduction

User Adoption

At least 80% of eligible staff using governed AI platform in the past 30 days

Target
80%+ active users

PHI Protection

All AI interactions automatically scanned and cleansed of PHI before data reaches models

Target
100% automated

Compliance Posture

Complete audit logs, executed BAAs, documented policies, training completion tracked

Target
Audit-ready

Usage Visibility

Real-time dashboards showing who's using what, for what tasks, with what data

Target
Full observability

ROI Demonstrated

Hours saved, productivity gains, and shadow AI elimination justify platform cost

Target
Positive in 90 days

Common Roadblocks (And How to Avoid Them)

Stakeholder Resistance

Start with a small pilot (20-50 users) to prove value before seeking org-wide buy-in. Show, don't tell.

Budget Constraints

Frame as risk mitigation + productivity gain, not just new spend. Shadow AI is already costing you.

IT Resource Limitations

Choose a platform that doesn't require heavy IT lift. SaaS deployment should take days, not months.

Staff Training Burden

Make training minimal (1-hour onboarding, not days of workshops). Platform should be intuitive, not complex.

Scope Creep

Stay focused on AI governance, not 'AI strategy for everything.' Get to governance first, expand scope later.

The 90-Day Governance Roadmap: Common Questions

What is a 90-day AI governance roadmap?

A sequenced plan that takes an organization from ungoverned AI use to a working governance program in three 30-day phases: discover what AI is actually in use, deploy policy and a sanctioned platform, then scale adoption with monitoring and training. The point of the timebox is momentum; governance projects without a clock become committees.

What happens after the first 90 days?

Months 4 to 6 are operational hardening: KPI reporting to leadership, quarterly policy and tool-list reviews, and expanding the sanctioned platform to remaining departments. By month 12 the program runs on cadence: annual policy re-acknowledgment, audit-ready reporting, and governance decisions handled by a standing committee rather than a project team.

Who owns the roadmap?

One accountable executive owner, typically the CISO, CIO, or a Chief AI Officer where one exists, with a governance committee making the tool and policy decisions. Distributed ownership is how 90-day plans become 18-month plans.

Do we need to pick a platform before starting governance?

No. Discovery comes first, because the platform decision should be shaped by what your staff already use and need. Policy and platform then land together in the middle phase, so rules arrive with a sanctioned alternative rather than as a bare ban.

Start Your 90-Day Path Today

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