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AI Governance Implementation Plan

30-60-90 Day Roadmap

Document Control​

FieldDetails
Document TypeImplementation Roadmap
ObjectiveOperationalize AI Governance Operating Model within 90 days
OwnerAI Governance Lead / AI Risk Officer
Versionv2.0

Executive Summary​

This implementation plan transforms the AI Governance Framework from documentation into an operational program. The phased approach prioritizes:

  1. Foundation (Days 1-30): Establish authority, form teams, identify existing risks
  2. Pilot (Days 31-60): Test processes with selected use cases, refine artifacts
  3. Operationalize (Days 61-90): Full rollout, enforcement gates, training

Phase 1: Foundation (Days 1-30)​

Goal: Establish authority, appoint key roles, and identify existing high risks ("stop the bleeding")

1.1 Establish Mandate & Authority​

TaskOwnerDueDeliverableStatus
Obtain Charter signature from Executive SponsorAI Risk OfficerDay 5Signed Charter[ ]
Present governance framework to Executive CommitteeAI Risk OfficerDay 7Presentation deck[ ]
Form AI Governance Board - identify membersExecutive SponsorDay 10Member roster[ ]
Hold first Governance Board meetingAI Risk OfficerDay 14Meeting minutes, risk appetite statement[ ]
Approve Risk Classification MatrixGovernance BoardDay 14Approved matrix[ ]

1.2 "Stop the Bleeding" - Discovery Sprint​

TaskOwnerDueDeliverableStatus
Launch simple Intake Form (MS Forms/Jira)AI Risk OfficerDay 7Working intake portal[ ]
Send AI inventory survey to all Engineering/Product leadsAI Risk OfficerDay 10Survey distributed[ ]
Work with Procurement to identify AI vendor spendAI Risk OfficerDay 15Vendor AI inventory[ ]
Collect responses and compile initial inventoryAI Risk OfficerDay 21Draft AI inventory[ ]
Identify potential High/Critical risk systemsAI Risk OfficerDay 25High-risk shortlist[ ]
EU AI Act applicability assessmentLegalDay 28GPAI/High-Risk identification[ ]

1.3 Publish "Rules of the Road"​

TaskOwnerDueDeliverableStatus
Finalize Enterprise AI PolicyAI Risk Officer + LegalDay 14Draft policy[ ]
Legal review of policyLegalDay 21Approved policy[ ]
Publish policy via email/intranetCommunicationsDay 25Policy published[ ]
Conduct "GenAI Awareness" training sessionL&D / AI Risk OfficerDay 28Training completed[ ]

Phase 1 Success Criteria​

  • Charter signed by Executive Sponsor
  • Governance Board formed with first meeting held
  • Initial AI inventory compiled (>70% coverage)
  • Enterprise AI Policy published
  • At least one awareness session conducted

Phase 2: Pilot (Days 31-60)​

Goal: Test the governance process with selected use cases, refine artifacts based on feedback

2.1 Pilot Case Selection​

TaskOwnerDueDeliverableStatus
Select 3 diverse pilot cases (Low, Medium, High risk)AI Risk OfficerDay 35Pilot case list[ ]
Brief pilot teams on processAI Risk OfficerDay 38Briefing completed[ ]
Assign governance liaisons to each pilotAI Risk OfficerDay 40Liaison assignments[ ]

Pilot Selection Criteria:

  • 1 Low-Risk: Simple, low-stakes AI (e.g., internal chatbot)
  • 1 Medium-Risk: Operational AI with some customer impact
  • 1 High-Risk: Decision-making AI (credit, HR, or customer-facing)

2.2 Process Testing​

TaskOwnerDueDeliverableStatus
Pilot teams complete Intake FormsPilot OwnersDay 423 completed forms[ ]
Test Risk Classification on pilotsAI Risk OfficerDay 45Tiering validated[ ]
High-Risk pilot completes AIAPilot Owner + PrivacyDay 52Completed AIA[ ]
Pilot teams complete System CardsPilot OwnersDay 553 System Cards[ ]
Collect feedback on artifacts/processAI Risk OfficerDay 58Feedback summary[ ]
Refine artifacts based on feedbackAI Risk OfficerDay 60Updated templates[ ]

2.3 Tooling & Workflow Integration​

TaskOwnerDueDeliverableStatus
Integrate Intake Form into ticketing systemITDay 45ServiceNow/Jira integration[ ]
Configure Model Registry for versioningMLOpsDay 50Registry configured[ ]
Create governance dashboard (basic)AI Risk OfficerDay 55Dashboard live[ ]
Document evidence repository structureAI Risk OfficerDay 55Repository structure[ ]

2.4 First Review Board Session​

TaskOwnerDueDeliverableStatus
Hold first AI Risk Review Board sessionAI Risk OfficerDay 50Meeting minutes[ ]
Review pilot cases at Review BoardReview BoardDay 50Approval decisions[ ]
Calibrate tiering decisionsReview BoardDay 55Calibration notes[ ]
Document lessons learnedAI Risk OfficerDay 60Lessons learned doc[ ]

Phase 2 Success Criteria​

  • 3 pilot cases processed through full lifecycle
  • Intake Form integrated into corporate ticketing
  • First Review Board meeting conducted
  • Artifacts refined based on pilot feedback
  • Governance dashboard operational

Phase 3: Operationalize (Days 61-90)​

Goal: Full rollout, enforcement gates, training deployment

3.1 Enforcement Gates​

TaskOwnerDueDeliverableStatus
Implement procurement gate (vendor AI)ProcurementDay 70Procurement checklist[ ]
Implement deployment gate (High/Critical)DevOpsDay 75CI/CD gate[ ]
Establish exception workflowAI Risk OfficerDay 75Exception process[ ]
Configure monitoring alertsSecurity/MLOpsDay 80Alert configuration[ ]

Gate Requirements:

  • Procurement Gate: No new AI vendor contract without Intake Form
  • Deployment Gate: No High/Critical AI to production without System Card ID and Review Board approval

3.2 Training & Culture​

TaskOwnerDueDeliverableStatus
Deploy role-based training programL&DDay 75Training modules live[ ]
Train Domain AI StewardsAI Risk OfficerDay 80Steward training[ ]
Conduct executive AI literacy sessionAI Risk OfficerDay 85Exec session[ ]
Appoint stewards in key business unitsBU LeadersDay 85Steward roster[ ]

Training Tracks:

RoleTraining ModuleDuration
All EmployeesAI Policy & Acceptable Use30 min
DevelopersSecure AI Development2 hours
Product ManagersRisk Assessment & AIA1.5 hours
AI System OwnersGovernance Lifecycle2 hours
ExecutivesAI Governance Overview1 hour

3.3 Enterprise Launch​

TaskOwnerDueDeliverableStatus
Announce enterprise-wide launchCommunicationsDay 80Launch announcement[ ]
Publish governance portal/wikiAI Risk OfficerDay 80Portal live[ ]
Set deadline for retroactive registrationAI Risk OfficerDay 82Deadline communicated[ ]
Process backlog of inventory registrationsAI Risk OfficerDay 90Inventory current[ ]

3.4 Reporting & Metrics​

TaskOwnerDueDeliverableStatus
Prepare first quarterly reportAI Risk OfficerDay 85Draft report[ ]
Present "State of AI Risk" to Executive CommitteeAI Risk OfficerDay 90Report delivered[ ]
Establish ongoing reporting cadenceAI Risk OfficerDay 90Reporting calendar[ ]

Phase 3 Success Criteria​

  • Enforcement gates operational
  • Training deployed to all required roles
  • 100% AI inventory coverage achieved
  • First quarterly report delivered to executives
  • Domain AI Stewards appointed in all major BUs

Day 90 Definition of Done​

MetricTargetActual
AI Systems Inventoried100%
Systems with Owner Assigned100%
High-Risk Systems with Documentation100%
Ungated High-Risk Deployments0
Policy Awareness (employees)>80%
Domain Stewards AppointedAll major BUs
Governance Board Meetings Held3+
Review Board Meetings Held8+

Resource Requirements​

4.1 Team​

RoleFTE RequiredSource
AI Governance Lead1.0Existing or New Hire
Governance Analyst0.5-1.0Existing Risk/Compliance
Technical Liaison0.25Engineering
Legal Support0.25Legal
Privacy Support0.25Privacy

4.2 Budget (Estimated)​

CategoryPhase 1Phase 2Phase 3Total
Personnel (FTE)$30,000$30,000$30,000$90,000
Training Development$5,000$10,000$5,000$20,000
Tooling$0$15,000$10,000$25,000
External Advisory$10,000$5,000$0$15,000
Total$45,000$60,000$45,000$150,000

4.3 Tooling Recommendations​

FunctionTool OptionsPriority
Intake PortalServiceNow, Jira, MS FormsPhase 1
Model RegistryMLflow, AWS SageMaker, Azure MLPhase 2
DocumentationConfluence, SharePointPhase 1
Governance DashboardPower BI, Tableau, MetabasePhase 2
MonitoringDataDog, Arize, FiddlerPhase 3
GuardrailsGuardrails AI, NeMo, CustomPhase 3

Risk & Mitigation​

RiskLikelihoodImpactMitigation
Low adoption by teamsMediumHighExecutive mandate, steward network, communication
Resistance from developersMediumMediumDemonstrate value, streamline process, quick wins
Incomplete inventoryHighHighMultiple discovery methods, deadline with consequences
Tooling delaysMediumMediumStart with simple tools, iterate
Resource constraintsMediumHighPrioritize High-Risk, defer Low-Risk automation

Post-90 Day Roadmap​

Quarter 2 (Days 91-180)​

  • Automate Low-Risk approval workflow
  • Implement bias monitoring dashboards
  • Expand training to contractors
  • First annual policy review

Quarter 3 (Days 181-270)​

  • External audit of governance program
  • Advanced guardrails implementation
  • AI incident tabletop exercise
  • EU AI Act conformity assessment process

Quarter 4 (Days 271-365)​

  • Maturity assessment
  • Governance program optimization
  • Annual report to Board of Directors
  • Next year planning

Maturity Model​

LevelNameCharacteristicsTimeline
1InitialAd-hoc, reactive, no formal processPre-program
2ManagedBasic inventory, policies published, manual processesDay 90
3DefinedStandardized processes, automated intake, regular monitoring6 months
4MeasuredMetrics-driven, proactive risk identification, integrated tooling12 months
5OptimizedContinuous improvement, predictive risk, industry leadership24+ months

Document History​

VersionDateAuthorChanges
1.02025-06-15AI Governance OfficeInitial release
2.02026-01-15AI Governance OfficeAdded EU AI Act requirements, expanded tooling, updated budget

Next Step: Proceed to Artifact 9: Generative AI Governance Addendum

CODITECT AI Risk Management Framework

Document ID: AI-RMF-08 | Version: 2.0.0 | Status: Active

AZ1.AI Inc. | CODITECT Platform

Framework Alignment: NIST AI RMF 2.0 | EU AI Act | ISO/IEC 42001

This document is part of the CODITECT AI Risk Management Framework. For questions or updates, contact the AI Governance Office.

Repository: coditect-ai-risk-management-framework Last Updated: 2026-01-15 Owner: AZ1.AI Inc. | Lead: Hal Casteel