All Volumes/Volume 11

Implementation Guide

Practical phased implementation roadmap from 30 days through 2 years with objectives, tasks, deliverables, dependencies, budgets, and success metrics.

Implementation Roadmap

The implementation roadmap provides a practical, phased approach to deploying the AI Governance Framework. Each phase builds upon the previous, with clear objectives, tasks, deliverables, dependencies, owners, success metrics, and budget guidance.

Phase 1: Foundation (Days 1-30)

Element	Detail
Objectives	Establish governance body, conduct initial inventory, appoint AI Governance Manager
Key Tasks	1. Secure executive sponsorship and Board resolution 2. Form AI Steering Committee with named members 3. Appoint AI Governance Manager and Ethics Officer 4. Conduct AI system inventory across all business units 5. Identify immediate high-risk AI use cases requiring urgent attention
Deliverables	AI Governance Charter signed by Board; AI Asset Register v0.1; High-risk use case list
Dependencies	Executive sponsorship; Board meeting schedule; Access to business unit leaders
Owner	CEO / CTO
Success Metrics	Governance body formed; ≥80% of AI systems inventoried; ≥3 high-risk cases identified
Budget Guidance	$50K-$150K (consultant support, inventory tooling, initial training)
Common Pitfalls	Insufficient executive time commitment; incomplete inventory due to shadow AI; failure to identify high-risk cases

Phase 2: Assessment (Days 31-60)

Element	Detail
Objectives	Complete risk assessment, gap analysis against framework, develop remediation plan
Key Tasks	1. Conduct AI Risk Assessment for all inventoried systems 2. Perform gap analysis against all 12 volumes 3. Benchmark current maturity against Governance Maturity Model 4. Develop remediation roadmap with priorities and timelines 5. Initiate vendor security assessments for third-party AI
Deliverables	AI Risk Assessment Report; Gap Analysis; Remediation Roadmap; Vendor Assessment Results
Dependencies	Complete AI Asset Register; Access to risk data; Vendor cooperation
Owner	CRO / AI Governance Manager
Success Metrics	100% of inventoried systems risk-assessed; Gap analysis covers all 12 volumes; Remediation plan approved
Budget Guidance	$75K-$200K (risk assessment tooling, external audit support, consultant fees)
Common Pitfalls	Underestimating third-party risk; incomplete risk data; scope creep in assessment

Phase 3: Framework Development (Days 61-90)

Element	Detail
Objectives	Develop and approve all policies, standards, and templates
Key Tasks	1. Draft Corporate AI Policy (Volume 2) 2. Develop AI Risk Management Framework (Volume 3) 3. Create Data Governance Standards (Volume 4) 4. Establish Security Framework (Volume 5) 5. Build Incident Response Plan (Volume 6) 6. Develop all corporate templates (Volume 9)
Deliverables	Approved AI Policy; Risk Framework; Data Governance Standards; Security Standards; Incident Response Plan; Template Library
Dependencies	Gap analysis complete; Legal review capacity; Steering Committee availability
Owner	AI Governance Manager / Chief Legal Officer
Success Metrics	All core policies approved by Steering Committee; Templates published; Staff training scheduled
Budget Guidance	$100K-$300K (policy development, legal review, template design, training development)
Common Pitfalls	Over-engineering policies; insufficient stakeholder consultation; delayed legal review

Phase 4: Implementation (Days 91-180)

Element	Detail
Objectives	Deploy controls, integrate into development processes, establish operations
Key Tasks	1. Implement development standards and SDLC (Volume 7) 2. Deploy monitoring and operations framework (Volume 8) 3. Execute remediation plan for high-risk systems 4. Conduct incident response drills 5. Roll out training programme to all relevant staff 6. Establish AI Operations team and tooling
Deliverables	SDLC implemented; Monitoring dashboards live; High-risk remediations complete; Training completions ≥80%; Operations team operational
Dependencies	Approved policies; Development team capacity; Tooling procurement
Owner	CTO / CIO
Success Metrics	All new AI projects follow SDLC; Monitoring covers ≥90% of production AI; Training completion rate ≥80%
Budget Guidance	$200K-$750K (MLOps tooling, monitoring platforms, training delivery, additional headcount)
Common Pitfalls	Development team resistance; tooling integration challenges; insufficient training reach

Phase 5: Maturity (Year 1)

Element	Detail
Objectives	Achieve operational excellence, complete internal audit, prepare for external certification
Key Tasks	1. Conduct first full internal audit of AI governance programme 2. Achieve Level 3 on Governance Maturity Model 3. Complete first annual management review 4. Pursue ISO/IEC 42001 readiness assessment 5. Refine policies based on operational experience 6. Expand AI governance to subsidiary entities
Deliverables	Internal Audit Report; Maturity Level 3 certification; Annual Management Review; ISO 42001 readiness report
Dependencies	6 months operational data; Internal Audit resource; External assessor engagement
Owner	Head of Internal Audit / AI Governance Manager
Success Metrics	Internal audit finds ≤5 major non-conformities; Maturity Level 3 achieved; ISO 42001 gap closure ≥80%
Budget Guidance	$150K-$400K (internal audit, external assessment, policy refinement, subsidiary rollout)
Common Pitfalls	Complacency after initial success; audit scope too narrow; delayed external assessment

Phase 6: Excellence (Year 2)

Element	Detail
Objectives	Achieve external certification, continuous improvement embedded, industry leadership
Key Tasks	1. Achieve ISO/IEC 42001 certification 2. Achieve Level 4-5 on Governance Maturity Model 3. Publish annual AI Transparency Report 4. Contribute to industry standards bodies 5. Implement advanced AI monitoring and automated governance controls 6. Continuous improvement programme fully operational
Deliverables	ISO/IEC 42001 Certificate; Maturity Level 4-5; Public Transparency Report; Industry contributions; Automated governance platform
Dependencies	Year 1 maturity achievements; Certification body engagement; Budget approval
Owner	CEO / Board of Directors
Success Metrics	ISO 42001 certification achieved; Maturity Level 4+; Transparency Report published; Industry recognition
Budget Guidance	$200K-$500K (certification fees, advanced tooling, public reporting, industry engagement)
Common Pitfalls	Underestimating certification rigour; losing momentum; insufficient external engagement

Lessons Learned

Organisations that succeed in AI governance implementation treat it as a strategic transformation programme, not a compliance checkbox. Executive sponsorship must remain active throughout all phases. The most common failure mode is treating Phase 1-3 as sufficient and neglecting operational discipline in Phases 4-6.