Enterprise AI Implementation and Governance Playbook
64 professional files (6 PDFs + 58 Excel workbooks) | 349+ spreadsheet tabs | 2,730+ rows of structured content | 11 organised folders
Most enterprise AI initiatives stall not because the technology fails, but because the organisation lacks a structured approach to governance, risk alignment, and cross-functional coordination. This playbook gives you the complete operational toolkit to move from AI strategy through to production deployment, with governance guardrails built in from Day 1.
WHAT YOU GET: A THREE-PHASE JOURNEY
Phase 1: Diagnose. Seven domain assessments (30 questions each, 210 total) score your AI maturity across strategy, data readiness, model governance, ethical AI, infrastructure, talent, and operational integration.
Phase 2: Set Goals. Five PM template workbooks with roadmaps, RACI matrices, milestone trackers, risk registers, and stakeholder communication plans.
Phase 3: Implement. Nine operational runbooks and checklists covering model validation, production monitoring, vendor evaluation, responsible AI impact assessments, and more.
7 DOMAIN ASSESSMENTS (210 QUESTIONS)
• AI Strategy and Business Alignment
• Data Readiness and Pipeline Architecture
• Model Development and Validation (aligned to NIST AI RMF, ISO/IEC 42001)
• AI Ethics, Fairness, and Transparency
• AI Governance and Risk Management
• Infrastructure and Scalability
• Talent, Culture, and Organisational Readiness
9 OPERATIONAL RUNBOOKS
• AI Use Case Prioritisation and Business Case Template
• Model Risk Tiering and Governance Classification Matrix
• Production Model Monitoring and Drift Detection Checklist
• AI Vendor and Third-Party Model Evaluation Scorecard
• Responsible AI Impact Assessment Workflow
• Data Quality Validation and Feature Engineering Checklist
• AI Governance Committee Charter and Operating Procedures
• Model Documentation and Audit Trail Template (SR 11-7, ISO 42001)
• AI Incident Response and Escalation Runbook
WHO THIS IS FOR: Chief AI Officers, Chief Data Officers, Risk and Compliance Leaders, IT Directors, Management Consultants, and Internal Audit Teams.
Aligned with NIST AI RMF 1.0, ISO/IEC 42001, OECD AI Principles, IEEE 7000 series, and the EU AI Act risk classification tiers.
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Source: Best Practices in Artificial Intelligence, Agentic AI Excel: Enterprise AI Implementation and Governance Playbook Excel (XLSX) Spreadsheet, Gerard Blokdijk
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