Generative AI Governance and Implementation Playbook for Manufacturing Enterpris
64 professional files (6 PDFs + 58 Excel workbooks) | 349+ spreadsheet tabs | 2,730+ rows of structured content | 11 organised folders
AI governance is no longer optional. Regulators, boards, and customers now expect documented controls across the entire model lifecycle, from use case selection through retirement. Most organisations have policies on paper but struggle to operationalise them: unclear ownership, inconsistent risk tiering, thin monitoring, and gaps between data, model, and product teams create exposure that only surfaces during an incident or audit.
WHAT YOU GET: A THREE-PHASE JOURNEY
Phase 1: Diagnose. Seven domain assessments (30 questions each, 210 total) score your maturity across AI Governance Framework, Data Strategy and Stewardship, Model Development Lifecycle, and related areas. You can complete the Quick Scan diagnostic in under an hour and know exactly where the biggest gaps and opportunities sit.
Phase 2: Set Goals. Five PM template workbooks with roadmaps, RACI matrices, milestone trackers, risk registers, and stakeholder communication plans. These lock in scope, timeline, and accountability before a single line of implementation work starts, which is consistently where programmes succeed or stall.
Phase 3: Implement. Nine operational runbooks and checklists covering deployment, vendor and third-party handling, day-to-day operations, and governance reviews. Every runbook is built to be followed by a working team, not read and filed. Pro tips, example rows, and common-mistake callouts give you the benefit of hard-won practitioner experience from the first day.
7 DOMAIN ASSESSMENTS (210 QUESTIONS)
• AI Governance Framework
• Data Strategy and Stewardship
• Model Development Lifecycle
• Ethical AI and Bias Mitigation
• Human AI Collaboration
• Cybersecurity and System Integrity
• Integration and Scalability
9 OPERATIONAL RUNBOOKS
• AI Ethics Review Board Operations Checklist
• AI Governance Runbook for Model Deployment
• AI Model Retraining and Update Workflow
• AI System Integration Checklist for ERP MES
• Data Provenance and Lineage Tracking Protocol
• Generative AI Use Case Prioritization Framework
• Human in the Loop Operational Handoff Protocol
• Plant Operator AI Literacy Training Guide
• Vendor Evaluation Matrix for Generative AI Solutions
The full kit also includes a practitioner-grade library of PM forms spanning all five PMBOK process groups, KPI dashboards, risk and compliance registers, and reference cards. Every template comes pre-populated with domain-specific example data so your team can start editing, not staring at blank rows. You get a consistent operating system across diagnostic, planning, delivery, and sustainment, which is how mature programmes compound improvement year over year.
WHO THIS IS FOR: Chief AI Officers, AI risk and compliance leads, model governance teams, and consultants running AI assurance engagements.
Aligned with leading industry standards and PMBOK project management practice.
Instant download. Start your first assessment within the hour.
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Source: Best Practices in GenAI Excel: Generative AI Governance & for Manufacturing Playbook Excel (XLSX) Spreadsheet, Gerard Blokdijk
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