If you are leading AI governance at a global enterprise, this playbook was built for you.
As an AI governance lead in a large organization, you are under increasing pressure to demonstrate compliance with multiple, overlapping AI risk and management standards. Regulatory bodies expect structured oversight of AI systems, yet the frameworks differ in language, structure, and implementation expectations. You must reconcile U.S. federal guidance, international standards, and regional regulations, often with limited internal expertise and tight audit timelines. Without a unified approach, your team risks duplicative work, inconsistent controls, and exposure during external reviews.
Traditional consulting routes involve engagements with major audit firms that charge between EUR 80,000 and EUR 250,000 for similar alignment work. Alternatively, building this capability in-house would require dedicating 3 to 5 full-time compliance or risk specialists for 4 to 6 months, pulling them from other strategic initiatives. This playbook delivers the same structured methodology and cross-framework integration for a one-time cost of $395.
What you get
| Phase | File Type | Description | Quantity |
| Assessment | Domain Assessment Workbook | 30-question evaluation per domain covering NIST AI RMF, ISO/IEC 42001, and EU AI Act alignment points | 7 |
| Planning | RACI Template | Role and responsibility matrix for AI governance activities across functions | 1 |
| Planning | Work Breakdown Structure (WBS) | Hierarchical task list for implementing cross-framework AI controls | 1 |
| Implementation | Evidence Collection Runbook | Step-by-step instructions for gathering, labeling, and storing evidence that satisfies multiple frameworks simultaneously | 1 |
| Implementation | Cross-Framework Mapping Matrix | Detailed control-by-control alignment between NIST AI RMF, ISO/IEC 42001, and EU AI Act requirements | 1 |
| Audit | Audit Preparation Playbook | Checklist and rehearsal guide for internal and external AI compliance audits | 1 |
| Reference | Sample Chapter | 30-question AI governance control mapping workbook demonstrating integration across all three frameworks | 1 |
| Total Files Included | 64 | ||
Domain assessments
Each of the seven domain assessments evaluates your organization's current posture across key AI governance areas, using 30 targeted questions aligned to all applicable controls in NIST AI RMF, ISO/IEC 42001, and EU AI Act. The domains are:
- Organizational Governance: Assesses policies, oversight structures, and accountability mechanisms for AI system management.
- AI Risk Identification: Evaluates processes for discovering, categorizing, and prioritizing AI-related risks across the lifecycle.
- Control Design and Implementation: Reviews the adequacy and deployment of technical and procedural safeguards for high-risk AI systems.
- Data and Model Management: Measures maturity in data provenance, model versioning, bias detection, and documentation practices.
- Transparency and Explainability: Tests the organization's ability to provide meaningful explanations of AI behavior to stakeholders.
- Monitoring and Incident Response: Examines real-time monitoring, anomaly detection, and response protocols for AI system failures.
- Third-Party and Supply Chain Oversight: Verifies due diligence and contractual controls for external AI vendors and hosted models.
What this saves you
| Alternative Approach | Time Required | Cost | Risk of Misalignment |
| Big-4 consulting engagement | 4, 6 months | EUR 80,000, 250,000 | Low, but dependent on team continuity |
| Internal development (3, 5 FTEs) | 5, 7 months | $180,000, $300,000 in labor | Moderate to high due to knowledge gaps |
| Using fragmented templates from public sources | 6+ months with rework | $10,000, $50,000 in opportunity cost | High due to inconsistent interpretation |
| This playbook | 4, 8 weeks with existing team | $395 one-time | Low, with built-in consistency checks |
Who this is for
- Chief AI Officers responsible for enterprise-wide AI strategy and compliance
- Head of AI Risk or AI Ethics leading governance program implementation
- Compliance Directors overseeing alignment with international standards and regulations
- Privacy Officers integrating AI governance into data protection programs
- Internal Audit Leads preparing for AI system reviews
- Legal Counsel advising on regulatory exposure from AI deployments
- Technology Governance Managers coordinating cross-functional AI control rollout
Cross-framework mappings
This playbook provides direct, line-item mappings between the following frameworks:
- NIST AI Risk Management Framework (AI RMF 1.0)
- ISO/IEC 42001:2023 Artificial Intelligence Management System
- European Union Artificial Intelligence Act (AI Act) , High-Risk System Requirements
- NIST AI RMF to ISO/IEC 42001:2023 control equivalency table
- ISO/IEC 42001:2023 to EU AI Act compliance mapping
- NIST AI RMF to EU AI Act alignment for risk classification and mitigation
- Integrated control set for unified policy and procedure development
What is NOT in this product
- This is not a software tool or SaaS platform; it is a collection of editable documentation templates and assessment workbooks.
- No automated scanning, monitoring, or AI system testing capabilities are included.
- It does not provide legal advice or certification services.
- The playbook does not cover sector-specific AI use cases such as medical device AI or autonomous vehicles in depth.
- There are no pre-filled responses or organization-specific data in any template.
- It does not include training sessions, consulting hours, or support contracts.
- No integration with GRC platforms is provided out of the box, though templates are exportable to common formats.
Lifetime access and satisfaction guarantee
You receive lifetime access to the playbook with no subscription and no login portal. The files are delivered as downloadable documents that you own outright. If this playbook does not save your team at least 100 hours of manual compliance work, email us for a full refund. No questions, no friction.
About the seller
The creator has 25 years of experience in regulatory compliance and risk management, with deep specialization in cross-jurisdictional standards alignment. They have analyzed 692 regulatory and industry frameworks and built 819,000+ cross-framework mappings to support scalable compliance programs. Their resources are used by 40,000+ practitioners across 160 countries, focusing on practical, implementation-ready tools for complex governance challenges.
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