If you are an AI Governance Lead at a large enterprise technology services organization, this playbook was built for you.
As AI systems grow more autonomous and deeply embedded into core operations, your ability to maintain oversight, enforce accountability, and demonstrate compliance is under increasing scrutiny. You are expected to govern not just static models but dynamic AI agents that make decisions, invoke tools, and interact with enterprise systems with minimal human intervention. Regulatory bodies and internal audit teams now demand structured risk assessments, documented controls, and clear lines of ownership, especially when AI impacts client data, service delivery, or financial reporting.
The pressure to act is intensifying. Regulators are advancing AI-specific guidance, and clients are requiring evidence of responsible AI practices in procurement reviews. At the same time, your team lacks standardized templates, repeatable assessment workflows, and cross-framework alignment to scale governance across hundreds of AI deployments. Without a formalized approach, you risk inconsistent evaluations, audit findings, and operational failures in high-impact AI workflows.
Engaging external consultants to build a custom AI governance framework can cost between EUR 80,000 and EUR 250,000 depending on scope and jurisdiction. Alternatively, dedicating internal resources requires at least three full-time equivalents over four to six months to research, draft, test, and socialize policies, assessment tools, and audit documentation. This playbook delivers the same outcome at a fraction of the cost: a complete, field-tested implementation of the NIST AI Risk Management Framework tailored to enterprise-scale AI governance, available for $395.
What you get
| Phase | File Type | Description | Quantity |
| Assessment | Domain Assessment Workbook | Structured 30-question assessment per NIST AI RMF governance domain, with scoring guidance, risk tiering, and evidence prompts | 7 |
| Assessment | AI Agent Risk Assessment Sample | 30-question workbook focused on agentic AI behaviors, including tool use, memory persistence, and autonomous decision-making | 1 |
| Evidence & Control | Evidence Collection Runbook | Step-by-step instructions for gathering technical logs, model cards, deployment records, and access controls to substantiate AI governance claims | 1 |
| Audit Readiness | Audit Preparation Playbook | Checklist-driven guide for responding to internal and external audits, including SOC 2 examiner expectations and evidence packaging | 1 |
| Governance Structure | RACI Matrix Template | Pre-built responsibility assignment matrix for AI governance roles including data stewards, model owners, security leads, and compliance officers | 1 |
| Governance Structure | Work Breakdown Structure (WBS) | Hierarchical task list for launching an AI governance program, from initial scoping to continuous monitoring cycles | 1 |
| Alignment & Mapping | Cross-Framework Mapping Matrix | Detailed alignment between NIST AI RMF, ISO/IEC 42001, COBIT 2019, and SOC 2 Trust Services Criteria for AI systems | 1 |
| Total Files | 64 |
Domain assessments
The playbook includes seven domain-specific assessment workbooks, each containing 30 targeted questions, risk scoring logic, and evidence requirements aligned to the NIST AI RMF:
- Organizational Governance: Evaluates the maturity of policies, oversight structures, and accountability mechanisms for AI systems across the enterprise.
- AI Risk Identification: Assesses processes for discovering, categorizing, and prioritizing risks associated with AI agent behaviors and autonomous workflows.
- Impact Assessment: Guides teams through evaluating potential harms to individuals, operations, and business continuity from AI decisions.
- Technical Risk Controls: Reviews implementation of safeguards such as input validation, anomaly detection, and fail-safe mechanisms in AI agents.
- Monitoring & Logging: Examines capabilities for tracking AI agent actions, decision provenance, and system interactions in production environments.
- Organizational Governance: Evaluates the maturity of policies, oversight structures, and accountability mechanisms for AI systems across the enterprise.
- AI Risk Identification: Assesses processes for discovering, categorizing, and prioritizing risks associated with AI agent behaviors and autonomous workflows.
- Impact Assessment: Guides teams through evaluating potential harms to individuals, operations, and business continuity from AI decisions.
- Technical Risk Controls: Reviews implementation of safeguards such as input validation, anomaly detection, and fail-safe mechanisms in AI agents.
- Monitoring & Logging: Examines capabilities for tracking AI agent actions, decision provenance, and system interactions in production environments.
- Human Oversight & Intervention: Measures the effectiveness of human-in-the-loop protocols, escalation paths, and override capabilities for high-risk AI decisions.
- Incident Response & Recovery: Assesses preparedness for AI-related incidents including model drift, unauthorized tool access, and unintended agent behavior.
- AI Governance Leads responsible for establishing enterprise-wide policies and oversight for AI systems.
- Chief Information Security Officers (CISOs) needing to extend security controls to autonomous AI workflows.
- Compliance Directors managing regulatory expectations for AI use in client-facing services.
- Internal Audit Managers preparing to assess AI risk management practices across business units.
- Privacy Officers ensuring AI agent interactions comply with data protection regulations.
- Risk Managers integrating AI-related risks into enterprise risk registers.
- Technology Control Owners accountable for SOC 2 compliance in AI-enabled platforms.
- NIST AI Risk Management Framework (AI RMF 1.0)
- ISO/IEC 42001:2023 , Artificial Intelligence Management System
- COBIT 2019 , Governance and Management Objectives for AI systems
- SOC 2 Trust Services Criteria (Security, Availability, Processing Integrity, Confidentiality, Privacy)
- This is not a software tool or SaaS platform. It does not include automated scanning, monitoring, or AI system integration.
- No legal advice is provided. The templates are for informational and operational use only and must be reviewed by legal counsel.
- The playbook does not cover model development, training data curation, or MLOps engineering practices.
- It does not include industry-specific use case libraries beyond general enterprise technology services applications.
- There are no certifications, training courses, or official NIST endorsements associated with this product.
- This is not a replacement for internal policy development. It is a foundation to accelerate your own governance program.
Domain assessments
The playbook includes seven domain-specific assessment workbooks, each containing 30 targeted questions, risk scoring logic, and evidence requirements aligned to the NIST AI RMF:
What this saves you
| Activity | Without This Playbook | With This Playbook |
| Develop AI governance assessment templates | 60, 100 hours of internal legal, compliance, and technical staff time | Download and customize pre-built workbooks (under 5 hours) |
| Map NIST AI RMF to ISO/IEC 42001 and SOC 2 | 30+ hours of cross-functional research and alignment workshops | Use included cross-framework matrix (ready to implement) |
| Prepare for AI system audit | Ad hoc evidence collection, inconsistent formatting, rework | Follow evidence runbook and audit prep playbook (standardized output) |
| Define roles for AI governance | Months of stakeholder negotiation and role clarification | Adopt RACI template and WBS to accelerate rollout |
| Assess agentic AI risk | No standardized tooling; inconsistent risk scoring | Apply 30-question AI Agent Risk Assessment Workbook across deployments |
Who this is for
Cross-framework mappings
This playbook provides direct, line-item mappings between the NIST AI Risk Management Framework and the following standards and control frameworks:
What is NOT in this product
Lifetime access and satisfaction guarantee
You receive lifetime access to all 64 files with no subscription required and no login portal to manage. The materials are delivered as downloadable files, and you retain full rights to use them across your organization. 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 spent 25 years building practical compliance frameworks for regulated industries, with deep expertise in AI, cybersecurity, and operational risk. Over that time, they have analyzed 692 regulatory and standards frameworks and built 819,000+ cross-framework mappings used by 40,000+ practitioners across 160 countries. Their work focuses on translating complex requirements into actionable tools for governance teams operating in high-compliance environments.
Need this for your team? We offer site licenses starting at $2,500 for up to 25 users. Reply to this page or DM Gerard directly on LinkedIn.
>
