If you are an AI Governance Lead or Compliance Officer at a global retail enterprise, this playbook was built for you.
As organizations deploy agentic and generative AI across customer experience, inventory forecasting, and point-of-sale automation, regulatory scrutiny is intensifying. You are under pressure to demonstrate adherence to evolving AI governance standards while managing complex multi-cloud SaaS environments. Auditors now expect documented risk assessments, model inventories, and ethical use controls. Without a structured framework, your team risks non-compliance, reputational damage, and operational delays during external reviews.
Traditional consulting routes cost between EUR 80,000 and EUR 250,000 through major advisory firms. Building an internal solution requires 3 full-time staff over 6 months to develop policies, evidence workflows, and audit readiness materials. This playbook delivers the same rigor and structure for a one-time cost of $395.
What you get
| Phase | File Type | Description | Count |
| Assess & Plan | Domain Risk Assessment | 30-question evaluation covering governance, data provenance, model transparency, adversarial robustness, human oversight, third-party AI risk, and lifecycle monitoring | 7 |
| Implement | Evidence Collection Runbook | Step-by-step guide to gather and organize evidence for each control across NIST AI RMF and ISO/IEC 42001 requirements | 1 |
| Implement | Audit Preparation Playbook | Checklist and timeline for internal and external audits, including mock review scenarios and auditor Q&A prep | 1 |
| Operate | RACI Template | Pre-defined responsibility matrix for AI governance roles across legal, IT, data science, and compliance teams | 1 |
| Operate | Work Breakdown Structure (WBS) | Hierarchical task list for deploying and maintaining AI governance across retail-specific use cases | 1 |
| Map & Align | Cross-Framework Mapping Matrix | Detailed alignment between NIST AI RMF, ISO/IEC 42001, and SOC 2 AI-specific criteria | 1 |
| Assess & Plan | Sample Chapter | The 30-Question Agentic AI Risk Assessment Workbook for Enterprise Deployment (PDF) | 1 |
| Total | 64 files |
Domain assessments
1. Governance & Accountability: Evaluates the existence of AI oversight committees, escalation pathways, and documented decision rights across business units.
2. Data Provenance & Integrity: Assesses controls for data sourcing, lineage tracking, and integrity validation in training and inference pipelines.
3. Model Transparency & Explainability: Measures the availability of model documentation, interpretability methods, and disclosure practices for internal and external stakeholders.
4. Adversarial Robustness & Security: Reviews defenses against model evasion, data poisoning, and prompt injection attacks in production environments.
5. Human Oversight & Control: Determines the presence of human-in-the-loop mechanisms, exception handling, and override capabilities for high-risk decisions.
6. Third-Party AI Risk: Examines due diligence processes for vendor AI models, SaaS integrations, and API-based AI services.
7. Lifecycle Monitoring & Maintenance: Checks for performance drift detection, retraining schedules, and decommissioning protocols for AI systems.
What this saves you
| Activity | Time with Internal Team | Time with This Playbook |
| Develop risk assessment framework | 120 hours | 4 hours (adapt templates) |
| Map controls across NIST AI RMF and ISO/IEC 42001 | 80 hours | 2 hours (use included matrix) |
| Prepare for SOC 2 AI review | 160 hours | 18 hours (follow audit playbook) |
| Establish RACI for AI governance | 40 hours | 3 hours (customize template) |
| Build evidence collection process | 100 hours | 6 hours (execute runbook) |
| Total Estimated Savings | 500 hours | 33 hours |
Who this is for
- AI Governance Leads responsible for establishing enterprise-wide AI risk policies
- Compliance Officers in retail organizations managing regulatory exposure from AI-driven customer interactions
- Chief Information Security Officers overseeing AI system security in multi-cloud environments
- Privacy Officers ensuring AI applications comply with data protection regulations
- IT Risk Managers tasked with integrating AI risk into existing GRC programs
- Legal Counsel advising on contractual and liability implications of third-party AI tools
- Operations Directors implementing AI in point-of-sale, inventory, and supply chain systems
Cross-framework mappings
This playbook includes full control mappings between:
• NIST AI Risk Management Framework (AI RMF 1.0)
• ISO/IEC 42001:2023 Artificial Intelligence Management System
• SOC 2 Trust Services Criteria with AI-specific implementation guidance
• EU AI Act High-Risk Classification criteria (for reference)
• NIST Privacy Framework (mapping to AI use cases)
• COBIT 2019 (AI governance process alignment)
• CIS Critical Security Controls v8 (AI system hardening)
What is NOT in this product
- Custom consulting services or one-on-one implementation support
- Software tools, platforms, or code for automated AI monitoring
- Legal advice or regulatory interpretation tailored to your jurisdiction
- Training sessions, webinars, or certification programs
- Updates for future versions of NIST AI RMF or ISO/IEC 42001
- Pre-filled templates with your organization's data or policies
- Integration with GRC platforms or ticketing systems
Lifetime access and satisfaction guarantee
You receive lifetime access to the playbook with no subscription and no login portal. The files are yours to download and use indefinitely. 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
For 25 years, we have developed practical governance tools used by practitioners in 160 countries. Our library supports 692 compliance and risk frameworks, underpinned by 819,000+ cross-framework mappings. Over 40,000 professionals in financial services, healthcare, retail, and technology rely on our playbooks to streamline audit readiness and risk management.
>
