If you are a compliance lead, AI governance officer, or risk architect at a technology enterprise deploying generative AI, this playbook was built for you.
As organizations move large language models from proof-of-concept to production, regulatory scrutiny is intensifying. You are expected to demonstrate documented risk controls, ethical AI practices, and alignment with emerging standards, without slowing innovation. The absence of structured governance increases exposure to regulatory penalties, reputational damage, and operational failure. Internal teams struggle to interpret fragmented guidance across NIST, ISO, and regional regulations while maintaining alignment with engineering timelines and security requirements.
Developing an AI compliance framework in-house typically requires engagement with a Big-4 advisory firm at a cost between EUR 80,000 and EUR 250,000. Alternatively, dedicating 2 to 3 full-time compliance and risk specialists for 4 to 6 months to research, document, and operationalize controls yields inconsistent results and delays deployment. This playbook delivers the same rigor and structure at a fraction of the cost: $395 one time.
What you get
| Phase | File Type | Description | Count |
| Risk Assessment | Domain Assessment Workbook | 30-question evaluation per domain, mapped to NIST AI RMF Core Functions (Map, Measure, Manage, Govern), with scoring guidance and risk tiering | 7 |
| Evidence Collection | Runbook | Step-by-step instructions for gathering technical, procedural, and policy evidence across model development, data pipelines, and deployment environments | 1 |
| Audit Preparation | Playbook | Checklist-driven process for responding to internal and external audit requests, including evidence mapping, gap remediation, and auditor communication protocols | 1 |
| Governance | RACI Template | Predefined responsibility matrix for AI system roles: data scientists, ML engineers, legal, compliance, security, and product owners | 1 |
| Project Management | WBS Template | Work breakdown structure for AI compliance initiatives, segmented by phase, deliverable, and ownership | 1 |
| Cross-Alignment | Cross-Framework Mapping Matrix | Detailed reference table linking NIST AI RMF subcategories to ISO/IEC 42001, SOC 2 for AI Systems, and EU AI Act high-level requirements | 1 |
| Implementation | Guidance Note | Contextual commentary on applying controls in environments using OpenAI APIs, LangChain orchestration, and vector database storage | 56 |
| Total Files | 64 | ||
Domain assessments
1. Data Provenance and Lineage: Evaluates traceability of training and input data, including sourcing, transformation, and retention practices.
2. Model Transparency and Explainability: Assesses documentation of model behavior, decision logic, and methods for generating human-interpretable outputs.
3. Bias Detection and Mitigation: Reviews processes for identifying, measuring, and reducing unfair or discriminatory outcomes across demographic groups.
4. Security and Access Controls: Examines protections for model weights, prompts, embeddings, and vector databases against unauthorized access and injection attacks.
5. System Resilience and Robustness: Tests model performance under edge cases, adversarial inputs, and degradation scenarios.
6. Human Oversight and Interaction: Determines adequacy of human-in-the-loop mechanisms, escalation paths, and user feedback integration.
7. Compliance and Regulatory Alignment: Validates adherence to jurisdictional laws, sector-specific rules, and internal AI usage policies.
What this saves you
| Activity | Without This Playbook | With This Playbook |
| Develop risk assessment framework | 120, 180 hours of research and design | Use pre-built 30-question workbook per domain |
| Map controls across frameworks | Manual comparison of NIST, ISO, SOC 2, EU AI Act (80+ hours) | Leverage ready-to-use cross-framework matrix |
| Prepare for AI system audit | Ad hoc evidence collection, inconsistent formatting | Follow structured runbook with evidence templates |
| Define team responsibilities | Ambiguity leads to gaps in ownership and accountability | Deploy RACI template with defined AI governance roles |
| Plan implementation timeline | Unstructured planning, missed dependencies | Apply WBS template with phased deliverables |
Who this is for
- AI Governance Officers responsible for establishing enterprise-wide policies for generative AI use
- Compliance Managers in technology firms deploying LLM-powered customer service, content generation, or code assistance tools
- Chief Risk Officers overseeing model risk in AI-augmented decision systems
- Security Architects integrating AI components into existing cloud and data infrastructure
- Legal Counsel advising on regulatory exposure from AI-generated content and data usage
- Product Leads managing go-to-market timelines for AI features requiring audit readiness
- Internal Audit Teams preparing to assess AI system controls and documentation
Cross-framework mappings
This playbook provides direct mappings between the NIST AI Risk Management Framework and the following standards:
• NIST AI RMF Core and Subcategories
• ISO/IEC 42001 , Artificial Intelligence Management System
• SOC 2 Trust Services Criteria for AI Systems (Security, Availability, Processing Integrity, Confidentiality, Privacy)
• EU AI Act (high-level alignment to risk classification, transparency obligations, and conformity assessment)
What is NOT in this product
- This is not a software tool or API. It does not integrate directly with your AI stack.
- It does not include custom consulting, legal advice, or certification services.
- No automated risk scoring or dashboarding functionality is provided.
- The templates are not pre-filled with your organization's data or policies.
- It does not cover non-generative AI systems such as computer vision or predictive analytics models.
- Support for real-time monitoring or model performance tracking is outside scope.
- No training sessions, workshops, or certification programs are included.
Lifetime access and satisfaction guarantee
You receive a one-time download of all 64 files with no subscription, no login portal, and no recurring fees. The materials are yours to use, adapt, and distribute internally. 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 specialized in translating regulatory frameworks into actionable compliance tools. Our library includes structured implementations across 692 global and industry-specific standards. We maintain a proprietary database of 819,000+ cross-framework mappings used by 40,000+ practitioners in 160 countries to operationalize governance, risk, and compliance programs.
