If you are a compliance lead or risk officer at an AI and automation services firm, this playbook was built for you.
As organizations increasingly deploy generative AI and intelligent automation solutions across global delivery models, regulatory scrutiny has intensified around data governance, model integrity, and offshore security practices. You are under pressure to demonstrate alignment with international standards while managing complex client audits, evolving AI risk expectations, and third-party delivery risks. The absence of structured frameworks for AI-specific controls creates gaps in accountability, traceability, and evidence collection. With ISO 27001 certification often a contractual prerequisite and the NIST AI Risk Management Framework becoming a de facto benchmark for responsible AI, your team must act with precision and speed.
Engaging external consultants from major audit firms to design a compliant AI governance structure typically costs between EUR 80,000 and EUR 250,000. Alternatively, dedicating 2 to 3 internal compliance or risk specialists for 4 to 6 months to develop policies, assessments, and evidence workflows results in significant opportunity cost and delayed project timelines. This playbook delivers the same foundational structure, control mappings, and implementation tooling for a one-time cost of $395.
What you get
| Phase | File Type | Description | Count |
| Assessment & Gap Analysis | Domain Assessment Workbook | 30-question evaluation per domain covering technical, procedural, and governance controls for AI/ML systems and offshore delivery environments | 7 |
| Evidence Collection | Evidence Runbook | Step-by-step instructions for gathering, labeling, storing, and presenting evidence required for ISO 27001 and NIST AI RMF audits | 1 |
| Audit Preparation | Audit Prep Playbook | Checklist-driven guide to preparing for certification audits, including mock audit scenarios, auditor Q&A preparation, and documentation review cycles | 1 |
| Implementation Planning | RACI Matrix Template | Pre-built responsibility assignment chart tailored to AI solution development, model deployment, and offshore operations | 1 |
| Implementation Planning | Work Breakdown Structure (WBS) Template | Hierarchical task list for executing compliance activities across teams and delivery phases | 1 |
| Cross-Reference & Alignment | Cross-Framework Mapping Matrix | Detailed alignment table linking ISO 27001:2022 clauses, NIST AI RMF functions, and NIST CSF categories | 1 |
| Supplemental Tools | Sample Chapter: AI/ML Model Security & Data Governance Assessment | 30-question workbook excerpt demonstrating full-domain assessment format and depth | 1 |
| Total Files Included | 64 | ||
Domain assessments
Each of the seven domain assessments contains 30 targeted questions designed to evaluate control maturity across critical areas of AI and automation risk governance:
- Data Governance for AI Systems: Evaluates data provenance, classification, consent management, and privacy-preserving techniques applied to training and inference data.
- Model Development Lifecycle Controls: Assesses versioning, reproducibility, testing protocols, bias detection, and documentation practices across model design and training phases.
- AI System Security Configuration: Reviews access controls, encryption, API security, and runtime protection mechanisms for deployed models and automation workflows.
- Third-Party and Offshore Delivery Risk: Examines vendor due diligence, subcontractor oversight, data residency compliance, and secure communication protocols in distributed delivery models.
- Incident Response and Anomaly Monitoring: Tests detection, escalation, and remediation capabilities specific to AI-driven system failures, adversarial attacks, and model drift.
- Human Oversight and Decision Accountability: Measures processes for human-in-the-loop validation, explainability reporting, and audit trails for automated decisions.
- Compliance and Certification Readiness: Verifies alignment with ISO 27001 requirements and NIST AI RMF governance functions, including policy coverage and evidence availability.
What this saves you
| Activity | Without This Playbook | With This Playbook |
| Develop assessment questionnaires | 200+ hours of internal effort to draft, validate, and align questions across frameworks | 7 ready-to-use 30-question workbooks included |
| Map controls across ISO 27001 and NIST AI RMF | Manual cross-walking requiring legal and technical coordination over weeks | Pre-built mapping matrix with explicit control alignments |
| Prepare for certification audit | Ad hoc evidence collection leading to gaps and rescheduling | Structured runbook and audit prep guide reduces preparation time by 60% |
| Assign implementation responsibilities | Unclear ownership delays execution and increases rework | Pre-configured RACI and WBS templates clarify roles from day one |
| Ensure offshore delivery compliance | High risk of non-compliance due to inconsistent regional practices | Domain-specific assessment explicitly addresses offshore delivery risks |
Who this is for
- Compliance leads at AI and automation services providers preparing for ISO 27001 certification
- Risk officers responsible for implementing NIST AI RMF governance in client-facing AI products
- Information security managers overseeing data protection in offshore development centers
- AI governance specialists building internal control frameworks for generative AI deployments
- Delivery managers ensuring compliance alignment across distributed engineering teams
- Legal and privacy advisors needing structured inputs for AI risk assessments
- Internal auditors evaluating AI system controls against international standards
Cross-framework mappings
This playbook provides explicit control mappings across the following frameworks:
- ISO/IEC 27001:2022 Information Security Management
- NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0)
- NIST Cybersecurity Framework (CSF) Version 1.1
What is NOT in this product
- This playbook does not include legal advice or regulatory interpretation services
- It does not provide automated compliance scanning tools or software integrations
- No consulting hours or implementation support are included with purchase
- The templates are not pre-filled with organizational data or client-specific configurations
- It does not cover SOC 2, GDPR, or HIPAA compliance in detail beyond overlap with included frameworks
- No certification body engagement or audit submission services are provided
- The content is not tailored to financial services, healthcare, or government sector regulations outside AI and information security domains
Lifetime access and satisfaction guarantee
You receive lifetime access to the playbook files with no subscription, no login portal, and no recurring fees. All materials are delivered as downloadable documents. 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 direct involvement in implementing and assessing controls across 692 regulatory, industry, and technical frameworks. Their research includes 819,000+ cross-framework control mappings used by over 40,000 practitioners in 160 countries to streamline compliance operations and reduce audit risk.
