If you are a senior operational risk officer at a financial institution, this playbook was built for you.
As institutions integrate artificial intelligence into credit scoring, fraud detection, and trading systems, regulators are intensifying scrutiny on model governance, transparency, and accountability. You are expected to identify, assess, and mitigate AI-specific risks without clear internal standards or mature tooling. Existing operational risk frameworks were not designed for the dynamic behavior of AI systems, creating gaps in monitoring, validation, and escalation protocols. The absence of standardized controls increases exposure to regulatory penalties, reputational damage, and operational failures tied to algorithmic bias, data drift, or model hallucination.
Engaging external consultants to develop an AI risk governance framework typically costs between EUR 80,000 and EUR 250,000 depending on scope and jurisdiction. Alternatively, dedicating internal compliance and risk resources to build this capability from scratch would require at least three full-time equivalents over six months, delaying time to compliance and increasing opportunity cost. This playbook delivers a fully structured, field-tested implementation methodology for $395, enabling immediate progress against regulatory expectations.
What you get
| Phase | File Type | Description | Count |
| Assessment | Domain Assessment | 30-question evaluation covering one of seven AI risk domains, mapped to NIST AI RMF Core Functions | 7 |
| Assessment | Self-Assessment Workbook | Editable spreadsheet for 2nd line risk teams to score AI risk maturity across all domains | 1 |
| Evidence | Evidence Collection Runbook | Step-by-step guide for gathering documentation required to demonstrate AI risk controls to auditors | 1 |
| Audit | Audit Preparation Playbook | Checklist and timeline for preparing internal and external audits of AI systems | 1 |
| Governance | RACI Template | Pre-built responsibility assignment matrix for AI risk roles across business, risk, legal, and technology units | 1 |
| Planning | Work Breakdown Structure (WBS) | Hierarchical task list for implementing AI risk controls across model lifecycle stages | 1 |
| Mapping | Cross-Framework Mapping Matrix | Comprehensive alignment between NIST AI RMF, ISO/IEC 42001, and COSO ERM components | 1 |
| Reference | Implementation Guide | Best practices for integrating AI risk into existing operational risk frameworks | 1 |
| Reference | Loss Event Repository | Annotated database of 47 real-world AI failures in financial services with root cause analysis | 1 |
| Tools | Risk Heatmap Template | Visual dashboard for tracking AI risk exposure by business unit and model criticality | 1 |
| Tools | Control Testing Scripts | Standardized test cases for validating AI model performance, fairness, and monitoring | 50 |
Domain assessments
Each of the seven domain assessments contains 30 targeted questions to evaluate AI risk maturity across critical governance areas:
- Organizational Governance: Assesses policies, oversight structures, and accountability mechanisms for AI initiatives.
- Data Lifecycle Management: Evaluates controls over training data provenance, quality, labeling, and bias mitigation.
- Model Development: Reviews processes for model design, documentation, validation, and version control.
- System Deployment: Examines change management, access controls, and integration risks in production environments.
- Monitoring and Incident Response: Tests capabilities for detecting model drift, performance degradation, and response protocols.
- Third-Party Risk: Analyzes due diligence, contract terms, and oversight of external AI vendors and APIs.
- Explainability and Transparency: Measures adherence to requirements for model interpretability and stakeholder communication.
What this saves you
| Activity | Traditional Approach | With This Playbook |
| Develop AI risk assessment criteria | 6, 8 weeks of internal working group meetings and consultant workshops | Use pre-built 30-question domain assessments (ready in 1 day) |
| Map controls to NIST AI RMF | Manual cross-walk requiring legal and compliance review (3+ weeks) | Leverage included cross-framework mapping matrix (5 hours) |
| Prepare for internal audit | Ad hoc evidence collection, often incomplete or delayed | Follow evidence runbook with defined artifacts and owners |
| Assign AI risk responsibilities | Prolonged debate over ownership between risk, tech, and legal | Deploy RACI template with pre-defined roles and escalation paths |
| Test AI model controls | Custom script development per model (10, 20 hours each) | Apply 50 standardized control testing scripts across multiple models |
Who this is for
- Second line operational risk officers responsible for model risk oversight
- Chief risk officers establishing AI governance standards across the enterprise
- Compliance managers aligning AI practices with regulatory expectations
- Internal auditors evaluating AI control environments
- Technology risk leads integrating AI into secure development lifecycles
- Legal and ethics teams assessing AI accountability and disclosure obligations
- Board risk committees seeking structured reporting on AI exposure
Cross-framework mappings
This playbook provides explicit alignments between the NIST AI Risk Management Framework and the following standards:
- NIST AI RMF (2023) Core and Profiles
- ISO/IEC 42001:2023 Artificial Intelligence Management System
- COSO ERM Framework (2017) Components and Principles
What is NOT in this product
- This is not a software tool or SaaS platform. It does not include automated scanning, monitoring, or AI model testing capabilities.
- It does not provide legal advice or substitute for regulatory counsel on jurisdiction-specific AI laws.
- No model code, algorithms, or technical implementation scripts for building AI systems are included.
- The playbook does not cover non-financial sector use cases such as healthcare, transportation, or defense applications.
- It does not include training videos, live workshops, or consulting services as part of the base package.
Lifetime access and satisfaction guarantee
You receive permanent download rights to all 64 files with no subscription, no login portal, and no recurring fees. The files are yours to use, adapt, and distribute within 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: With 25 years of experience in regulatory frameworks, the creator has analyzed 692 global compliance standards and built 819,000+ cross-framework mappings. Their methodologies support over 40,000 practitioners across 160 countries in financial services, energy, telecommunications, and government sectors.
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.
