If you are a compliance officer or risk lead at a financial institution or critical infrastructure operator, this playbook was built for you.
As organizations in regulated sectors deploy advanced AI systems, the pressure to demonstrate compliance with emerging state and federal mandates has intensified. You are responsible for ensuring that AI deployments meet legal, operational, and safety requirements while preparing for audits and regulatory scrutiny. With overlapping frameworks and evolving expectations, the burden of building governance from scratch is unsustainable.
Regulators are now requiring documented risk assessments, safety impact reports, and access controls for high-impact AI systems. California SB 53 mandates annual safety assessments for critical infrastructure and financial services entities using covered models. The NIST AI RMF outlines governance and risk mitigation expectations, while ISO/IEC 42001 sets organizational standards for AI management systems. Without a structured approach, your team risks non-compliance, reputational damage, and operational disruption during audits.
A comparable engagement with a Big-4 advisory firm would cost between EUR 80,000 and EUR 250,000. Building an equivalent internal capability would require 3 full-time staff over 4 months to research, draft, and implement controls across all required domains. This playbook delivers the same rigor and structure at a fraction of the cost, priced at $395 for a one-time download.
What you get
| Phase | File Type | Description | Count |
| Foundation | Domain Assessments | 30-question evaluation workbooks covering each of the seven core AI governance domains, aligned with SB 53, NIST AI RMF, and ISO/IEC 42001 | 7 |
| Evidence Collection | Runbook | Step-by-step guide for gathering and organizing evidence required for regulatory reporting and audit defense | 1 |
| Audit Readiness | Playbook | Structured process for preparing internal and external auditors, including response templates and evidence indexing | 1 |
| Governance Setup | RACI Templates | Pre-built responsibility assignment matrices for AI oversight roles across legal, compliance, engineering, and risk teams | 5 |
| Project Execution | WBS Templates | Work breakdown structures for implementing AI governance controls, phased by quarter and team | 5 |
| Cross-Reference | Cross-Framework Mappings | Detailed alignment tables linking SB 53, NIST AI RMF, and ISO/IEC 42001 control objectives and requirements | 45 |
| Total Files | |||
| Total | 64 | ||
Domain assessments
The seven domain assessments provide a structured method to evaluate AI governance maturity across key functional areas. Each contains 30 targeted questions designed to surface gaps, assign accountability, and generate audit-ready documentation.
- Organizational Governance , Evaluates the existence and effectiveness of policies, oversight structures, and accountability mechanisms for AI systems.
- Data Provenance and Integrity , Assesses controls around data sourcing, quality assurance, bias detection, and lineage tracking for training and inference data.
- Model Risk Management , Reviews processes for model development, validation, monitoring, and performance benchmarking across the lifecycle.
- Transparency and Explainability , Measures the organization's ability to document and communicate model behavior, limitations, and decision logic to stakeholders.
- Security and Access Control , Examines identity-based access policies, authentication protocols, and system hardening for AI platforms and endpoints.
- Incident Response and Monitoring , Tests readiness for detecting, reporting, and remediating AI-related failures, drift, or misuse events.
- Third-Party and Supply Chain Risk , Analyzes due diligence, contractual obligations, and oversight of external vendors and open-source components used in AI systems.
What this saves you
| Activity | Time with Playbook | Time Without Playbook | Hours Saved |
| Develop AI risk assessment framework | 8 hours | 80 hours | 72 |
| Map controls across SB 53, NIST AI RMF, ISO/IEC 42001 | 6 hours | 60 hours | 54 |
| Prepare audit evidence package | 10 hours | 50 hours | 40 |
| Define RACI for AI governance roles | 4 hours | 25 hours | 21 |
| Create work breakdown structure for implementation | 5 hours | 30 hours | 25 |
| Conduct initial domain assessment | 12 hours | 40 hours | 28 |
| Total Estimated Savings | 45 hours | 285 hours | 240 |
Who this is for
- Compliance officers in financial institutions required to conduct AI safety assessments under state law
- Risk managers at critical infrastructure operators preparing for regulatory audits on AI use
- Chief AI officers establishing governance frameworks for enterprise AI deployment
- Legal counsel responsible for documenting AI system compliance with emerging mandates
- Internal auditors verifying AI control effectiveness across multiple frameworks
- Security leads implementing access controls and monitoring for AI platforms
- Operations directors overseeing AI model lifecycle management in regulated environments
Cross-framework mappings
This playbook includes explicit mappings between the following frameworks to eliminate redundant work and ensure consistent implementation:
- NIST AI Risk Management Framework (AI RMF) 1.0
- ISO/IEC 42001:2023 AI Management System
- California Senate Bill 53 (SB 53), 2024
What is NOT in this product
- This is not a software tool or platform. It does not integrate with your systems or automate data collection.
- It does not include legal advice or attorney-client privileged content.
- No AI model cards or technical documentation templates for individual models are provided.
- There are no training videos, webinars, or live consulting sessions included.
- The playbook does not cover non-US state regulations beyond California SB 53.
- It does not include sector-specific use case guidance for healthcare, education, or consumer marketing.
- No real-time updates or regulatory change alerts are part of this offering.
Lifetime access and satisfaction guarantee
You receive lifetime access to the playbook with no subscription required and no login portal to manage. The files are delivered as downloadable documents that you can store, share, and version control 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
The creator has 25 years of experience in regulatory compliance and risk management, with direct involvement in 692 distinct regulatory and industry frameworks. Their research underpins 819,000+ cross-framework mappings used by compliance teams globally. Over 40,000 practitioners across 160 countries have applied these methodologies in financial services, critical infrastructure, healthcare, and technology sectors to meet audit and regulatory requirements efficiently.
