If you are a Chief AI Officer, Head of Responsible AI, or Compliance Lead at a financial institution, this playbook was built for you.
As AI systems evolve from advisory tools to autonomous agents making real-time decisions in lending, fraud detection, and customer engagement, your governance framework must evolve with them. The rise of agentic AI, systems that perceive, plan, act, and adapt without continuous human input, introduces new compliance, risk, and audit challenges. You are under increasing pressure to demonstrate regulatory alignment, enforce human oversight, and maintain auditability across dynamic AI behaviors, all while avoiding reputational harm and regulatory penalties.
Regulators now demand demonstrable accountability for AI-driven actions, especially when those actions impact credit decisions, market integrity, or consumer protection. You must reconcile technical autonomy with legal responsibility, implement real-time monitoring and circuit breakers, and ensure that third-party AI components meet stringent governance thresholds. At the same time, internal stakeholders expect rapid deployment of AI capabilities, creating tension between innovation velocity and control maturity. Without a structured governance model, your team risks non-compliance, operational fragility, and failed audits.
Traditional consulting approaches to AI governance cost between EUR 80,000 and EUR 250,000 when engaging large advisory firms, and require 3 to 6 full-time staff over 4 to 8 months to develop internal frameworks from scratch. This playbook delivers the same depth of structure, control, and audit readiness for $395, one-time payment, no recurring fees.
What you get
| Phase | File Type | Description | File Count |
| Assessment & Scoping | Domain Assessment Workbook | 30-question diagnostic for each governance domain, aligned to ISO 42001, MGF, and NIST AI RMF. Includes scoring guidance, risk tiering, and evidence prompts. | 7 |
| Assessment & Scoping | Agentic AI Risk Bounding Assessment | Sample chapter: 30-question workbook to define operational boundaries, action permissions, escalation paths, and human-in-the-loop requirements for autonomous agents. | 1 |
| Implementation | Evidence Collection Runbook | Step-by-step instructions for gathering and organizing evidence required by auditors, including logs, decision trails, model updates, and override records. | 1 |
| Implementation | RACI Matrix Template | Pre-built responsibility assignment matrix for AI governance roles, covering development, deployment, monitoring, and incident response across business, tech, and compliance units. | 1 |
| Implementation | Work Breakdown Structure (WBS) Template | Hierarchical task list for implementing agentic AI governance, broken into phases, deliverables, and ownership lanes. Compatible with project management tools. | 1 |
| Audit & Review | Audit Preparation Playbook | Checklist-driven guide to prepare for internal and external audits, including document bundles, stakeholder interviews, and demonstration scenarios for autonomous agent behavior. | 1 |
| Cross-Alignment | Cross-Framework Mapping Index | Detailed matrix linking controls across ISO 42001, MGF for Agentic AI, ISO 23894, and NIST AI RMF, enabling unified implementation and audit responses. | 1 |
| Supplemental | Implementation Guide | Narrative walkthrough of how to sequence the tools, assign responsibilities, and integrate with existing AI governance and risk management programs. | 1 |
| Supplemental | Glossary & Terminology Guide | Standardized definitions for agentic AI, human accountability, technical guardrails, and lifecycle controls to ensure consistency across teams and regulators. | 1 |
| Supplemental | Reference Architecture Diagrams | Three visual models: governance workflow, data flow with audit trails, and incident escalation paths for autonomous agents in production environments. | 3 |
| Supplemental | Policy Statement Templates | Editable drafts for AI use policies, agent authorization protocols, and third-party oversight agreements tailored to agentic systems. | 40 |
| Total Files | 64 | ||
Domain assessments
Each of the seven domain assessments contains 30 targeted questions, scoring rubrics, and evidence prompts to evaluate maturity and compliance across critical governance areas:
- Human Accountability & Oversight: Ensures clear assignment of responsibility for AI agent actions, including decision approval, exception handling, and escalation protocols.
- Technical Guardrails & Circuit Breakers: Assesses implementation of real-time monitoring, behavioral limits, kill switches, and anomaly detection for autonomous operations.
- Lifecycle Management: Evaluates controls for versioning, retraining, deployment, and retirement of agentic AI systems.
- Third-Party & Supply Chain Oversight: Reviews due diligence, contractual obligations, and ongoing monitoring for external AI components and vendors.
- Transparency & Explainability: Measures the ability to log, trace, and explain agent decisions in human-readable formats for auditors and affected parties.
- Data Governance & Integrity: Validates data sourcing, quality assurance, and bias mitigation practices that inform agent behavior.
- Risk Assessment & Impact Analysis: Tests the rigor of pre-deployment risk scoring, scenario modeling, and ongoing impact monitoring for agentic systems.
What this saves you
| Activity | Without This Playbook | With This Playbook |
| Develop governance framework from scratch | 6, 9 months, 3, 5 FTEs, high risk of misalignment | 4, 6 weeks, 1, 2 FTEs, pre-aligned to standards |
| Conduct cross-framework mapping | Manual effort across 4+ documents, inconsistent interpretation | Pre-built mapping index with 380+ control linkages |
| Prepare for regulatory audit | Reactive evidence gathering, incomplete documentation | Audit prep playbook with checklists, bundles, and mock interviews |
| Define human accountability | Ambiguous RACI, role overlap, compliance gaps | Pre-structured RACI with agent-specific role definitions |
| Implement technical controls | Ad hoc development, inconsistent enforcement | Standardized guardrail templates and reference architectures |
| Engage external consultants | EUR 80,000, 250,000 in advisory fees | $395 one-time investment, no external dependency |
Who this is for
- Chief AI Officers overseeing enterprise AI strategy and governance in financial services
- Heads of Responsible AI building ethical and compliant AI programs
- Compliance Leads ensuring adherence to regulatory expectations for automated decision-making
- Risk Managers assessing AI-related operational, reputational, and legal risks
- Legal Counsel advising on liability, accountability, and contractual obligations for AI agents
- Technology Governance Teams implementing controls for AI development and deployment
- Internal Audit Units preparing to assess agentic AI systems in production
Cross-framework mappings
This playbook includes full alignment to the following frameworks, enabling unified implementation and audit responses:
- ISO/IEC 42001:2023 , Artificial Intelligence Management System
- Model AI Governance Framework (MGF) for Agentic AI , Singapore Infocomm Media Development Authority
- ISO/IEC 23894:2023 , Guidance on Risk Management for AI
- NIST AI Risk Management Framework (AI RMF 1.0)
What is NOT in this product
- This is not a software tool or platform. It does not include code, APIs, or integration services.
- It does not provide legal advice or replace consultation with regulatory counsel.
- No AI models, training datasets, or algorithmic designs are included.
- It does not offer certification or audit services from third parties.
- No real-time monitoring dashboards or automated compliance tools are part of this package.
- It is not tailored to non-financial services sectors or general AI use cases outside agentic systems.
- There are no subscription-based updates or cloud-hosted components.
Lifetime access and satisfaction guarantee
You receive lifetime access to all 64 files with a one-time payment. There is no subscription, no login portal, and no recurring fees. Files are delivered in standard formats (DOCX, XLSX, PDF) for immediate use 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
