FairPlay's Model Risk Management Manual for Agentic Systems
Deploy Agents with Practical Guidelines, Not Guesswork
A companion to regulatory readiness for banks, fintechs, insurers, and the AI vendors who sell into them. Translate SR 11-7 into practical governance, validation, and monitoring for LLM powered agents.
Model Validation
Field Guide
A Practical Handbook for High-Risk Model Review in the Age of AI and Alternative Data
Master the essential checklists and frameworks for validating models and ensuring regulatory compliance in financial services.
Why This Guide Matters
SR 11-7, Modernized for Agents
Testing, Optimization and Monitoring tailored for dynamic, tool-enabled Agentic systems.
Practical Tools for Exam-Readiness
Exam questions, test procedures, and documentation templates that make you Regulator-Ready
Catch Risks Before They Catch You
Spot hallucinations, leakage, bias, and off-policy behavior before they escalate into incidents.
What's Inside the Guide
Financial services and insurance companies increasingly rely on AI AGENTS Regulatory agencies are intensifying their scrutiny of these models.
Guardrails That Govern
- Guidance on lifecycle oversight, escalation protocols, and fallback strategies for agentic systems.
System Visibility
- How to build a complete inventory of models, tools, RAG sources, and integrations—while detecting and governing "shadow AI."
Solid by Design
- Frameworks for choosing the right architecture (LLM vs. LLM+RAG), setting boundaries, and designing prompts and retrieval strategies.
Continuous Monitoring
- Ongoing checks combining automated compliance assertions and factual accuracy testing with clear escalation triggers.
Fairness of Outcomes
- Methods for evaluating demographic parity, consistency, and groundedness to ensure compliant, non-discriminatory results.
Vendor Oversight and Auditability
- Independent testing of vendor guardrails, SLA requirements, and robust audit trails to keep systems explainable and regulator-ready.
Ready to Strengthen Your Model Validation?
Download your free copy of the Model Validation Field Guide and start implementing best practices for high-risk AI model review today.