Governing at Machine Speed

AI Governance, Compliance, and Risk for Regulated Industries

De: Shane Larson

Narrado por: Virtual Voice

Your AI governance framework was built for a world that no longer exists.

Traditional governance operates on quarterly cycles. AI operates every millisecond. The result? CIOs in regulated industries face an impossible choice: deploy AI fast and risk regulatory action, or move slowly and watch competitors pull ahead.

There is a third option. Build governance that operates at the same speed as your AI systems.

Governing at Machine Speed delivers the practical frameworks, architectures, and industry-specific playbooks that CIOs in financial services, healthcare, and government need to deploy AI at speed without creating regulatory exposure.

What you will learn:

• How to replace periodic compliance reviews with continuous, automated compliance monitoring
• The architecture for policy-as-code — translating regulatory requirements into enforceable rules
• How to build automated audit trails that satisfy regulators and actually provide governance value
• Why AI-assisted audit is the only way to achieve meaningful audit coverage at AI decision volumes
• Real-time risk management frameworks that detect and respond to AI risks in hours, not quarters
• Model governance across the full lifecycle: development, validation, deployment, monitoring, retraining, and retirement
• How to design governance architecture that scales from one AI model to hundreds
• The governance tech stack: what to build, what to buy, and how to integrate

Industry-specific playbooks for:

• Financial Services — Navigating OCC, CFPB, Fed, and SEC requirements for AI in lending, fraud detection, and trading
• Healthcare — FDA SaMD frameworks, HIPAA compliance, and patient safety governance for clinical AI
• Government — Executive Order compliance, transparency requirements, and procurement governance

This book is for you if:

• You are a CIO, CTO, CRO, or compliance leader in a regulated industry
• You need to deploy AI faster but cannot afford a compliance failure
• Your current governance process is either blocking AI deployment or failing to provide real oversight
• You want practical architecture, not theoretical frameworks or generic checklists

Every chapter includes real-world examples from regulated industries, practical exercises, and frameworks you can start implementing immediately.

The organizations that win the AI race in regulated industries will not be the fastest or the most compliant. They will be the ones that figured out how to be both.