AI Governance Guides
All articles in the ai governance category
How to Audit an AI Agent System: An Enterprise Framework for Production
A fieldwork-ready, 12-domain AI agent audit framework for scope, ownership, authority, runtime controls, sampling, evidence, findings, and follow-up.
AI Agent Accountability Matrix: Who Owns What in Production
A field-ready accountability matrix for 13 AI agent governance roles across design, approval, release, runtime, incidents, change, and retirement.
AI Agent Audit Program: Scope, Sampling, Evidence, and Reporting
A fieldwork-ready internal audit program for AI agent scope, population completeness, risk assessment, control testing, sampling, evidence, findings, and follow-up.
SAFR, Explained: Inside MAS's Runtime Framework for AI Agents in Finance
SAFR is MAS BuildFin.ai's runtime governance reference for AI agents in finance. Inside: four components, four dispositions, envelopes, and mandates.
The AML Agent Control & Evidence Map: Every Agent Action, Its Control Gate, Its Accountable Human, and Its Sealed Evidence
The canonical table mapping each AML and payments AI-agent action to its control gate, accountable human, and sealed evidence record, cross-referenced to DORA, the AMLR, and Wolfsberg.
Why Static AI Governance Breaks Down for Agents in Production
AI governance designed for static models cannot govern autonomous agents that reason dynamically and act at machine speed. The evidence from every major analyst, standards body, and tech platform converges on one conclusion: governance must move inside the system.
Accountable Autonomy: Oversight for AI Agents
The debate around human oversight is often framed as a false binary: humans review every decision or AI operates autonomously. Effective oversight is about having the right controls at the right moments with clear accountability. This is accountable autonomy.
AI Agent Audit Trails: Actions, Evidence & Replay
Learn how to create audit trails for AI agent actions, replay decisions, verify policy and approval evidence, and prove record integrity.
AI Governance Bottleneck: Why Agent Adoption Stalls
Enterprise AI agent adoption is constrained not by technical capability but by governance capacity. Organizations can build AI agents faster than they can approve, monitor, and audit them. Closing this governance gap requires treating governance as enabling infrastructure.
Shadow AI: The Hidden Compliance Risk in Your Organization
How unauthorized AI tools create compliance blind spots under the EU AI Act. Learn to identify, inventory, and govern shadow AI before regulators find it first.
AI Agent Compliance Guide: EU AI Act Requirements
Classify AI agent systems, map provider and deployer duties, and document human oversight, logging, risk controls, monitoring, and audit evidence.