AI Governance Guides
All articles in the ai governance category
Accountable Autonomy: Human Oversight Models 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: From Logging to Evidence Packs
Every organization running AI agents has logs, traces, and metrics. Yet this abundance of data often fails to answer fundamental audit questions. The gap between operational logging and audit-grade evidence requires rethinking what we capture, how we store it, and how we verify integrity.
The Governance Bottleneck: Why AI Agent Adoption Stalls at Scale
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.
AI Agents and the EU AI Act: What Business Leaders Need to Know Before August 2026
Comprehensive guide to AI agent compliance under the EU AI Act. Covers high-risk classification, human oversight requirements, audit trail infrastructure, and industry-specific obligations for financial services, healthcare, insurance, and government.
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.