The AI trust deficit: Why explainability, not more automation, is the CIO’s next priority

An AI trust deficit occurs when an organization deploys autonomous AI agents faster than it can prove those agents are acting within policy. It’s the gap between what AI agents are doing and what CIOs can clearly explain to a board, auditor, or regulator. Closing that gap requires audit-ready context: evidence showing who owns an agent, what it can access, and which policies governed its decisions.