Veeam Report: Only 7% of Companies Ready for Deployed AI Agents

Veeam Software's Data and AI Trust Gap report found that while 88% of organizations now run or pilot AI agents — autonomous systems operating on company data with limited human direction — only 7% are truly ready for them. The core issue is an 'AI trust gap': data that is outdated, contradictory, or siloed leads agents to repeat mistakes across thousands of decisions before detection. Responsibility for AI oversight is scattered across innovation, engineering, data, and security teams, with no clear owner. Confidence in catching misbehaving agents drops sharply when ownership is shared without a lead.

CEOs are far more confident than their CISOs and CIOs in having a complete inventory of AI systems, creating blind spots in compliance and risk management. The EU AI Act adds financial penalties for high-risk systems lacking oversight, yet many technical teams feel unprepared. Shadow AI is widespread — employees use unapproved tools, often on personal devices, as only a quarter of organizations provide sanctioned alternatives. The fix is achievable: a minority of firms combining ambition, visibility, and governance report measurable business results. Veeam CEO Anand Eswaran summarized, 'Most organizations don’t have an AI adoption problem; they have an AI trust problem.' The recommended first step is understanding data ownership and finding gaps before agents do.