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7 mistakes IT leaders make when deploying AI agents

CIOs are under pressure to deploy more AI agents and demonstrate their business value. But a “move fast and break things” approach can lead to rogue AI agents, AI debt, business impacts, and compliance issues. Avoiding mistakes starts with a strong plan and foundational practices. CIOs must have a process to evaluate an AI agent’s business value before investing in its development. Buy versus build is a consideration; organizations can leverage AI agents deployed on SaaS platforms or consider developing them using vibe coding or spec-driven development practices. When building AI agents, IT leaders should develop the security model before implementing the POC and ensure robust observability is in place. Top CIOs and CISOs communicate non-negotiable AI agent release criteria, providing teams standards for what meets compliance, security, and operational requirements.

Full report : A strong plan and foundational practices are essential to avoiding rogue AI agents, AI debt, and business impacts.