7 Mistakes IT Leaders Make When Deploying AI Agents
TechTarget, Tuesday, August 19th, 2025
CIOs must avoid pitfalls such as poor planning and weak governance when deploying AI agents to production.
IT leaders face mounting pressure to deploy AI agents but risk creating rogue agents and accumulating AI debt without proper planning.
Key mistakes include using agents where deterministic automation suffices, failing to establish ownership and accountability, deploying without trustworthy data foundations, granting excessive system access, applying traditional software testing approaches, neglecting workforce change management, and treating deployment as the finish line rather than the start of lifecycle management.
Experts emphasize strong plans and foundational practices, including defined evaluation processes, clear governance models, data quality standards, runtime monitoring, and continuous feedback loops.