Eight in 10 enterprises have governance frameworks and policies defined, yet continue to experience costly reversals, slow failure attribution, and deployments that proceed without a complete understanding of agent behavior. That’s because there’s a lack of governance across the board.
In fact, 72% of enterprise leaders believe the agents running their organizations introduce unmanaged financial or compliance risk. While 82% report agents have autonomously executed consequential actions in production without sufficient human oversight. And, 70% could identify that a failure occurred but couldn’t determine which agent caused it.
What’s more, 93% reversed an agent action, which resulted in costly and disruptive consequences, as outlined in Kore.ai’s Agent Productivity Index.
Key takeaways:
· 50% detect agent malfunctions within 1-4 hours of occurrence.
· 33% need 4-8 hours before a failure is detected
· 70% could not identify the responsible agent when a failure occured.
· 42% experienced measurable revenue loss as a direct result of an AI agent failure.
· 31% reported SLA violations attributed to agent malfunctions
· 28% experienced customer churn following an agent failure
· 53% admit they have deployed an agent to production without fully understanding or trusting how it would behave.
· 62% have delayed agent deployments over governance concerns
· 72% believe autonomous agents introduce unmanaged financial or compliance risk
· 54% classify agent failures as IT incidents only
