Why Do Multi-Agent AI Systems Fail at Production Scale?

Multi-agent AI systems can fail at production scale when individually valid agent rules collide across the workflow.

The article cites examples like a support agent overapplying a sensitivity flag and a logistics chain stalling because agents disagreed on approval status.

These are semantic mismatches, not ordinary bugs: the system can look like it worked while producing the wrong result.

Gartner forecasts rapid growth in agentic AI, but also highlights high cancellation risk as enterprises struggle with reliability and governance.