Containment Is Lying to You: Measuring AI Agents Like Employees — Druid AI

Why watch

Dan Bălăceanu from Druid AI challenges the conventional containment rate metric as misleading for AI agent evaluation, using a banking case study where an agent that escalated more actually handled higher-value customers about to refinance. The talk presents a seven-pillar performance review framework with 26 weighted components across configuration, runtime, and governance dimensions, demonstrating how a dashboard staying green can mask performance degradation from 83% to 60%. Essential viewing for AI engineers, product managers, and enterprise leaders deploying AI agents in production.