AI agents promise to automate everything from scheduling to clinical documentation, but proving return on investment remains elusive for many systems. This session examines deployment patterns, cost-benefit tradeoffs, and the metrics leaders should track to separate genuine efficiency gains from hype, sharpening how systems evaluate and scale AI investments.