Stop treating agents as one-off projects and start running them as a continuous discipline

From the source

Transformation begins at the line between an experiment that works and a capability the business depends on. Scaling intelligence requires production capabilities built for sustained business performance, with investments prioritized against financial thresholds, tied to measurable outcomes, instrumented for unit costs, and owned by accountable leaders.

This approach manages cost, performance, governance, and reliability as adoption grows. A new IDC InfoBrief, sponsored by Microsoft, Scaling AI Without Scaling Costs *, on how organizations are funding and governing AI, shows both the urgency of that shift and the friction holding it back.

Read the IDC InfoBrief Nearly 90% of organizations apply financial thresholds before approving AI initiatives. Scaling AI Without Scaling Costs Only 17% of organizations build models to project how costs scale in production—even as about 78% prioritize cost efficiency when selecting a model. 86% expect financial results within six to 24 months—roughly one budget cycle to show something real. …

azure.microsoft.com