Tool-using agents can compress workflows that used to take teams days. They can also amplify mistakes at machine speed.
An operating model for agentic AI defines scopes of autonomy, escalation paths, evaluation harnesses, and cost budgets before the first demo goes viral.
We recommend separating exploration sandboxes from production agents, with clear promotion criteria: accuracy, latency, auditability, and human override.
The organizations that win will treat agents like junior colleagues with privileges—not magic.
