AI agent deployments are revealing that many business workflows were fundamentally broken before automation, with success depending more on operational redesign than AI sophistication.

AI agents expose existing workflow problems like unclear ownership, poor handoffs between teams, disconnected data sources, and missing escalation procedures.

Many agent deployments disappoint because they're dropped into workflows that human teams were barely managing manually, stress-testing operational design rather than just AI capability.

Future winners in AI agent adoption will likely be organizations that redesign underlying workflows to support agents, not those simply building the most advanced AI systems.