Workflow Optimization

The most expensive sentence in agentic AI is “Let me think” Every enterprise agent has a little theatre inside it. A user asks for something routine: find a customer record, check a document, submit a form, update a profile, send a message. The agent pauses, reasons, chooses a tool, receives an observation, reasons again, chooses another tool, receives another observation, and continues until the task is finished or the budget is quietly set on fire. ...

TL;DR for operators Most agent teams eventually discover that “the workflow” is not one thing. A customer-support agent, a coding agent, and a mathematical reasoning agent may all use decomposition, verification, consensus, and answer extraction—but not in the same order, not with the same emphasis, and definitely not with the same failure modes. Static agent templates look tidy in architecture diagrams. Then the first heterogeneous workload arrives, and the diagram starts quietly sweating. ...