The decision
The team chose one judgment: identify whether an order was valid before it moved into fulfillment. Success was framed around reducing invalid orders reaching the next stage.
Teaching case / Enterprise agent design
How a manufacturing team scoped a working AI agent
A manufacturing team wanted AI to improve order validation. The initial vision included validation, routing, messages, reporting, and exception handling. The learning challenge was deciding what to build first and how to keep it focused.
The human role
Flagged orders remained subject to human review before action. The team defined the boundary between an automated classification and a decision a person needed to make.
What happened
The field-guide case describes a validation agent that was built and moved into production. Proposed additions were considered as separate components rather than expanding the first agent into a single system responsible for every task.
The leadership lesson
The transferable capability is scoping: define the specific task, the quality measure, the human checkpoint, and the expansion decision. This is an enterprise delivery example used for learning, not a claim that a particular AILI workshop produced the result.
Adapted from the companion case “From Broken Process to Working Agent” in Noelle Russell’s The AI Leader’s Field Guide to Agentic Systems. Names and identifying details are generalized in the source.