Useful autonomy begins with a clear view of the work an agent prepares, the exceptions it finds and the decisions people make.
Begin with a bounded decision.
Choose a specific proposal, such as an order acceptance exception. Define the inputs it needs, the responsible reviewer and the action that could follow. A broad instruction to “improve operations” is difficult to evaluate; a clear decision can be compared with real work.
Compare before you execute.
In shadow mode, an agent prepares a proposal while the existing process remains authoritative. Compare the proposal with the decision the responsible person actually makes. Keep the original information, the rationale and any corrections together.
Study the exceptions.
Average quality can hide the cases that matter most. Look closely at missing information, conflicting dates, unclear item matches and requests outside the normal policy. A useful agent must recognize when it needs help, and route that case to the right person.
Agree on the evidence.
Decide in advance what must be demonstrated: proposal quality, review effort, permission boundaries and recovery when something fails. Use representative examples and keep a record of the outcome. Bundle size or a polished interface is not evidence that a business decision is safe.
Expand one boundary at a time.
The next step may be a better proposal, another connected data source or one carefully permitted action. Review the evidence with the people who own the process. Authority should follow a specific decision, rather than arrive as a blanket setting.
See how this fits into Evermill.
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