AI workflows with accountable review

Overview

Select a bounded task and establish how its current workflow performs. Prepare representative inputs, including incomplete and unusual cases. Define the errors that matter most to the user.

Document where the model can assist and where a person must decide. Limit access to the data needed for the task, and keep an audit trail for consequential outputs.

Evaluate the complete workflow rather than a polished demonstration. Review incorrect results, user effort and the ability to recover when the model cannot provide a reliable answer.

Key considerations

• Define the operating decision and its owner
• Document the evidence, interfaces and assumptions
• Agree validation and handover responsibilities

Related solutions

Predictive Asset Intelligence

Infrastructure Condition Analytics

Product capabilities

• Define the operating decision and its owner
• Document the evidence, interfaces and assumptions
• Agree validation and handover responsibilities