Agree on the workflow, baseline, error cost, and stop criteria before investing in an AI proof of concept.
- AI pilot
- AI proof of concept
- AI strategy
- automation ROI
Write down the baseline
Measure how the task works today: volume, time, rework, and common exceptions. A baseline makes it possible to see whether a prototype improves the process rather than merely producing a demo.
AI & AutomationAI & Automation
Thoughtful decisions compound over time.
Practical product work brings technical choices back to the people and workflows they are meant to serve.
Name the unacceptable failures
Decide which errors can be corrected easily and which could affect customers, finances, or compliance. Include privacy, human oversight, and operational costs in the scorecard.
Agree on the next decision
Set a time-box, evidence threshold, and stop condition before the pilot begins. This keeps a useful experiment from becoming an open-ended project without a production plan.
Practical application
Before a pilot, record task volume, current handling time, correction rate, and the cost of a wrong result. Agree on a time limit and a minimum improvement threshold with the process owner so the team can stop or proceed based on evidence.
