Activate + Measure
Design a proof of value that can earn the next decision
Move a defined credit union AI use case through evidence and a clear expand, refine, or stop decision.
Execution guide · 10-minute read · Updated
The executive decision
What must a proof of value demonstrate before the institution expands its scope?
A proof of value should show how the institution operates AI, measures results, handles exceptions, and decides whether the capability is ready for a broader role.
Use this guide to leave with
- A phased operating plan with accountable decision gates
- A measurement contract that combines outcomes, quality, and risk
- A final decision supported by evidence rather than momentum
Write the decision before you run the pilot.
Agree on scope, ownership, measures, controls, and the final decision the proof of value must support.
Increase exposure only as evidence improves.
Move from foundations to limited production, controlled expansion, and a formal decision.
Treat each expansion point as a governed decision.
Give every gate named evidence, accountable approvers, and a documented outcome.
Make the result explainable to the next room.
Build an evidence pack leaders, operators, and reviewers can use to understand what happened and why the recommendation follows.
Questions worth putting on the agenda
- What is the smallest scope that can produce decision-quality evidence?
- Which measures combine business value, member experience, quality, and risk?
- What must be proven before traffic or workflow authority expands?
- How will the team document changes so results remain explainable?
This is a working discussion resource. Tailor it to your institution's policies, risk appetite, and legal or regulatory guidance before using it to support a decision.