Strategy

Quick Answer An AI copilot adoption scorecard should measure more than logins. A useful scorecard combines usage, task quality, user confidence, review effort, cost, risk, and workflow impact. The goal is to understand whether the copilot improves real work, not simply whether people opened it. Key Takeaways Adoption should be measured by workflow value, not only active users. Teams should compare usage with quality and review effort. Cost per useful task is more meaningful than cost per license. Governance signals should be included from the start. Scorecards should help decide whether to expand, retrain, restrict, or redesign the rollout. Why A Scorecard Matters AI copilots can spread quickly inside organizations. Some use cases create real value. Others create noise, rework, or security concerns. ...