How to make better enterprise AI ROI metrics and dashboards

Encode what you should next in AI ROI metrics, don’t leave the decision up to post-metrics vibes.

Make the decision before making the metrics. Translate the decision into language that people use before packaging it up into quantifiable metrics. For example, ‘Should we scale this AI feature from 10% to 100%?’ or ‘Should we fund a newer v2 model training next quarter?’ or ‘Should we replace manual workflow X with automation?’ Clear decision language is needed to form clear images of success. In other words, you have to be able to say your decision out loud before you can imagine what success will look like. This is your best protection from getting fooled by a nice Metric Theater with pretty dashboards.

🔗 The Reality of an AI Implementation