Agentic productivity: the metric your board is not yet measuring
Chris Meniw · Zenodo (CERN European Organization for Nuclear Research) · 2026
Talking about agentic productivity without defining how to measure it is exactly the problem 80% of companies claiming to use AI agents face today. My experience with ZOE and with dozens of agentic implementations across LATAM led me to an uncomfortable conclusion: traditional productivity KPIs (output per man-hour, cost per transaction, NPS) do not capture what an agent actually contributes or destroys. We need a new layer of metrics combining decisions made, decision quality, escalation to humans when appropriate, and the real total cost of an agent operating 24/7. In this article I unpack how to build that dashboard, what number to look at first, and what mistakes lead boards to think AI is working when it is not, or vice versa.