You adopted AI. That is not the same as implementing it.
Matías Bonvin· Updated
Individual AI use and an implemented workflow answer different questions. Both can be valuable, and a production system still needs adoption.
Your team uses ChatGPT to draft things. Someone has Copilot. The ops manager found a tool that saves her two hours a week. The board presentation two months ago had a slide about AI initiatives.
So when someone asks are you using AI, the answer is yes.
And yet something nags.
You adopted AI. That is not the same as implementing it.
Individual use can produce a useful gain. It becomes transferable when the method, context and controls are captured so another person can repeat it.
Implementation means the way work gets done has actually changed. There are systems that run, processes that function differently, things that happen now that could not have happened without the infrastructure you built. Something the next person inherits.
The gap between those two things is not a technology gap.
Closing it requires doing something uncomfortable: mapping processes that live in people's heads, ordering data that was never meant to be queried at scale, making explicit the informal structures that hold the company together. The ones everyone knows about and nobody has ever written down.
Start with a bounded workflow. Clarify its data, decision rights and operating owner without requiring a structural reorganization of the whole business.
The change can affect responsibilities and incentives. Discuss those consequences with the people doing the work and include adoption in acceptance.
Look for a capability another person can inherit
Useful tests include a report produced on time with traceable sources, a known exception handled correctly and a replacement operator able to run the process. These are acceptance examples, not claimed customer outcomes.
That is an organizational outcome.
Review the work that changed in your company over the last six months.
The question is whether the way your company actually operates has changed because of it.
The companies closing that gap right now are building advantages that compound. Every month of real implementation is a month of learning what works and building the next thing on top.
Measure both use and the operational result. Continue with the adoption measurement framework.
What changed in your company in the last six months? Not what tools you added. What changed about how work actually gets done.
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