A company buys licenses, runs trainings, tracks token spend or some other adoption metric, and six months later asks why nothing changed in the business. AI ROI isn't a technology problem. It's an incentive problem.
The rule is simple: if it isn't in the KPIs, it's a nice-to-have. And nice-to-have disappears the moment pressure rises and people are busy.
A predictable pattern
Across company after company I see the same sequence:
- Deploy the tools and hope for organic adoption. Result: low usage and panic.
- Start trainings, hackathons, forums. Usage ticks up a bit, business impact none.
- Add soft KPIs like "everyone must use the tool three times a week". Usage rises a little, drops the moment people get busy, still no results.
- Realize you've been measuring the wrong thing and it's time to tie behavior to business outcomes.
The unlock comes exactly where a company stops tracking usage and starts tracking outcomes. Not "did you open Copilot today", but "did your team close more deals, cut more cost, ship faster?".
Stop measuring whether people opened the tool. Start measuring whether it got them a result.
The message has to be honest
The message to people can't be "use AI". It has to be: here's where we need to grow, here's where we need to save, and here's the AI to help you get there. When the goal is clear and tied to real incentives, behavior changes. When the goal is missing, no amount of training replaces it.
Soft landings feel kind. In reality they just delay the inevitable and waste the window when people still have time to adapt. The companies that get this sooner build a lead that's hard to close.
If you're working out how to tie AI adoption to business goals so it shows up in the numbers, get in touch. I'm happy to look at where your incentives and outcomes are missing each other.
