Put Learning in the AI Business Case
Before approving an AI investment, decide how people will learn the work once it changes.
When companies call me
You Invested in AI. Adoption and Return Have Stalled.
The licenses are bought and the training happened. Usage has flattened, the business case is hard to defend and the board is starting to ask what it got for the money.
What's Usually Going On
- It was run as a technology rollout. The tools were deployed, but the work around them didn't change, so people use AI at the edges of their jobs rather than at the center.
- Learning wasn't in the business case. Teams got a launch-day session and little after it. Skill builds through practice on real work, and that time was never budgeted.
- The wrong things are being measured. Logins and seat counts are easy to track. Time saved, quality and faster decisions are not, so the return stays invisible.
How I Help
Assess
The Load Line™ assessment pinpoints whether the stall sits in leadership alignment, workforce skills, ways of working or culture.
Plan
We rebuild the adoption plan around a few workflows where AI should change how the work gets done, with learning time and measures built in.
Lead
As a fractional executive, I work with function leaders to redesign those workflows and keep adoption moving.
Hand Off
Your managers own the new ways of working and the measures, and the reporting continues without me.
What You'll Have by Day 90
- A written diagnosis of why adoption stalled.
- Two or three priority workflows in redesign, each with an owner and a measure.
- A learning plan that fits inside the work week.
- A simple monthly report on use and return that your board can read.
Related Reading
What's Your Company Working Through?
Share a little about the decision, challenge, or change ahead. We can start there.