Service
Enablement and training
Companies buy AI tool licenses at scale. Adoption stays low, and the return on that spend never materializes.
The tools that do get used are often used inefficiently, because generic tutorials teach the interface, not the specific workflows where the tool actually saves time for that team.
Method
What we do
Audit which licensed tools are actually used
And by whom, against what you are paying for.
Identify the highest-value workflows per team
Not a generic curriculum applied to everyone.
Train on those specific workflows
Role by role, task by task.
Measure usage and output change after training
Before and after, compared.
Set a recurring cadence
So skills do not decay as the tools change.
Deliverables
What you get
- A usage audit against license spend
- Role-specific training curricula
- Measured before and after adoption data
- A recurring enablement cadence
Logistics
Typical engagement
| Duration | Participants | Format |
|---|---|---|
| 4 to 8 weeks initial, then recurring | Team leads, end users, learning and development | Audit, workshops, and measurement |
Who this is for
- You have real license spend and low measured usage
Who this isn't for
- You have not purchased tools yet. Start with an opportunity assessment