Track an AI tool or agent rollout
Licence counts are not adoption. This programme measures whether an AI rollout is actually landing: real usage from live systems, capacity realised against what was projected, and drift caught early.
What this programme does.
Signals come from the systems you already use: actual prompts, completions and workflows run, mapped to the tasks the rollout was meant to absorb, so you see adoption in the work itself rather than in login stats.
Realised capacity is tracked against the Discovery projection, week by week. Where adoption stalls, the data shows whether it is a training gap, a workflow mismatch or a tool problem, so the fix targets the cause.
Continuous · live from your systems
What you get.
Living documents, not slideware: every deliverable stays connected to the graph and updates as the analysis moves.
Live adoption dashboard
Usage by team and task, against the rollout plan.
Capacity realised tracker
Hours actually freed versus projected, updated weekly.
Drift alerts
Early warning when usage stalls or reverts to the old way.
What you need.
- Read access to the rollout tool's usage data or logs
- The rollout plan and its capacity projection
- A named owner for the weekly signal review
The rest of Traction.
Programmes compound: each one deepens the same graph the next one runs on.
Start with this programme, on one department.
Know within weeks, not quarters, whether the investment is landing, and exactly where to intervene.