Generic AI training teaches abstract concepts, then leaves your team to figure out where any of it applies to their actual job. This playbook — and TrackImpact itself — replace that guesswork with a five-step loop: role-specific profiles, an approved tool stack, real logged usage, and reports that turn a pilot into the case for the next one.
- Why the "multiplier problem" makes org-wide AI adoption a different job than getting good at AI yourself
- How to build a one-page pitch that gets a pilot funded — problem, scope, metric, timeline
- The five-step loop: profiles, approved stack, logged usage, roll-up, and a report leadership trusts
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- Why the "multiplier problem" makes org-wide AI adoption a different job than getting good at AI yourself
- How to build a one-page pitch that gets a pilot funded — problem, scope, metric, timeline
- The five-step loop: profiles, approved stack, logged usage, roll-up, and a report leadership trusts
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The problem with generic AI training: it teaches abstract concepts, then leaves each person to figure out where any of it fits their actual day-to-day work. TrackImpact skips that translation step — every profile already shows where AI is effective in that specific role.
The Loop, End to End
The same five steps the playbook walks through — this is what running them in TrackImpact actually looks like.
Set the stack
You tell TrackImpact which AI tools are actually licensed and approved. Every recommendation any profile surfaces is scoped to that list.
Log the usage
As the team works, they log real activity through the TrackImpact buttons built into their profile and their dashboard — seconds per task, not a survey.
See the dashboard 4Roll it up
The dashboard aggregates logged activity by team and department automatically — nobody manually compiles a spreadsheet.
See the admin view 5Report the impact
TrackImpact turns the aggregated activity into a report you can actually bring to leadership — the evidence that earns budget for the next team.
See example reportTurn AI Usage into board-ready ROI
Guides get you started — TrackImpact proves it worked. Measure AI usage across your teams, attribute real value, and turn it into evidence leaders act on.