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AI Leadership Operations / 03Pro

Is the AI rollout actually landing?

Activation, depth, quality lift — re-baselined for your team's shape and how new the territory is.

About this tool

About this modeler

Most AI rollouts stall, and most leaders can't name why. This modeler scores activation, depth, quality lift, and value captured against a steady-state benchmark, then returns a single diagnosis — activation problem, depth problem, quality problem, or value-capture problem — each with a different fix. Use it monthly or quarterly to keep an AI initiative honest.

When to use it

  • Monthly or quarterly health check on an AI rollout
  • Board update on an AI initiative's real progress
  • Diagnosing why an AI tool isn't delivering expected ROI

Related tools

Blast radius

Reversibility

Sensitivity

Novelty

Who owns it

Owner seniority

Your numbers

Reach

Who has access, and who's actually showing up.

Depth + quality

How often active people use it, and whether their work got better.

Money

What an hour of the team is worth.

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56

The rollout is stuck — the bottleneck is skill, not the tool itself.

Catching on · the bottleneck is skill

Annual value: today / 12-mo realistic / steady-state

Pessimistic
$238,680
Realistic
$408,408
Optimistic
$663,000
Show the mathAdoption depth score
Activation rate36%
Avg uses / active user / wk4.0
Self-reported quality lift12%
Annual value · today$238,680
Annual value · steady-state$663,000
Stall diagnosisSkill

Do this next

  1. 01

    Ship a curated prompt library tied to 3 named workflows. Make it the default starting point.

    Owner · the rollout owner
  2. 02

    Tag every seat: active, not-yet, or opted-out. Stops you confusing low usage with low intent.

    Owner · the rollout owner
  3. 03

    Re-measure activation, depth, and quality lift in 4 weeks.

    Owner · the rollout owner

Want this as a plan?

Turn this decision into a sequenced four-week rollout — steps, owners, and the signal that tells you each one landed. Built against your situation, not a template.

Uses 3 AI credits

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Why this answerBaseline read

18/50 seats are weekly active (36% activation, vs ~60% expected for your shape). 4 uses/wk, 12% quality lift, 8 weeks in.

Depth score: 56/100 — "Catching on". Capturing $238.7K/yr today; steady-state $663K/yr. $424.3K sitting on the table.

Decent activation, thin depth. Identify the top 3 use cases that work and make them the official starter playbook.

One move: Ship a curated prompt library tied to 3 named workflows. Make it the default starting point.

Suggested process
  1. 01

    Interview the top 5 heavy users for 20 min each

    Owner · the rollout owner

    Find the 3 workflows that actually pay.

  2. 02

    Turn each workflow into a copy-pasteable prompt template

    Owner · the rollout owner

    Lower the activation energy from blank page to one-click.

  3. 03

    Run a 30-min team workshop using those templates

    Owner · the rollout owner

    Skill diffuses fastest when paired with shipped artifacts.

  4. 04

    Re-measure depth + quality lift in 4 weeks

    Owner · the rollout owner

    If depth doesn't move, you have a fit problem, not a skill problem.

How to defend itTalking points + export
  • 18/50 active = 36% activation (expected ~60%).
  • Depth score 56/100 — "Catching on".
  • Annual value: $238.7K today vs $663K steady-state.
  • Diagnosis: skill. Decent activation, thin depth. Identify the top 3 use cases that work and make them the official starter playbook.
  • Situation: blast: med · rev: costly · sens: routine · nov: trodden · owner: mid · reviewers: 1.