Pat MulleeAI Product & Platform Leadership
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Automation

AI Adoption & Rollout

Explore a sample rollout, compare team usage, and examine the interventions that support adoption.

  • Shows adoption climbing week over week as enablement levers are applied
  • Lays out the rollout that moves a skeptical expert audience to real use
  • Provides the concrete enablement artifacts behind the curve
Find the adoption gapChoose the rollout lever

Adoption, week 8

188weekly users
94%of seats

Primary interaction

Adoption decision

Data Platform is the next enablement target.

Overall adoption reaches 94% in week 8, while Data Platform trails the other teams at 84%.

Current rollout leverWorkflow integration and manager reinforcement

Make the tool the default, not the option.

188weekly active users, week 8
94%adoption rate
10xgrowth over the rollout
W1
W2
W3
W4
W5
W6
W7
W8

Weekly active users for Research Summarizer, pilot through embed.

Investment Research7296% of seats
Risk & Compliance4191% of seats
Operations4889% of seats
Data Platform2784% of seats

Goal

Prove value with a small, willing group.

Primary lever

Hand-picked champions and white-glove onboarding

Start with the teams most likely to win. Sit with them, watch real use, fix friction fast.

Adoption becomes actionable when the curve points to a team and a rollout lever.

94%adoption by week 8
4rollout stages
4teams onboarded
Under the hood

Capability proof

Capability proof

Adoption as an operating model

Service model

A staged rollout that moves an expert audience from launch to real use.

Intelligence layer

Tracks weekly active users by team and the adoption rate over the rollout.

Operational state

Holds the adoption curve, the stage plan, and the enablement artifacts together.

Human control

Each stage has an explicit lever and owner, with adoption visible to leaders.

Business value

Turns a launched AI tool into a used one, which is where the value is.

Architecture

Adoption is treated as a staged change-management problem, not a launch event. The dashboard measures weekly active users by team so the question is whether experts keep using the tool, not whether they tried it once. The rollout sequences four stages, each with one primary enablement lever, and the kit holds the concrete artifacts that do the work: a contextual in-app nudge, a session outline tied to a real workflow, and a clear definition of what counts as active. The demo runs client-side over a precomputed synthetic dataset.

What this demo is, and isn't

  • The rollout, teams, and numbers are fictional and labeled synthetic.
  • This shows an adoption operating model, not a specific employer's program.
  • The curve is illustrative of a well-run rollout, not a guaranteed outcome.