Verdo

Adoption

Make AI get used.

Benchmark by role, train on tools you own, sustain with champions. Fluency measured, not attendance.

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Isometric illustration of Verdo's AI adoption programs
Fig. 01 · Adoption

The adoption gap

Announcements decay. Habits take hold.

Most adoption efforts are kickoff events, not programs. Without benchmarking, role-specific practice, and sustained measurement, use falls away.

Launch

Attention spikes

A new tool arrives with a town hall and generic training. Early curiosity looks like adoption.

Without a program

Usage decays

A $2M system at 15% adoption is a $1.7M write-off. Fluency must be installed in daily work.

In parallel with the build

Practice installs the habit.

The program runs in parallel with the build, so people are fluent by the time the system ships. The tracker makes the sequence visible without turning the program into a dashboard.

ActivityMeasurement
Benchmark survey livemeasured in week 1
Role training sessionsweeks 2 to 4
Workflow practice repsweeks 2 to 5
Champion network liveweeks 5 to 6
Fluency re-measuredmeasured in weeks 1, 4 and 6

Evidence

Daily use became the norm.

At a $135B AUM fund, the platform moved from 22% to 94% daily adoption.

from 22% to 94%Daily adoptionMeasured
9.5NPSMeasured
88%EfficiencyMeasured
Day 1Starts with the buildProductized

FAQ

Adoption questions.

How is AI fluency measured?

Against a baseline: a week-one benchmark, re-measurement through Train and Sustain, and usage telemetry. Fluency and usage, not attendance.

Can the program run on tools we already own?

Yes. Training lands on the tools you already own, and custom systems get the same role-specific structure.

What keeps adoption from decaying?

Champions, client-owned measurement, and reusable workflow libraries. Verdo hands over the crank.

Make it stick

Your technology is ready. Your organization can be.

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