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Framework · Proof artifact
Strategic framework · AI adoption6 min read

Your AI pilot worked. Six months later, is anyone still using it?

A six-step operating model that turns AI capability into workflow change that holds after the pilot.

AI-Supported LearningWorkflow TransformationOperational Enablement
Enterprise SystemsSaaS
At a glance
Problem

AI pilots faded once leadership stopped watching.

Answer

Six steps: Discover, Assess, Prioritize, Design, Pilot, Scale.

Result

Adoption that lasted past the pilot, with less tool churn.

Workflow mappingReadiness scorecardRole-design canvasPilot playbooksCapability metrics
02Operating model

Six steps from curiosity to measurable adoption.

01

Discover

Map where work happens and where friction lives.

02

Assess readiness

Score workflows on clarity, value, sensitivity, and governance.

03

Prioritize

Pilot where impact, fit, and risk align.

04

Design human + AI

Decide what's automated, assisted, or stays human.

05

Pilot and enable

Treat it as behavior change, not a tool rollout.

06

Govern and scale

Guardrails, measurement, and sustainment so adoption holds.

Atmosphere · Human in the loop

The work stays human. The system listens, supports, and gets out of the way.

03Experience principles

What the framework protects.

Reduce friction

In the work itself, not just the interface.

Protect judgment

Where it matters most.

Redesign the flow

AI fits the work, not the other way around.

Governance as design

Guardrails shape the workflow from day one.

Measure capability

Not just usage — capability, adoption, transformation.

Sustain the change

An operating model that keeps moving.

System impact

What the operating model produces.

Qualitative outcomes the framework is designed to make repeatable — observed across pilots and the patterns it codifies.

Workflow

Adoption lives inside the work.

Judgment

Human judgment stays where it matters.

Scale

One model extends beyond a single team or tool.

See it applied

Concept dashboards and artifacts live in the Lab.

The thread

Integrating new capability into the workflow itself — so adoption becomes operational behavior, not a tool rollout.