Skip to content

AI ENABLEMENT FIELD GUIDE

After the Rollout

AI adoption is happening. Is your organization ready for what comes next?

AI tools are in the hands of your workforce. Usage is growing. But access and activity don’t tell you whether people can use AI effectively, workflows are ready to change, or your organization knows where human judgment still matters. The next step is turning AI adoption into real capability, better ways of working, and measurable performance you can rely on.
Get the Guide What's Inside
AftertheRolloutFieldGuide_cover

The rollout is only the beginning.

You gave people access. They started using it. Now the harder questions emerge:

You may have AI adoption without AI enablement.

Are people actually getting better at the work?
Which AI practices are becoming part of everyday workflows?
Where are managers still correcting or redoing AI-assisted work?
Can you tell what information AI is actually working from?
Are people prepared for AI to take on more responsibility?
The Core Insight

Access is only the first step.

The AI maturity model: five stages between owning AI and outpacing the market with it.
Access
A license makes AI available.
Stage 01
Usage
Usage creates activity — but activity isn't transformation.
Stage 02
Enablement
Enablement changes how work actually gets done.
Stage 03
Capability
Capability makes that change repeatable across teams.
Stage 04
Competitive edge
Capability at scale becomes your competitive edge.
Stage 05
⚠ Most companies stall here
Who It's For

Built for the people shaping what comes next.

AI & Technology

Human Resources & L&D

Executive & Business Leadership

Compliance, Risk & Governance

Security & AppSec

What's inside the guide?

A framework for what happens after AI adoption begins.
01

Redesign the work

Find where AI creates meaningful leverage across your workflows.
02

See what AI actually sees

Understand AI's inputs before relying on its outputs.
03

Prepare people for changing roles

Build capability paths tied to real work as roles evolve.
04

Match oversight to consequence

Apply review, verification, approval, and override where it matters.
05

Set boundaries before AI acts

Define clear scope and exception paths ahead of time.
06

Make capability stick

Give managers and teams a role in reinforcement over time.
SJ_Banner_Mountain

Move beyond the rollout.

Build the capability, workflows, and oversight that make AI useful, responsible, and repeatable.
Get the Guide