Enablement

Give the team a safe place to get good.

The decision

How do we move from staff pasting company data into consumer tools to governed, measured use?

Plan an enablement

The constraint

AI adoption fails when access, policy, and training arrive in the wrong order.

We set up a governed AI environment in the company’s cloud, settle the rules before broad access, and train teams on the workflows they run.

  • EnvironmentModel access, identity, audit, connectors, and administration in the company tenant.
  • BoundariesData classification, retention, permissions, and human review requirements.
  • CurriculumRole-based instruction built around work from finance, sales, service, and operations.
  • AdoptionChampions, office hours, usage signals, and a path from individual work to shared workflows.
What changes

The team can use AI without inventing the rules each time.

  • Governed tenantA configured environment the company controls.
  • Role playbooksPrompts, workflows, and examples tailored to each function.
  • Trained championsInternal owners able to support the next wave of adoption.
  • MeasurementUsage, workflow coverage, time returned, and quality signals.
Engagement

Set the environment, then train on the work.

WEEK 1

Govern

Choose the platform, set access, document boundaries, and establish review.

WEEKS 2–4

Train

Run function-specific labs using the team’s work and data patterns.

WEEKS 5–8

Embed

Coach champions, refine workflows, and track adoption.

For one company or the portfolio

Set up a governed AI environment.

Start with one company or standardize the environment and training across the portfolio.

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