PRACTICAL FIELD GUIDE

Enterprise AI Readiness

What makes an organization ready for enterprise AI?

The short answer

Enterprise AI readiness means the organization has a valuable use case, usable data, accountable owners, appropriate controls, and a workforce prepared to change how work gets done.

Four operating priorities

01

Business outcome before tool selection

Make this visible in the operating model, assign ownership, and connect it to evidence the organization can review.

02

Data quality, access, and ownership

Make this visible in the operating model, assign ownership, and connect it to evidence the organization can review.

03

Governance proportionate to risk

Make this visible in the operating model, assign ownership, and connect it to evidence the organization can review.

04

Adoption measured in changed work

Make this visible in the operating model, assign ownership, and connect it to evidence the organization can review.

A practical starting sequence

  1. Name the business outcome and the people affected.
  2. Map the information, systems, decisions, and permissions involved.
  3. Choose a contained use case with a measurable result.
  4. Set the review, escalation, and learning process before launch.
  5. Scale only after the evidence supports it.

Related perspectives