How ready are you to lead AI transformation?

We have a clear, written AI ambition tied to specific business outcomes.

A named senior executive owns AI transformation and is accountable for results.

There is dedicated budget for AI beyond one-off experiments.

Leadership agrees on which problems AI should tackle first.

AI shows up in our strategic planning, not as a side project.

The data our priority use cases need is accessible without heroic effort.

We trust the quality, accuracy, and completeness of that data.

Our systems can integrate AI tools with existing workflows and applications.

We have the security and infrastructure to deploy AI safely as usage grows.

Data ownership and access rights are clear enough to move quickly.

We have people, in-house or partners, who can build or configure AI solutions.

Our teams know how to use AI tools effectively in their daily work.

We have real capacity, in both time and people, to run AI initiatives.

We have a plan to close skill gaps through hiring, training, or partners.

Someone can translate between business needs and technical delivery.

Our core workflows are documented well enough to redesign around AI.

We understand where time, cost, and errors actually accumulate today.

We can change how work gets done, not just bolt AI onto old processes.

Decision rights for approving process changes are clear.

We have a way to move a successful pilot into standard operations.

We have, or can quickly create, guidelines for responsible, compliant AI use.

Someone is accountable for AI risk, privacy, and compliance.

We can evaluate vendors and tools against clear risk criteria.

Employees know what is and is not acceptable use of AI.

We can monitor AI outputs for errors, bias, or drift after deployment.

Our people are curious about AI rather than threatened by it.

We have a track record of adopting new ways of working.

Leaders model AI use themselves, not just mandate it.

Employees feel safe experimenting and admitting what does not work.

We measure success by adoption and value, not just tools deployed.