AI Assessment & Blueprint

An AI Blueprint is a unit-specific action plan for AI, built from your own organizational data rather than generic advice. It starts with an AI Assessment: structured conversations with people across your department that surface how AI is already being used, how people feel about it, where work is getting stuck, and where the strongest opportunities and risks sit.

The result is a clearer answer to the questions campus leaders are actually facing: where to train, what to invest in, who is ready, and what to do first — acrossadoption, training, budgeting, tool selection, policy, and implementation.

How it works

• We talk to your people. Structured conversations across your unit help us understand how AI is already being used, how people feel about it, where work is getting stuck, and where opportunities may exist.
• We add benchmark context. We compare what we hear with patterns from other colleges and departments to help separate local signals from broader trends.
• We turn it into your Blueprint. You receive a unit-specific plan that identifies priorities for training, tools, workflows, investment, change leadership, and next steps.

What the assessment measures

Every person in the unit is placed on a five-level capability ladder, and given an engagement persona that captures how they relate to AI at work — independent of how capable they are. Layered onto your org chart, the two together show a leader where champions, resistance, and training needs actually sit.

The capability ladder

• L1 — Learner. Needs guidance to use AI productively and safely.
• L2 — Task User. Completes useful bounded tasks with AI.
• L3 — Workflow Practitioner. Runs reliable role-specific workflows, with checks.
• L4 — Prototyper. Independently turns an idea into a working prototype.
• L5 — Systems Builder. Makes it deployable, secure, and maintained.

Engagement personas

• Driver. Uses AI heavily and pushes it onto everyone else.
• Quiet adopter. Uses AI heavily, keeps it to themselves.
• Pragmatist. Uses AI in real work, stays measured about the trade-offs.
• Curious. Keen but barely started, asking how rather than whether.
• Doubter. Leads with the risk, whatever their own usage.
• Bystander. Heard us out, neither using it nor keen.

Why we don't stop at a survey

• AI adoption is a people challenge. If you want to change how people work, you first need to understand what they know, how they feel, what they're already doing, and what may be holding them back.
• Surveys are useful — but they flatten nuance. A survey can tell you what someone selected. A conversation can reveal why they answered that way, where a workflow is breaking down, or what they've already figured out on their own.
• Better listening leads to a better plan. The more context you have about your people and their everyday work, the more specific your Blueprint can be about training, workflow opportunities, investment, and change.

Getting started

Every engagement begins with a free 60-minute AI Assessment Consult. We learn about your team, the decisions you're facing, and where AI may fit — then help you determine whether an assessment makes sense. There's no framework to adopt first and no pressure to commit.