The institution playbook for AI-ready graduates

Producing AI-ready graduates has become an explicit mandate for institutions, and an almost impossible one to act on without a method. This playbook is that method: a practical, step-by-step guide to building, measuring and proving AI-readiness across a whole campus — written for placement teams, deans and training leads who need outcomes, not theory.

What's inside

• A four-stage rollout model — assess, guide, skill, place — with what to do at each stage.
• Guidance on baselining a cohort and reading the results without drowning in data.
• A framework for directing scarce skilling resources at measured gaps, not assumed ones.
• Approaches to issuing employer-trusted, verifiable credentials at scale.
• Notes on inclusion — reaching every student, including regional-language and low-access groups.

The four-stage rollout

• Assess — baseline every student's AI-readiness on a common, comparable measure.
• Guide — give each student a personalised direction rather than a generic brochure.
• Skill — close the specific gaps the baseline revealed, in the student's language.
• Place — connect verified graduates to employers on proof, and re-measure to show the lift.

Who it's for

It is written for the people accountable for placements and graduate outcomes: placement and training teams, deans, and the leaders deciding where to invest. It assumes scale — thousands of students — and is built around what works across a campus, not a single classroom.

Get the playbook

The full playbook is being finalised. Subscribe to The AI Growth Brief or talk to us, and we will share it as soon as it is ready.