AI Readiness Assessment for Higher Education

Why most AI projects in higher education stall

It is rarely the technology. It is the lack of context. AI only produces results when it sits on reliable data, defined processes and clear goals. When the foundation is not ready, AI becomes a cost, not a gain: agents that answer poorly, automations built on wrong data, and teams that stop trusting the output. The assessment is how you avoid that.

What we assess

• Data quality: student, applicant and alumni records, duplicates, missing fields and outdated information.
• Processes: how marketing, admissions and student services work, and where repetitive tasks could be handed to AI.
• CRM and context: whether your CRM is set up to feed AI with the right context (institutional voice, programmes, personas).
• Use cases: where AI creates real value for your institution, ranked by impact and effort.
• Technical readiness: which features and agents you can activate now and which need preparation.

What you receive

• A diagnosis of the current state, with strengths and gaps.
• A prioritised AI adoption roadmap (what to do first, next and later).
• Concrete recommendations of use cases and agents for your institution.
• An effort and impact estimate, so you can decide with clarity.

How it works

1. Request: complete the form and we schedule an initial conversation.
2. Review: we assess your data, processes and CRM.
3. Delivery: we present the diagnosis and the roadmap.
4. Decision: you keep a clear plan, to execute with us or on your own.

Frequently asked questions about AI readiness

What is an AI readiness assessment?
It is an evaluation of an institution's data, processes and CRM to determine whether it is ready to adopt AI with results, and what needs to be done first. It ends with a prioritised roadmap.

Do we need to use HubSpot?
It is not required, but we work mainly in the HubSpot ecosystem, where AI runs on a CRM with context. If you do not use HubSpot yet, the assessment still clarifies the path.

How long does it take?
It depends on the size and complexity of the institution, but it is designed to give an actionable view quickly, not an endless report.

Are we committed to hiring you afterwards?
No. We deliver the diagnosis and the roadmap. You keep a clear plan you can execute with Latigid or in-house.

How is this different from an AI visibility or AEO audit?
This assessment is about your institution's readiness to adopt AI internally (data, processes, CRM). An AI visibility or AEO audit is about how AI engines represent your institution externally. They are complementary but different.