Before you add AI, fix these 5 things

AI, automation and faster decision-making are dominating conversations across higher education.

The excitement is understandable. AI has real potential to reduce repetitive work, support admissions teams and improve the applicant experience.

But there is a risk that institutions focus on the cherry before they have baked the cake.

In admissions, AI is the cherry. The cake is the process beneath it: how information is collected, how evidence is checked and how confidently an application can move towards a decision.

That is the challenge Enroly Apply is designed to address: helping universities create more complete, structured and decision-ready applications before adding further automation.

Here are five foundations institutions need to get right first.

1. Applications arriving incomplete

AI cannot make a decision using information that is not there.

When applications arrive incomplete, teams still need to request documents, clarify information and wait for responses before assessment can begin.

The first priority should be helping applicants provide the right information and evidence from the start.

2. One-size-fits-all application forms

Applicants are often asked the same questions regardless of their course, qualifications or circumstances.

A more dynamic journey asks only what is relevant, making the process clearer for applicants and producing more useful, structured information for admissions teams.

3. Evidence checked too late

When documents and qualifications are reviewed late in the process, several teams may already have assessed the application or repeated the same checks.

Capturing and verifying evidence earlier creates confidence sooner and reduces duplicated work.

4. Information spread across systems

Admissions teams often work across application portals, student record systems, inboxes and spreadsheets.

AI can help interpret information, but it cannot solve the underlying problem when information remains fragmented, inconsistent or difficult to access.

5. Skilled staff preparing applications instead of assessing them

Admissions professionals should be spending their time exercising judgement.

Too often, they are finding documents, chasing information and making applications ready to assess.

The goal should not simply be to automate those tasks. It should be to remove the need for as many of them as possible.

AI needs confidence to work

AI can recommend actions, summarise information and reduce repetitive work. What it cannot do is create certainty from incomplete or inconsistent information.

The better question is not:

How do we automate admissions?

It is:

How do we help applications arrive decision-ready?

The institutions that benefit most from AI may not be the first to adopt it. They will be the ones that first build admissions processes that are structured, connected and trusted.

Bake the cake. Then add the cherry.

Building stronger admissions foundations

This thinking shaped Enroly Apply.

Apply helps universities capture more complete application data, tailor requirements to the applicant, bring evidence into the journey earlier and create shared visibility across applicants, agents and university teams.

The aim is not simply to automate more of admissions. It is to make applications easier to assess and decisions easier to make.

Our free International Admissions Journey Health Check can also help you understand how strong those foundations are today.

You will receive:

• a personalised admissions journey score
• insight into your biggest friction points
• benchmarking against sector peers
• practical recommendations for improvement

Because the best admissions transformations do not start with AI.

They start with stronger foundations.

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