From Prospectus to Conversation

For years, finding out where you can study has meant searching through prospectuses, comparing admission requirements and trying to make sense of information scattered across university websites.

But what if you could start with a question instead?

I have these matric marks. I want to study IT. Where can I qualify, and what are my options if I don't meet the requirements?

That simple change, from searching for information to asking for it, could reshape how learners explore higher education.

The shift is already happening

UJ offers a glimpse of what this looks like in practice.

Its MoUJi chatbot has evolved from a student enquiry tool into a conversational assistant powered by large language model technology. In August 2026, UJ announced improvements that allow it to understand context and respond in English, isiZulu, Afrikaans and Sesotho.

Two ways to find your options

The important change isn't the chatbot itself. It's the possibility of making complicated information easier to explore.

The problem with going beyond one university

A university can build an assistant around its own programmes and admission rules. But learners don't necessarily think in terms of institutional boundaries.

They want to know where they can study, what they qualify for and what alternatives are available.

Bringing these together is much harder than building an assistant for a single institution. The information lives in different places, follows different rules and changes over time.

AI is only half the equation

Connecting a language model to a collection of prospectuses might seem like enough. It isn't.

An AI assistant can give a convincing answer and still get an admission requirement wrong. For a learner, that could mean missing an opportunity or making an application decision based on incorrect information.

A better interface doesn't automatically mean better information.

The underlying data needs to be structured, checked and maintained as institutions update their programmes and requirements.

Building the layer behind the conversation

This is where we see an opportunity at UniApplyForMe Labs.

We're making South African higher education data accessible through APIs, giving developers a foundation for building tools that help learners navigate their study options.

We've also built an MCP server for UniApplyForMe, allowing compatible AI assistants to interact with higher education data through tools.

Here's how the pieces fit together:

The same data can power more than chatbots. Developers could build eligibility checkers, qualification comparison tools, personalised guidance platforms and other applications without having to collect every institution's information from scratch.

What comes after the prospectus?

Prospectuses aren't going away. Official requirements and university application processes will remain important.

But the prospectus doesn't have to be where every learner starts.

The next generation of education tools could let learners:

• Explore study options in their own words.
• Understand why they meet some requirements but not others.
• Discover alternative pathways they hadn't considered.
• Find relevant funding opportunities.
• Ask follow-up questions without starting their research again.

The real opportunity isn't simply putting a chatbot on top of existing information. It's making that information easier to access, understand and use.

That's the shift we're working towards at UniApplyForMe Labs.

From prospectus to conversation. From searching for options to understanding them.

And, most importantly, from information that exists somewhere to information that people can actually use.