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Partner Interview
Published September 8, 2025

Topicus: Education Software AI Efficiencies

Executive Bio

Former Executive at Topicus

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Interview Transcript

Disclaimer: This interview is for informational purposes only and should not be relied upon as a basis for investment decisions. In Practise is an independent publisher and all opinions expressed by guests are solely their own opinions and do not reflect the opinion of In Practise.

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That's interesting. What makes it so difficult to switch from Topicus solutions? Is it the data migration, integrations, retraining, compliance, or something else?

All of the above. It's really challenging to extract data from systems and place it correctly. For example, in the education sector where I primarily worked, we had about 25 consultants dedicated to data migration. Additionally, our DevOps teams, consisting of 10 people, focused on transferring data from other solutions into our database. It's quite a complex task. When you have around a thousand customers per company that we aim to serve with our solutions, the cost can exceed €100,000. However, companies are often unwilling to pay that price, so we typically offer it at a reduced cost of around €50,000 or €40,000. This depends on the financial strength of the company we are assisting. Our focus is on the long-term game and creating cash flow, which sets us apart from most competitors. They lack the financial flexibility to reduce implementation costs and don't have the necessary experience. If you examine the sectors where Topicus is active, you'll see that Topicus is still gaining market share, while other businesses are losing theirs and failing to win tenders. At Topicus, competitors struggle to match us in solutions, consultancy, and pricing.

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Now, moving on to the AI aspect and how it will affect the software industry. Considering short-term revenue growth, how do you see budgets from companies or governments shifting from traditional software incumbents to AI-native software solutions? Of course, incumbents can sell AI additional modules, but the main risk or question is how the growth rate changes in the short term due to this new technology. Companies might choose to allocate their budgets differently. For example, if I have $100,000, I might invest in normal SaaS software or on-premise software, but there's a new AI module, so I might shift some of my budget to AI. That's one way to think about it, but companies might also allocate additional budget to AI solutions. I wanted to hear your view on this.

Initially, Topicus underestimated the impact of AI. Two years ago, during a summit in Toronto with various CEOs active at Constellation Software, there were different workshops. Only one out of 500 workshops was about AI. At that time, AI wasn't considered a big deal; it was more about reading, making films, or enhancing text. They didn't consider AI as a tool for building more code or creating insights from the vast information in our systems.

This is a snippet of the transcript.to get full access.

Now, moving on to the AI aspect and how it will affect the software industry. Considering short-term revenue growth, how do you see budgets from companies or governments shifting from traditional software incumbents to AI-native software solutions? Of course, incumbents can sell AI additional modules, but the main risk or question is how the growth rate changes in the short term due to this new technology. Companies might choose to allocate their budgets differently. For example, if I have $100,000, I might invest in normal SaaS software or on-premise software, but there's a new AI module, so I might shift some of my budget to AI. That's one way to think about it, but companies might also allocate additional budget to AI solutions. I wanted to hear your view on this.

Topicus has the potential to gain significantly if they can create locally managed LLMs and use them on their data, whether in healthcare, government, or education solutions. When I was at Topicus, we did a pilot with AI-based fiber coding and developed a search engine within one of our propositions in just two weeks. It was something we wanted for over three years but couldn't achieve due to cost inefficiencies. With AI, and some experimentation we accomplished it in a few weeks. It's now one of the most used features in the solution we had.

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