Agilytic

14/10/2026

Good intentions aren’t enough. Poor-quality data, unchecked assumptions, and badly designed processes can lead to harmful outcomes, even when teams mean well.

So how can organisations build AI they can trust?

In this article, Agilytic’s Managing Partner Julien Theys shares why responsible AI requires more than technical safeguards. It means questioning biases, assessing potential harm, and building ethical checks into development, with ongoing monitoring once systems are in use.⁠⁠

Read the article:

https://www.agilytic.com/blog/developing-ethical-ai

08/10/2026

Diego Lafeuille spent a few weeks with us during his studies. He has now graduated, and is joining us full-time!

Swipe to learn more about Diego and his Agilytic story 👉

02/10/2026

The Agilytic coffee chats are back!

It's Mathieu's turn to answer some questions on his life, vision and interests. Swipe to learn what team building he would organize (spoiler: it involves Koh-Lanta) 👉

30/09/2026

We helped a real estate investment company use 𝗴𝗲𝗼𝘀𝗽𝗮𝘁𝗶𝗮𝗹 𝗱𝗮𝘁𝗮 to score and rank buildings by their renovation and expansion potential.

The output(s):
- A prototype scoring model
- An interactive map highlighting the highest-value targets
- A clear picture of what data is available, at what cost, and where the gaps are

Full case study here:

How a real estate company uses geospatial data to identify buildings worth investing in.

25/09/2026

Ask a data manager how many Power BI dashboards their organization has… Then ask how many are actively used.

The gap is almost always uncomfortable: fifty dashboards are on the server but only eight are opened regularly, with three versions of the same sales report (none of which agree on the revenue figure 🙃).

We wrote about how this plays out in practice, and how to fix it:

Power BI dashboard sprawl is a governance problem, not a build problem. Here's what fixes it and how AI makes maintenance fast enough to matter

23/09/2026

We recently welcomed Charles Nickmilder to Agilytic!

Charles is a data scientist with six years of experience designing and scaling machine learning solutions on large, complex datasets, including satellite imagery, sensor time series and spatial data. He holds a PhD in agricultural and environmental sciences and has worked on multi-partner research programmes in Belgium and New Zealand.

We asked him a few questions, and he answered 👉

16/09/2026

Our client has a mission: helping businesses on their sustainability journey through coaching and tailored roadmaps.

Up until now, giving organizations recommendations suited to their specific context was a manual process, and a time-consuming one. That's why Agilytic designed an AI chatbot that provides actionable guidance in real-time, for a faster & more personalized experience.

Want to know how we did it?
Follow the link in the comments!

11/09/2026

At the risk of stating the obvious: AI makes PowerBI development faster. But that's not even the most interesting part!

The real shift is what happens to the collaboration when the timeline compresses that much.

We wrote about it, based on our own experience using AI-assisted workflows for Power BI delivery. What changes, what doesn't, and what it looks like in practice.

Read it here:

AI-assisted workflows are powerful tools in Power BI dashboard development. Discover how (and why) they work.

09/09/2026

We know. Your shared customer inbox is full. And everyone categorizes emails differently.

This is what happened to our client, an international car leasing company.

Here is what we built for them:
- AI-based categorization, using a language model to read each email and assign it to the right request category
- Automated routing, directing emails to the appropriate handler

The results? You will have to check our website to see them:

How we implemented inbox automation to reduce manual email handling in an automotive company

04/09/2026

PSA: just because Microsoft is investing in Fabric doesn't mean you 𝘩𝘢𝘷𝘦 to migrate right now.

For instance, if:
- PowerBI is enough for your use cases
- You're already on Databricks or Snowflake
- Someone else is pushing the migration...
you might want to hold your horses.

On the other hand, there are 5 cases in which a migration might be the right move.

Find out in our latest blog post:

Should you migrate from Power BI to Microsoft Fabric? An honest decision guide for Belgian leaders: when migration pays off, when it does not, and what it actually involves.