CTO of Nedap, he inherited what most leaders only dream of: a 95-year-old Dutch technology company with radical transparency baked into its DNA. Information flowed freely. Everyone contributed to decisions. The culture thrived.

Since 2019, Nedap had been using Slite to centralize their knowledge—documentation, processes, and insights all neatly organized in one platform. They'd solved the challenge of getting information into one place. What they hadn't anticipated was what would happen when that place became too successful.

Then growth hit.

As Nedap's healthcare division ballooned from 150 to nearly 400 employees, that same well-documented openness created an unexpected bottleneck. More people meant more conversations, more documentation, more decisions to track. What worked beautifully at startup scale was drowning teams in corporate abundance.

"We really started to struggle with the information problem. There was so much being produced, especially after COVID when all meetings went online and note-taking increased dramatically," André explains.

Now, with over 1,200 employees globally and a culture encouraging everyone to stay informed, the volume of information flowing through Slack channels, Slite docs, meeting transcripts, and project updates became overwhelming. Even their well-organized knowledge base couldn't solve the navigation challenge.

"Some people were planning their mornings just to try and catch up, and it didn't work anymore. We have a culture where we want everybody to interact, but having gaps in your knowledge prevents you from contributing to discussions you might actually care about."

The challenge wasn't documentation. Nedap had mastered that years ago. The challenge was discovery: how do you find the right information, in context, when you need it most?

The homegrown experiment

As a technology company with an "AI mandate," Nedap refused to accept information overload as the price of growth. They'd already tried building their own solutions.

André's team created a custom GPT connected to their Slite documentation when ChatGPT launched. It worked reasonably well, but suffered from the classic AI hallucination problem. According to André, the system would confidently provide wrong answers about basic company policies.

The team had experimented with various search solutions over the years, but search assumes you know what you're looking for. They needed something smarter: a system that could understand context, provide reliable answers, and crucially, admit ignorance when appropriate.

Enter Super.

"The first thing that impressed me about Super was that it actually gives a sourced answer. But the biggest change was when it said 'I don't know.' Previous solutions always knew something. They were never right, but they were fully convinced. That 'I don't know' response was the biggest breakthrough."

Since Nedap was already a long-term Slite user, Super felt like natural evolution rather than disruptive change. As André remembers it: "It magically appeared in Slite at some point, and it just worked for us."

Super in action

Everything, everywhere, indexed

André's approach was characteristically direct: "We attached everything that we have and pumped as much information in there."

Nedap's Super instance now indexes content from Slack, Slite, GitHub, Confluence, Notion, Jira, HubSpot, SharePoint, and several custom internal systems including their decision tracker and intranet portals.

But quantity alone doesn't solve information problems. The real breakthrough came from Super's ability to let them bring their custom sources.

And of course, [I like] the variety of sources, but also the option to add our own custom stuff. Because we cannot expect you guys to always add every specific source. Plus, we also have internal stuff that we first we keep track of all of our decisions in a specific system that we built ourselves. We also feed that into Super which is great because then, it can combine all of these things together.

This reliability transformed how teams at Nedap approach internal questions. Customer success managers can now get instant answers while on calls with clients, knowing Super will provide accurate information drawn from previous discussions, documentation, or meeting transcripts.

For a multinational company where English is the primary language but teams speak Dutch, Spanish, Polish, and Ukrainian, Super's multilingual capabilities proved unexpectedly valuable.

"You can ask your question in Dutch and get an answer, even though all the documents are usually written in English. Sometimes meeting notes will be in Dutch because the meeting was conducted in Dutch, but Super can handle both seamlessly."

The digest that runs the company

What started as a weekly summary feature became André's most-used Super capability, though not in the way anyone expected.

I think surprisingly the digest is, I would say, my most used feature. We have so much content flowing into Super that the weekly digest really doesn't work because I set it to a daily one because there's just too much content in the weekly digest that it doesn't work anymore.

Now, every weekday morning, André receives a summary of the previous day's activity across all connected platforms. For a company generating massive amounts of information across multiple time zones, this daily snapshot provides essential context without requiring hours of manual catch-up.

As André puts it: "It's the only newsletter I read."

The digest has become so integral to his workflow that he's considering creating multiple versions: one for Slack discussions, another for Slite documentation updates, and others for specific data sources.

The success of these digests revealed something important about information consumption at scale. Teams needed curated, contextual summaries rather than access to everything all at once. This insight led Nedap to create specialized assistants for different teams and use cases, each drawing from relevant subsets of their complete knowledge base.

But the real magic happens when these digests spark discussions.

"When you ask Super a question later, it often references both the original documentation and subsequent discussions. It gives a very nicely well-rounded answer because it can see the full conversation around any topic."

Bespoke intelligence for every team

Nedap's created a system where knowledge flows naturally through specialized assistants for specific teams.

Take the customer success assistant.

Tightly integrated with HubSpot, it provides customer success managers with instant access to customer histories, previous issues, and context from past interactions. When a client calls with a complex question, the team can quickly surface relevant information without interrupting colleagues or scheduling unnecessary meetings.

"Customer success people can get overviews of who contacted them, what issues were happening with that customer, what explanations have been provided."

There's also the on-call assistant.

With multiple teams rotating through on-call responsibilities, not everyone can master every system. The assistant draws from incident histories, post-mortems, and troubleshooting documentation to help developers handle issues outside their core expertise.

"Even if it's not in your core competency, it's a great starting point."

Rather than escalating immediately or spending precious minutes searching through scattered documentation, on-call engineers can get contextual guidance based on similar past incidents.

Welcome back, information democracy

Super is changing how people think about finding answers. Teams now use Super proactively rather than as a last resort.

"People are saying they're using it more often, and that prevents them from having to send someone a Slack message or organize a meeting."

Account managers no longer need to interrupt multiple developers for basic technical context. As André explains, "That is very costly on the developer side because you have to reiterate these things over and over." Initial questions get resolved through Super, leaving human conversations for complex discussions that actually benefit from collaboration.

The multilingual capabilities have created another unexpected benefit: information democracy. T

eam members can ask questions in their native language and receive accurate answers removing barriers that many global companies struggle with but rarely address directly.

What André wants - Super everywhere

André's vision extends well beyond today's question-and-answer interactions. He's thinking about active intelligence systems that participate naturally in work:

"I want to have a meeting agent that you can actually ask a question during discussions, or that can proactively give information based on the conversation being had, like a human but with our entire knowledge base available."

Institutional memory that never forgets, never sleeps, and joins every conversation when needed.

His team continues exploring browser extensions, API integrations, and those active meeting participants he envisions.

For now, though, Nedap has found something many growing companies struggle to achieve: knowledge sharing that actually gets better as the organization scales. The daily digests keep evolving, specialized assistants learn from real conversations, and teams discover new applications organically.