A conversation on the vision behind Byner going Agentic

1. In plain terms, what does “Byner is going Agentic” actually mean?

It’s a real shift in how Byner uses AI, Martijn explains. “We started as a workflow platform, the source of truth for staffing operations across sales, recruitment, contracts, delivery, time, and finance. Then the AI Assistant layer came, where AI adds meaning and recommendations on top of that data. What’s next is the agentic layer: AI prepares work, executes process steps, and takes ownership of parts of the workflow, while the user stays fully in control, always.”

The rollout follows the same logic. “We’re starting with the front office, recruitment and client-facing work, before moving into the mid and back office,” Martijn says. It’s a deliberate sequence: the front office is where the daily friction is most visible, and where getting the human-AI balance right matters most before extending the same principles further into the operation.

2. Everyone claims to be AI-powered nowadays. What actually makes Byner’s different?

For Martijn, it starts with what Byner already is. “We’re an end-to-end platform, from lead to cash. That means we already have all the information in one place, and that’s exactly what lets us feed the AI layer good context.” Sales history, candidate records, contracts, communication: without that, he argues, AI is just guessing instead of knowing.

The second piece is how that AI actually works in the product. “It’s not a separate layer bolted on top. It’s built straight into the normal workflow. Users can choose exactly where they want AI to support them, or take something off their plate, and they can just carry on with their workflow whenever they want.” No switching to a separate tool, no waiting on a bot: AI shows up inside the steps a consultant is already taking.

But the point that matters most to him is the third one. “The agentic layer is designed with one primary goal: improving the quality of service to clients and candidates. If that also makes the process run more efficiently, that’s a nice side effect. But it’s not the main point.” Efficiency follows from better service, in his framing, not the other way around.

3. Does AI make decisions, or just prepare the ground for them?

This is where Martijn is most direct. Describing what happens after AI analyzes a CV, he’s clear about where the human remains in the loop: “AI helps to analyze the CV against the job requirements, but it is the human that decides if the candidate will be invited for an interview. There is a human decision again, because for each of the candidates the human has to decide what is the next step forward. We don’t want AI making that call for you.” That’s not just a safety claim. It’s the first principle Byner’s AI vision was built around: humans make the key decisions, always.

4. How do you make sure AI doesn’t damage the relationship-driven side of the job?

“Relationships come first,” Martijn says simply. It’s another one of Byner’s stated AI principles: technology should strengthen human relationships, not replace them. It shows up structurally, not just as a value statement. The consultant will focus more on doing the meetings with the clients and the candidates.. And AI’s is supporting everything around those meetings. Making sure that they are done in the best way possible.

5. What does the role of the recruiter/consultant actually look like once this is in place?

Martijn describes a shift from operator to relationship manager. Today, he says, a lot of a consultant’s time goes to “administration, data entry, system navigation, manually tracking follow-ups and searching for information across disconnected tools.” In the agentic workflow Byner is building, the consultant’s job is really about two relationships: the relationship with the client, and the relationship with the candidate. The consultant still decides which candidates move forward, but the operator side of the role, the manual coordination, fades into the background.” Not a smaller role, a different one, built around the two people the work has always really been about.

6. How far are we from this being everyday reality?

“End of year,” Martijn estimates, is when the first Byner customers will be working agentically in their front-office processes. But he’s clear that this isn’t a single big-bang launch, and it isn’t a distant, long-term picture either. “This is close. It’s happening now, and honestly it’s moving faster than most people expect, even while we’re building it.” Releases arrive incrementally, each one building on the last. “We know there will always be early adopters and late followers,” Martijn says. “But our ambition is to help and enable as many of our customers as possible be among the early adopters.”

From vision to reality: what’s actually live today?

It’s easy for a conversation like this to stay in the abstract. So we asked Martijn to get concrete: what does this vision actually look like in the product right now, with Byner 4.6?

7. What’s the very first thing that actually changes for a recruiter?

Something simple and nothing flashy, Martijn says. “Once a job is created, the agentic layer can send out a datepicker to the client: ‘I have a new job, can we schedule 15 minutes to align on the details?’, and the client just picks a time in the consultant’s calendar.” From there, AI prepares an interview guidelines document, prompting the consultant to clarify must-haves versus nice-to-haves, team setup, and the kind of person the client is really looking for, before the call even starts. The same pattern repeats later in the process: once a candidate interview needs to be scheduled, a datepicker goes out to them too, no back-and-forth required. “So nothing really special,” Martijn adds, “but it does actually help you save time.”

8. What’s something you deliberately chose not to automate?

Automatically rejecting or inviting candidates based on an AI CV assessment. “That decision stays with the recruiter, always,” Martijn says. “AI can score a CV against the job requirements, tell you who looks like a strong match and who doesn’t, but it’s not the one that decides who gets invited or who gets rejected.” It comes back to the first of Byner’s AI principles: humans make the key decisions. What AI does do is help the recruiter get to that decision faster and with better information, by surfacing the right context so the call itself is easier and quicker to make, without ever making it for them.

9. To close, what’s the one thing you want people to take away from this?

For Martijn, it comes back to the two things he wanted to make sure came through in this conversation: efficiency and quality go hand in hand, and the consultant’s role is shifting toward managing the relationships that actually drive the business, with clients and with candidates. Byner isn’t trying to build the most advanced, most autonomous agent possible, he says. It’s trying to make sure that whatever gets automated creates real space for the things that were always the actual point: judgment, relationships, and the people who make a placement happen. 

He’s also clear about what role Byner itself wants to play in all of this. “We don’t just want to be a system our customers use. We want to be the technology partner that helps them take the right steps forward, a trusted advisor, not just software.” “And this is moving fast,” he adds. “We’d prefer our clients are the ones ahead of that curve than behind it.”