About Humanxt.ai

The people behind
Humanxt.ai

Humanxt.ai was founded by Alf Parmentier. Together with Joyce van Vliet and Machteld Parmentier as partners, he builds from one conviction: an AI transition only succeeds when people are the starting point.

That is why we bring together different perspectives and expertise. We work with a circle of specialists whom we involve based on the question at hand and what an organization needs.

Alf Parmentier — CEO & Founder

Strategy, technology
and AI transformation

Alf knows what technology makes possible, and has learned from experience that real transformation does not begin with the technology itself. For years he has worked at the point where technology, strategy and organizational change come together.

With a background in IT leadership, digital transformation and enterprise architecture, he looks past tools, models and the latest AI hype. He asks the questions that matter: what does AI change in an organization, what does that ask of leadership and of people, and where does technology add real value?

He does not ask those questions from the sidelines: he runs the Spark sessions himself. What he does there is help organizations set their own direction, not a supplier's, and not the hype's.

He wrote De machine wordt slimmer, wat doe jij?, on the next step for people in the world of AI. In Dutch for now; an English edition is being translated.

Alf Parmentier
Joyce van Vliet
Joyce van Vliet — Partner

Strategy, organization
and change

Joyce understands how organizations work, and knows that a change only counts once people take it on. She brings structure to complex questions and translates ambitions into concrete changes that fit the organization and the people who have to work with them.

Drawing on her experience in consultancy, customer experience, program management and organizational change, she looks at AI from the question of what it really adds. How can technology improve processes and support people, without losing sight of where human qualities make the difference?

Joyce combines an analytical eye with a practical approach. She asks the question behind the question and connects strategy, processes and technology with what people need to be able, and willing, to work with them. That way AI is not a goal in itself, but part of a change that also works in daily practice.

Machteld Parmentier — Partner

Management, leadership
and collaboration

Machteld sees where a change stalls, and it is rarely with the people doing the work. That is often where the movement starts: with curiosity, with willingness, and sometimes with urgency. It stalls the moment management does not move along with it.

That is where her work is. For years she guided complex public and semi-public organizations through change, and she knows how to speed that up without losing people along the way. She works with managers on what AI is changing in their people’s work, and on what that asks of the way they lead.

Her way in is the human one: communication, personal strength, the quality of collaboration. Get that right and AI becomes something a team works with at ease rather than on edge. That is a shared responsibility — of every employee at every level, and of the organization itself.

Machteld Parmentier
The people around us

A team of three,
a circle of specialists

We do not carry out the work just the three of us. Around us stands a circle of people we work with: consultants, specialists in organizational and cultural change, technologists and AI specialists.

For each assignment we decide what is needed and who fits: from our own team and from the circle around it. A program with hundreds of participants asks for different hands than a session with a single board, and a sector we do not know our way around asks for someone who does.

So for each client we bring in the people who fit best: this organization, this sector, this culture. Not whoever happens to be available, but whoever makes the difference.

What we stand for

Four things we
focus on

Critical and hopeful

We are not evangelists who claim AI solves everything. And not doomsayers warning about the end of work as we know it. We stand in the middle of it, with both eyes open. We look hard at what AI means for people, rather than at what she promises, and build from there, not from hype and not from fear.

Tangible and measurable, not a vision document

We do not deliver a thick report that is right and does nothing further. Our interventions are tangible and the change they bring about is measurable. From the first session to embedded practice: every step is designed to lead somewhere, not to be ticked off.

The quiet cost of an unguided transition

An organization that runs entirely on AI a few years from now, but lost its people along the way, in motivation, in ownership, in the sense that they matter, has no head start. It has a more efficient process and an army of people who have checked out. That is the cost nobody puts on the balance sheet, and the one we make visible, before it has to be paid.

Why, not how

Most AI questions start with "how do we apply this?" We start with "why?" Where does this organization want to go? What does it want to remain, even when everything around it changes? Asking that question first is what separates an AI project that is forgotten in two years from a transition that makes an organization stronger.

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