Consulting
Find where AI saves you time.
From signals to a direction that holds. We shadow on the work floor, map the work processes and redesign with AI what pays off most.
Our approach
We look for the places where AI really saves time.
Understand is the work between inspiration and execution: from strategic direction to discovery on the floor, so you build what pays off instead of what has the most hype.
Direction
Where does the organisation really stand, and what deserves priority? Scan, strategy, policy, foresight.
Discovery
Where does the work really get stuck? Interviews, shadow days, workflow analysis, a validated pilot.
Build & hand over
A prototype that proves it, a clean hand-over, and guidance so adoption does not stall.
Direction
Strategy, policy and foresight.
Before you build anything, you set the course. Three things that belong to that, which we often take on together:
Strategic foresight
We look ahead with futures thinking: where your sector stands in three to five years, which scenarios are credible, and what that means for the choices you make now. So you build toward a future you can see coming.
AI strategy
From vision to a concrete roadmap: where you focus, in what order, and how you steer it. A direction the team can act on the next day.
AI policy
The guardrails for safe AI use: what is and isn’t allowed, how you handle data and privacy, and where a human keeps final responsibility. Policy that gives people room to work while keeping the risks in view.
Discovery
The discovery cycle, week by week.
We look first; the plan follows from what we find. Not every question is an AI question.
Interviews
We talk to the people who do the work and to those who describe it.
Shadow days
We shadow. Four days alongside customer service and planning say more than four weeks of workshops.
Workflow journey
Every step, every hand-off, every workaround mapped, so the friction becomes visible.
Impact / effort
Which use cases really pay off, and which are just a nice story.
Pilot plan
One validated route, ready to build or ready to hand over to whoever builds.
From the sessions
This is what the work looks like.
An approach for every role
From leadership to operations.
AI touches every role in leadership differently. We connect to the question that sits in your seat.
Strategy and vision
Where the organisation stands in three years, and what role AI plays in that.
Architecture and safe deployment
Which tools, which data, which safeguards. Secure, and maintainable.
Adoption, skills and culture
Bringing people along, building skills, and the rhythm that makes it stick.
Operations and scalability
From one working process to the rest of the organisation, without breaking it.
Deliverables
What you get in hand.
Tangible deliverables, each made to be used by the people who have to carry on with them. Which ones you get depends on the engagement.
Strategy document
AI vision, ambition, governance and a phased roadmap. The direction everything steers by.
AI policy manifesto
What you do and do not do with AI, escalations and responsibilities, plus a one-pager for daily use.
Discovery report
An impact/effort matrix and one validated route to build.
Technical scoping
Architecture, data and integrations worked out, with scope variants (PoC or MVP) so a development partner can build and price it.
Working prototype
Cleanly handed over to whoever will build it, with knowledge and quality secured.
Ruben heeft echt werk gemaakt van onze specifieke vraag en ons op een prettige manier geconfronteerd met de ontwikkelingen waarop we ons moeten voorbereiden. Hij heeft zich daarbij heel goed ingeleefd in ons vakgebied en onze praktijk.
A redesigned work process only counts once the team runs it themselves.
That is why adoption runs underneath everything, from the first session to long after delivery.
And when a use case is worth building? We build the agent. See AI Agents