Ardinois is an AI strategy and delivery partner for the enterprise. We set the direction, design the operating model and architecture, and build with your teams until it runs without us — led by two partners who have done this inside H&M, Nike and enterprise IT.
We help define your AI strategy and drive the business transformation. We know how AI impacts the P&L and your most consequential processes, and we (re)define your AI-native operating model.
We build the architecture layers for agentic AI: the knowledge model, the information architecture and the integrations that bring AI into your business. And we guide the technology and vendor decisions.
We build the AI and agentic solutions that drive impact, automation and decision making — with our teams, yours, or your existing partners.
Classifying inbound documents, matching payments, routing quality events. Tasks with clear rules and a system of record behind them are where AI agents act first.
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Replenishment exceptions, price and promotion checks, content for thousands of products. The signals already exist — the step is letting agents act on them inside rules your teams set.
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Legal, tax and HR knowledge across countries and versions. AI can apply it once the content has structure — we design the platform and knowledge layer behind it.
ExploreA CAIO, CDAO or lead architect for agentic AI — owning the agenda, the portfolio and the team until the role is filled inside.
4–6 weeksThe diagnosis: your AI portfolio classified, the structural gaps named, and the order to close them in.
Fixed scopeA platform selection and RFP, an information audit, a context and knowledge model, an operating-model design.
OngoingBoard and executive sparring, keynotes, and AI literacy tracks for sponsors, leaders and builders.
A supplier asks where an order is. The assistant reads the systems and drafts a reply; a person checks it and presses send. Useful — it saves minutes. The work still belongs to a person.
The same supplier asks. The agent answers within its rules, updates the order record and logs what it did. Work has been handed over — the value is capacity, not minutes saved.
The same people do the same work in less time. Real, but diffuse — it rarely lands on a P&L line.
Work is handed over: volume at the same headcount, a business case per process, measurable for the first time.
Processes staffed by human and agentic workers. A leadership question before a technology one.
The step from Inform to Act is an architecture decision.
Every initiative valued upfront, before build, against the P&L line it was meant to move
Retail / ApparelSignificant EBIT uplift through reduced markdowns, fewer stockouts and improved close-out decisions
A practical framework and execution guide to AI transformation — how to build an operating model that delivers AI value at scale.
Name what is structurally missing.
Design the architecture; hold the role until it is filled inside.
Build it — every component ends with an owner inside.
Enter at the phase that matches where you are — each one ends with a decision your organisation can take without us.
Spent a decade inside global retailers like H&M and Nike. Scaling & leading Data&AI at enterprise level, impacting the entire value chain.
H&M Group — VP Artificial Intelligence & ML
Nike — Director Artificial Intelligence EMEA
EY — Data Consultant, Financial Services
MSc Aerospace Engineering, TU Delft
Built four companies from scratch, then ran enterprise information and operations at a leading consulting firm. He thinks in systems and builds operating models that work.
Xylos — COO & Director Enterprise Information
Serial founder — RedTree, Formica.digital, streemr.fm
Pauwels Consulting — Director of IT Services
Vlerick Business School
30 minutes. No pitch deck. No obligation. If the assessment would tell you to wait, we will say so in the call.