AI · Implementation · 2026

AI that produces results.

I help companies move from curiosity about AI to systems that hold up in production, with the experience of someone who builds with these tools every day.

What it is

There are two relationships with AI in this studio, and they don't contradict each other. When I build websites, AI is a tool of mine — quiet, in service of curation. Here it's the opposite: AI is the work itself that you ask me for, implemented in your product or taught to your team. One is the AI I use to do my work; the other is the AI I build for you. This page is about the second.

01 — Where I come in

From strategy to production.

01

AI strategy and roadmap

Where AI genuinely solves a problem of yours — and where it's an expensive distraction. You leave with a prioritized roadmap, not a list of trends.

In practice

  • Audit of real opportunities
  • Prioritization by impact and effort
  • Roadmap by quarter
  • Cost and risk estimate

02

AI workflow automation

Processes that eat hours today — triage, replies, classification, drafting — start running assisted, with a person in control where it matters.

In practice

  • Triage and routing
  • Assisted drafts and replies
  • Classification and extraction
  • Human oversight where critical

03

AI features in your product

Semantic search, assistants, generation, recommendation — built inside your product, with evaluation, guardrails, and cost under control.

In practice

  • In-product search and assistants
  • Evaluation and quality testing
  • Guardrails and limits
  • Per-usage cost control

04

Team enablement and training

Your team learns to use these tools with judgment — what they do well, where they fail, how to trust them without trusting too much.

In practice

  • Hands-on sessions by role
  • Internal playbooks and prompts
  • Criteria for when (not) to use
  • Post-training follow-up

02 — How I work

How a project usually goes.

01

Diagnosis

I see how you work today and where AI has real return.

02

Roadmap

I prioritize by impact and risk — what to do first, what to leave.

03

Pilot

We build one small, measurable case before widening it.

04

Scale and handover

What works moves to production and into your team's hands.

03 — Representative work

Only what I can prove.

I don't show AI numbers I can't prove. On a call I'll tell you plainly what's realistic for your case and what isn't.

Book an intro call

04 — Frequently asked

The right questions.

From €7,500 per project + VAT

Price and scope

How I set the price

The prices published for packages and projects are minimums, and the proposal fixes the final price for your scope. The Strategic Audit, the Diagnostics, the Consulting Session, the Team Workshop, Monthly Advisory and the Care plans have a fixed price. There are no discounts.

  1. The conversation first

    The intro call lasts 30 minutes and is at no cost. I learn your context, goals and timeline before discussing figures. If the project is not one for me, I say so.

  2. Then the scope

    The written proposal sets out what is in, what is out, the timeline and the instalments. As a rule, it follows the Diagnostic for Software and AI, or the Strategic Audit for Web.

  3. One figure, no fine print

    The proposal carries a fixed price for that scope. No meter running, no surprises on the invoice. What you sign is what you pay.

Start with 30 minutes, no obligation.

Book an intro call

Next step

Let's find where AI actually serves you.

The intro call lasts 30 minutes and is at no cost. After it, the AI Diagnostic reviews the tasks in your company, designs a pilot and includes a fixed-price proposal.