AI leverage doesn't spread by buying licenses or commissioning a slide deck. It spreads when your team understands what's possible and you find the projects that actually pay off.
Tools get used when people understand what they're for. A hands-on workshop turns a handful of power users into a team that reaches for AI on the right problems.
The highest-ROI ideas sit where what's newly possible meets what your team does all day. The people who know the painful workflows are in the room, not on a vendor's roadmap.
You leave with a prioritized shortlist tied to real workflows and real numbers, not a wish list of buzzwords. We're as clear about what AI can't do for you as what it can.
Concrete outputs, not inspiration.
A shortlist of projects ranked by ROI and effort, each anchored to a real operational workflow.
Hands-on literacy across the people who'll actually use AI, so adoption doesn't hinge on a single champion.
One project scoped and ready to pilot, with a concrete way to measure whether it worked.
A grounded view of where AI fits your business today and where it doesn't, so you don't waste a quarter finding out.
A short, focused engagement, not a six-month consulting project.
We learn how your operations actually run today, with the people who run them, before proposing anything.
Your team works directly with AI on your real problems, building literacy and surfacing ideas as we go.
Together we rank the opportunities by impact and effort, and pick the one worth piloting first.
We turn the top opportunity into a concrete pilot plan, with success criteria you can measure.
Everyone promises to find high-impact use cases. Here are three commitments we make that our competitors do not.
A big model isn't always the right one. On many business tasks (classifying, extracting, reconciling), a smaller model reaches the same result for a fraction of the cost and without sending your data elsewhere. We measure both and show you the gap, instead of selling you the largest by default.
A decision nobody can explain will not survive production in a serious company. We design systems where AI proposes and a human validates on anything critical, with a trace of what led to what. That is what makes a project auditable, and defensible in front of your own customers.
Some data must not leave your infrastructure. We can run these systems on your servers or in your European cloud, and we will tell you plainly what that costs extra, when it's worth it, and when a managed service is enough.
None of our competitors publishes a price. Here is ours, based on engagements we have actually run. You'll know immediately whether your need and your budget sit in the same zone.
| Format | Indicative budget | What you get |
|---|---|---|
| Express scoping (1 process) | €2,000 to €4,000 | A half-day workshop on one specific process, a written summary, and a clear answer on feasibility and the pilot's order of magnitude. |
| Full AI audit | €6,000 to €12,000 | A map of your operations, a backlog of use cases ranked by ROI and effort, the model choice for each, and a scoped pilot with its success criteria. |
| Audit plus delivered pilot | from €15,000 | The audit, then building the first use case through to production, with your teams trained on it. |
Two honest caveats: these figures are indicative and firm up after a first conversation, and the cost of the audit comes off the pilot if you hand it to us. If an off-the-shelf tool already covers your need, we'll say so before billing you for an audit.
Beyond workshops, we work as a fractional CTO and AI build partner — turning the prioritized backlog into shipped systems, and bringing the engineering to do it. Same operations-first approach, all the way to production.
Already have software nobody can maintain? See code audit and project takeover
Leaders and teams at companies that ship a digital product or run data-heavy operations and want to move from AI curiosity to concrete, ROI-ranked projects. No prior AI experience is required.
It's a short, focused engagement — typically a few sessions over a couple of weeks, not a multi-month consulting project. The output is a prioritized backlog and a scoped first pilot.
A prioritized backlog of AI opportunities ranked by ROI, a team with hands-on literacy, one project scoped and ready to pilot with measurable success criteria, and an honest read on where AI does and doesn't fit your business.
Yes. Beyond the workshop we work as a fractional CTO and build partner, turning the prioritized backlog into shipped systems with the same operations-first approach.
It's specific to you. We start by mapping how your operations actually run, then the workshop and the resulting projects are anchored to your real workflows, not a generic curriculum.
An AI audit is a structured assessment of where AI can realistically create value in your business. We map how your operations actually run, surface the highest-ROI opportunities, rank them by impact and effort, and give you an honest read on where AI fits and where it doesn't. We run ours as a hands-on workshop, so your team builds real literacy while we do it, and you leave with a prioritized backlog and a scoped first pilot, not just a report.
Budget €2,000 to €4,000 for express scoping on a single process, €6,000 to €12,000 for a full AI audit with operations mapping and a prioritized backlog, and from €15,000 if you want the first use case delivered to production straight after. The cost of the audit comes off the pilot if you hand it to us.
Often no. On the most common business tasks (classifying documents, extracting fields, reconciling lines), a smaller model reaches the same quality for a fraction of the cost, with lower latency, and it can run on your own infrastructure. We measure both options during the audit and show you the real cost and quality gap, rather than defaulting to the largest.
Yes, and depending on how sensitive your data is it's sometimes the only acceptable option. We can deploy these systems on your infrastructure or in a European cloud. The audit prices what self-hosting costs extra, and tells you plainly when a managed service is enough.
Tell us what you're trying to move. We'll show you where AI actually fits — no pitch, just clarity.
