Now deploying across DACH & Benelux SMBs

The diagnostic layer
between AI promise
and SMB reality.

We diagnose the three frictions costing your business the most, then ship a self-contained AI Business Unit that solves one of them end-to-end. Productized, deployable in weeks, owned like equipment.

GDPR-aligned by default Local-first on Apple Silicon Live in 4–6 weeks Owned, not rented
01 · Diagnose

We sit with your operators for a day. We map the three frictions that cost the most EUR — and that current AI can actually solve.

1 day · on-site or remote
02 · Productize

We pick the matching Unit (or compose two), tune it to your workflows, vocabulary and data. You sign off on outputs before deploy.

3–4 weeks · transparent build
03 · Deploy

Mac mini in your office, or a small EU cloud footprint. Live within 6 weeks. Owned like equipment, with a defined outcome KPI.

Week 5–6 · KPI handover
Average engagement: 5.2 weeksDiagnostic-to-deploy success rate: 82%Read full methodology
Deployed across
Munich restaurant group · 4 sites Hamburg corporate boutique · 18 lawyers Berlin orthopedic clinic · 12 staff Stuttgart precision parts · 65 employees Amsterdam retail chain · 9 locations Vienna tax practice · 22 advisors Munich restaurant group · 4 sites Hamburg corporate boutique · 18 lawyers Berlin orthopedic clinic · 12 staff Stuttgart precision parts · 65 employees Amsterdam retail chain · 9 locations Vienna tax practice · 22 advisors
What it is

What exactly is an AI Business Unit?

A new category between custom consulting and generic AI tools. Smaller than a custom build, sharper than a SaaS subscription, owned outright.

An AI Business Unit is a pre-packaged, deployable AI module that solves one specific business friction end-to-end — software, models, integrations, operator training, and a defined outcome KPI. You buy it like equipment, not a consulting engagement. €12,000–€18,000 per Unit, with rental and 0% installments. Most Units run locally on a Mac mini or Mac Studio in your office, so privileged data never leaves the building.
Diagnosed, not guessed
We start from your real workflow, not an AI feature list.
One Unit, one outcome
Each Unit owns a measurable KPI. No scope creep.
Owned, not rented
One-time price option — no recurring lock-in.
Local-first capable
Apple Silicon + open-weight models for sensitive sectors.
The gap we fill

Why the SMB AI market is a missing middle.

Two extremes dominate today: tools that don't know your business, or consulting that ships decks instead of deployments. The Unit is what fits between them.

Generic AI tools
ChatGPT, Copilot, Gemini
Workflow-blind
  • No knowledge of your data, voice, or process
  • Per-user fees scale linearly with adoption
  • Sensitive data leaves your jurisdiction
  • Available immediately, low friction
Typical cost
€20–€60 / user / month
Time to value
Days
AI Business Unit
Productized, diagnosed, owned
Diagnostic + pragmatic
  • Diagnosed against your specific friction
  • One outcome KPI per Unit, in writing
  • Local-first option — data never leaves your office
  • One-time price, no per-seat fees
Typical cost
€12k–€18k one-time
Time to value
4–6 weeks
Custom AI consulting
€500k discovery decks
Slow & expensive
  • Theoretically anything is possible
  • 9-month engagements that often ship nothing
  • Pricing tied to consultant hours, not outcomes
  • You inherit the maintenance burden
Typical cost
€80k–€500k+
Time to value
3–9 months
How we actually work

Four steps. No discovery phase. No steering committee.

A repeatable methodology refined across dozens of SMB engagements. We refuse engagements over 8 weeks because longer engagements rarely ship.

01

Diagnostic call (15 minutes)

An operator on your side, a senior diagnostician on ours. We surface the three frictions that actually move EUR.

02

On-site or remote audit (1 day)

We shadow workflows, measure baseline KPIs, and confirm Unit selection — or recommend you don't buy yet.

03

Productize & configure (3–4 weeks)

We tune the Unit to your data, vocabulary, and integrations. You sign off on actual outputs before deploy.

04

Deploy & stabilize (week 5–6)

Hardware racked or EU cloud provisioned. Two weeks of hand-holding. KPI review at day 60 and 90.

From the field

What 90 days looked like at a 4-restaurant Munich group.

The Restaurant Loss Control Unit went live in week 5. The first variance brief landed two weeks later — and paid for the Unit by month three.

See the Unit
"First brief landed two weeks after go-live. It told us our Wagyu portion was 18g over target across two services — €840 in the first month alone. We'd have caught it at the next stocktake, six weeks later. The Unit paid for itself by month three."
Operations Director
4-restaurant group, Munich · 90 days post-deploy
Food cost recovered
3.1%
First insight
Day 14
Payback
Month 3
Setup time
5 weeks
FAQ

Frequently asked questions

Free, no slide deck

Diagnose your top friction in 15 minutes.

One call. One operator on your side, one diagnostician on ours. We map your top three frictions to specific Units, with realistic ROI estimates — or tell you honestly that AI isn't the right answer right now.

About 1 in 4 calls ends with us recommending you don't buy anything.