AI-Native Services & Consulting Luxembourg

Small team. Big reach.
AI that makes it possible.

We orchestrate sovereign AI systems for SMEs, solopreneurs, and NGOs in Luxembourg and the EU — connecting agents, tools, and data so small teams can solve niche problems faster, protect their digital sovereignty, and expand their footprint.

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AI isn't just for big business anymore.

In 2025, only 17% of small enterprises in Europe had adopted AI — compared to 55% of large ones. The gap is real, but so is the potential. European SMBs that move now have a huge opportunity to see results.

17% — of EU small enterprises used AI in 2025 — versus 55% of large ones. That gap is your opportunity. (Eurostat)
30%+ — revenue growth seen in European SMEs that adopted AI, based on a study of 11,429 EU businesses. (European Commission / Emerald Insight)
8x — increase in AI-related hiring at small businesses since 2019. AI isn't replacing jobs — it's creating them. (Gusto, 400K+ businesses tracked)

Find your path

What we do

AI orchestration, knowledge systems, strategy, and ongoing partnership

We design AI systems where the right tools talk to each other — so your team can stop chasing information and start using it.

Multiple AI agents, one coherent workflow. From document processing to client communications, we connect the dots with AI — scoped in extraordinary detail because your data is focused, not sprawling.

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AI orchestration connecting multiple tools and agents

The value of experience, in their words.

She's like a 'Swiss army knife'… a perfect element for any manager looking for someone who can manage intricate digital setups.

Marie Vanderstichel
Marketing Leader · Real Estate

See AI in action

Explore real workflows you can use today — no commitment required.

Newsletter Assistant

AI curates, summarizes, and formats a daily or weekly digest automatically.

ISO 19650 Auto-Filer

AI classifies and stores files in line with ISO 19650 standards.

Competitive Benchmarking

Automated competitor tracking and analysis, delivered weekly.

Helping small teams expand their reach through responsible AI — one carefully orchestrated solution at a time.

Every automation should honor the dignity, creativity, and insight of the people it supports.

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Common questions

Should I hire an AI consultant or figure it out myself?

Both can work. The deciding factor is whether you have an in-house technical person with a few hours a week to track an AI tooling space that changes weekly.

Both can work. The real question is whether you have time to learn the field while running everything else. The AI tooling space changes weekly. What's best practice in March is obsolete by July. If you have an in-house technical person who can dedicate a few hours a week to staying current, you can absolutely do this yourself. If you don't, you'll either pick the wrong tools, build something fragile, or spend so long evaluating options that nothing ships. We help organizations skip the evaluation tax and get to a working system faster.

When is the right time to bring in an AI consultant?

When you have a specific, recurring task that eats hours every week and feels mechanical. Or when you've tried AI tools yourself and hit a ceiling you can't get past.

The clearest signal is when you have a specific, recurring task that eats hours every week and feels mechanical when you do it. Not "we should probably use AI somehow." That's too early. "We spend six hours a week routing inbound emails to the right team, and it's always the same patterns." That's exactly the right time. The second signal is when you've tried AI tools yourself and hit a ceiling: the chatbot gets you partway, but the last twenty percent is too fiddly to maintain by hand.

What questions should I ask before hiring an AI consultant?

Four matter most: comparable past work, ownership of the final code, where your data sits and which jurisdiction can access it, and what ongoing support costs after delivery.

Four matter most. First: can they show you something they built for an organization roughly your size? AI work for a Fortune 500 looks nothing like AI work for a four-person NGO. Second: who owns the code and the system at the end? You should own it, full stop. Third: where does your data live during and after the project, and which jurisdiction can compel access to it? Fourth: what does ongoing support look like, and what does it cost? The system will need adjustments. If they vanish after delivery, the system goes stale within a year.

How do you measure success on an AI project?

In hours and outcomes, not technology. Agree what the current state costs before you start, measure the same thing after the system is live, and compare.

In hours and outcomes, not in technology. Before we start, we agree on what the current state costs you. Usually that's time: hours per week spent on the task, or backlog depth, or response time to a customer. After the system is live, we measure the same thing again. A successful project moves the number meaningfully and the system keeps working without constant intervention. If the AI is impressive but you still spend the same hours on the task, the project failed. We'd rather build something modest that you actually use than something ambitious that needs babysitting.

AI that works with people.
Starting with you.

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