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Artificial Intelligence

AI you don't
have to explain
but that explains things to you.

We build AI applications you won't want to switch off after three weeks. Concrete use cases. Measurable results. No PowerPoint promises. From chatbots to intelligent document processing.

BVMID AI expert · running AI in production for mid-sized companies since 2022
GDPR‑compliant
Hosted in Germany
BVMID‑certified AI expert
AI made in Germany
Personal · since 2023
75+ projects delivered
Any company size
GDPR‑compliant
Hosted in Germany
BVMID‑certified AI expert
AI made in Germany
Personal · since 2023
75+ projects delivered
Any company size
Where AI already pays off today

Six use cases
we actually build.

💬
Customer service

Internal and external chatbots.

FAQ bots, support pre-qualification, knowledge assistants for your people. Up to 70% of standard requests automated, the rest handed to your team already qualified. Available ready-made as our website chatbot.

"We finally answer customers in two minutes, even at three in the morning."
📄
Document processing

Invoices, contracts, delivery notes, automatically.

OCR, classification, data extraction. Incoming invoices read themselves, check accounts and amounts, and land straight in your DMS or ERP. Manual entry becomes the exception.

"Accounting now handles with two people what used to take four."
🔍
Knowledge management

Your records, finally searchable.

Our RAG-based semantic search across all your documents, emails and wikis. People ask in plain language, the AI finds the answer plus the source. Onboarding new colleagues gets radically faster.

"We have 20 years of company know-how. Until now, buried in 30,000 PDFs."
🎯
Sales & marketing

Pre-qualify leads, generate copy.

Enrich CRM data, score leads, write copy for proposals and pitches. Salespeople spend their time selling, not on research and typing.

"Sales suddenly rediscovered time for selling."
📊
Reporting & analysis

Data that says what it means.

AI reads your ERP data, spots anomalies, suggests causes and writes the management report itself, so you read and decide instead of fiddling. Exactly what our AI-native ERP SHFT was built for.

"My Thursday evenings are mine again."
Process automation

Workflows that think for themselves.

Classify orders, route tickets, prioritise emails, suggest replies. The AI handles the boring 80%, the interesting 20% stays with your people.

"Nobody misses sorting orders first thing on Monday morning."
What AI moves for our clients

Numbers that are
visible after six months.

We measure before and after. If the leverage is too small, we say so. If it's large, we make it transparent. Here's a typical slice from our mid-market projects.

−65%
Processing time for incoming invoices
3.2×
Faster response time in customer service
−40%
Effort for internal knowledge search
11×
ROI in the first year (median, n=18 projects)
Cloud or on-premise?

Three setups.
We recommend honestly.

More on on-premise AI →
Setup 01

Cloud AI

Fast, low-cost to start, best-in-class language quality.

UpsideFast start, top models
DownsideData goes external
Recommended forMarketing, internal tools with non-critical data
Setup 02

On-premise AI

Sovereign, predictable cost, set up with privacy in mind.

UpsideNo data leaves the building
DownsideHigher one-off investment
Recommended forLaw firms, clinics, industry, public authorities
Setup 03

Hybrid

Sensitive data on-premise, generic tasks in the cloud.

UpsideBest of both worlds
DownsideMore complex governance
Recommended forGrowing mid-market firms with mixed workloads

We build all three setups, and in the first conversation we tell you honestly what fits your data situation. For regulated industries we almost always recommend on-premise. For public marketing workflows, cloud is often enough.

How we work

Four phases.
No AI-lab theatre.

01 / Potential

Analysis

2 weeks

We scan your processes for AI leverage. Three prioritised use cases with an ROI estimate, in writing.

02 / Proof

Pilot

4–6 weeks

We build a prototype of the strongest use case. Real data, real users, honest measurement. No "works in the lab".

03 / Roll-out

Production

2–4 months

Integration into your systems, training, monitoring, governance. The AI becomes part of your working day, not an extra tool.

04 / Scale

More use cases

Iterative

What works in the pilot, we carry over to other areas. One AI in production is the prerequisite for the next, not the end point.

Frequently asked questions

The questions that always
come up in the first conversation.

What does an AI project typically cost?
Every AI project is individual. AI projects with us start at €10,000. Hardware prices for on-premise AI (servers, GPUs) are currently highly volatile and only valid as a same-day snapshot. Before any investment we make the maths transparent — on request with a complete business case and concrete ROI. Thanks to our lean structure, we're priced better than the market for comparable work.
Does AI really make us money, or is it just hype?
Both exist. Hype: a generic chatbot with no clear use case. Real money: invoice automation, knowledge search, sales preparation. We start with the use case that has the leverage, not with the technology.
Is our data safe with AI?
With cloud models it depends heavily on the architecture (enterprise plan, data processing agreement, no use for training). With on-premise AI, much tighter control is possible. We configure both with privacy in mind, or say clearly when a use case doesn't hold up.
Doesn't AI hallucinate all the time?
Generic models do. Our production systems use RAG (retrieval-augmented generation): the AI may only answer with what's in your sources, and must cite the source. Hallucinations become rare rather than the rule.
Will our employees lose their jobs?
No, they lose the boring parts. In all our projects the AI became relief, not a replacement. Anyone who used to spend 30% of their time typing data now has 30% more time for the actual work.
Which models do you use?
Cloud: Claude (Anthropic), GPT-4/GPT-5 (OpenAI), Gemini (Google). On-premise: Llama 3.3, Qwen 2.5, Mistral, Gemma. We choose per use case, no single model is universally superior.
What if the AI project fails?
We start with a small pilot that either proves or disproves the case. If it disproves it, you get a clear statement of what doesn't work, plus the insights for other use cases. No burnt-up large contract.
Pricing & investment

Tailored.
And honestly calculated.

Every project is different, so we don't work with list prices. We make the numbers transparent before any investment — including a business case and a concrete ROI if you want one.

Software
from €5,000

Built around your business processes. From a small tool to a complete platform. What it costs and what it returns — we'll tell you after the first call.

Artificial Intelligence
from €10,000

RAG, chatbots, on-premise models, OCR, mail classification. We start where AI delivers measurable value — not where the hype is.

Hardware for on-premise AI
Snapshot

Server and GPU prices are highly volatile right now. We provide an up-to-date calculation before you approve any order.

Why we're more affordable

Lean structures. No sales machine that costs more than the development itself. No corporate overhead. Thanks to our lower cost structure, we're below market price for comparable work — provable in a side-by-side quote.

Business case & ROI

On request, we calculate a complete business case with a concrete ROI before the project starts. So you decide on impact, not on price.

Our promise

As soon as a problem is technically solvable, we're on it. There is no "can't be done" here without a reason — and usually with a pragmatic alternative.

Dig in.
Let's talk

30 minutes. No sales pitch.
An honest assessment.

Drop us a line or book a first call right away. We listen, ask the right questions and tell you honestly whether we can help.