Use case and target metric
We agree which process is being improved and how success is measured, for example handling time or error rate. Without a measurable target, development does not start.
AI developmentAI development
AI development
from use case to operations.
We build AI solutions that plug into the systems you already run and deliver measurable results. One team from the first question to day-to-day operation.
Book a free AI opportunity review
45 minutes, no strings attached. You leave with a written shortlist.
What it is about
AI development
Most AI projects in mid-sized companies do not fail because of the model. They fail because of vague goals, scattered data, or the connection to ERP, CRM, and line-of-business software. So we start by asking which process is worth improving, and only then talk about technology.
For each use case we make a sober choice of model: an API model under zero data retention, an open-source model on your own or EU infrastructure, or a dedicated model of your own. The yardstick is an evaluation set built from your real cases, not an impression from a demo.
What you get is working software, not a report. Delivery runs at a fixed price per package under a works contract with acceptance criteria. Code, configuration, and documentation belong to you.
What we build
The building blocks
Data preparation
We look at what data exists, where it lives, and how good it is. The result is cleaned, versioned datasets for development and evaluation, with personal identifiers masked.
Model choice and evaluation
API model, open-source model, or a model of your own: we compare the options on your cases for quality, cost per transaction, and data protection. The decision is documented and traceable.
Integration with existing systems
The AI component connects to your existing software through interfaces, with roles, permissions, and audit logs. Where outputs have consequences, a person approves them first.
Operations and monitoring
After go-live we track quality, latency, and cost. When models or data change, we re-run the evaluation before anything reaches production.
Approach
From the first conversation to operations
- 01
Free AI opportunity review
A 45-minute conversation with no obligation. Afterwards you know which two or three starting points are viable and which are not.
- 02
Prototype with evaluation
We build a prototype on real, masked data and measure it against the agreed target. You decide on the basis of results, not expectations.
- 03
Fixed-price delivery
Each package comes with a statement of work, fixed price, timeline, and acceptance criteria. It is a works contract, so the effort risk sits with us.
- 04
Operations and further development
We run and maintain the solution, or hand it over to your team with full documentation. Both options are planned in from the start.
By industry
Where this applies in practice
The industry overview lists concrete use cases. Detailed pages are available in German.
- Machinery and plant engineeringUse cases: Preserving expert knowledge
- Logistics and freight forwarding
- Medical practices and outpatient centresUse cases: Billing preparation checks
- Retail and e-commerceUse cases: Returns analysis · Shop search and system integration
- Industry and manufacturingUse cases: Analysing shift and downtime reports
- Utilities and municipal energy providersUse cases: Customer service assistant for instalments, meter readings and moves
- Insurance brokers
- Construction and architectureUse cases: Site diary and defect management application
- Staffing agenciesUse cases: Drafting job advertisements · Preparing candidate communication
- Hotels and hospitalityUse cases: Analysing reviews and drafting responses
Related services
What often comes with it
- AI agents & automationAn agent reads a request, turns it into a plan and carries it out across your systems. Before it changes anything, a person signs off.
- RAG knowledge assistantYour staff ask questions in plain language and get answers drawn from your own documents. Every answer points to the passage it came from.
- On-premise LLMsWe set up open-source language models so that your data stays inside your organisation or the EU. With permissions, audit logs, and controlled updates.
From a project
From a requirements list to a business model
The client wanted an internal tool to run their ERP instances. What emerged was a white-label platform with a licence model, including an AI agent with zero-data-retention architecture.
FAQ
Questions about AI development
How much does custom AI software development cost?
It depends on scope: the number of systems involved, the state of your data, and your requirements for data protection and operations. After the free opportunity review, and a prototype where useful, you receive a fixed price per package. We do not sell open-ended day rates.
How long does an AI project take to reach production?
A prototype with evaluation is usually a matter of weeks rather than months. Integration time depends mainly on the interfaces of your existing systems. The timeline is in the proposal before you commit.
Do we need our own AI model?
Usually not. An existing model with good prompting, access to your data, and structured outputs is often enough. A dedicated or fine-tuned model pays off when data protection, cost per transaction, or a very specific task calls for it. We test that on your cases.
What data do we need to use AI in our company?
Many applications work with documents and records you already have. What matters is a set of real examples with a known correct outcome, so quality can be measured. If that does not exist yet, building it is the first step.
Who owns the code after the project?
You do. Code, configuration, prompts, evaluation data, and documentation all become your property. You can continue development yourself or bring in another provider.
Can AI development be GDPR-compliant?
Yes, if it is built that way: zero data retention for API models, masking of personal data, processing in the EU, and a complete chain of data processing agreements. The formal assessment is made with your data protection officer; we provide the technical documentation for it.
AI development: let's find out in 45 minutes whether it pays off for you.
Book a free AI opportunity review
45 minutes, no strings attached. You leave with a written shortlist.