Bring artificial intelligence into your day-to-day operations.
We identify the processes where AI pays off, test it at small scale with real data, and integrate it into your systems.
Four steps, no leaps of faith.
01
Discovery
We map processes, data and systems. Deliverable: a list of opportunities with estimated value and cost.
02
Pilot
We build the highest-value opportunity on real data, within a few weeks.
03
Integration
We connect the solution to your ERP, CRM, e-commerce or internal tools, with access control and logging.
04
Operation
We monitor accuracy and cost, train your team and keep improving the solution.
Where AI pays off in a business.
-
Knowledge assistant
Answers from your own documents, procedures and databases, with references to the source.
-
Document processing
Reading invoices, orders and contracts and entering them into your systems automatically.
-
Customer service
Round-the-clock answers on email, chat or forms, with hand-off to a human when needed.
-
Workflow automation
AI agents that carry out steps across systems: checking, updating, notifying.
-
Data analysis
Plain-language questions over your data and automated reports.
-
AI inside your product
New AI features in an existing application or SaaS platform.
Compliance by design.
We design for the GDPR and Regulation (EU) 2024/1689 on artificial intelligence (the AI Act). We choose models and hosting according to how sensitive the data is, and prefer EU-based infrastructure wherever possible.
Critical decisions always stay under human control.
Frequently asked questions.
Do we need well-organised digital data first?
Not necessarily. Discovery shows what exists and what is missing. Often the first step is organising the data.
How much does it cost?
Discovery and the pilot have a specific, agreed cost. The cost of full implementation depends on scope, and you know it before we start.
Will AI replace our staff?
The goal is to take repetitive work off your team, so they can focus on what adds value.
Which models do you use?
It depends on the task, cost and data sensitivity: commercial models from major providers, or open models on your own infrastructure.
Have a project in mind?
Tell us what you want to achieve. We will reply with concrete next steps and an honest assessment.