Generative AI in your business processes
Drafts, summaries and reports, generated inside the tools your teams already use.
Which of these sounds like your company?
Writing eats time
Teams spend hours on reports, offers and replies.
Inconsistent quality
Tone and facts vary from team to team.
Information overload
Long documents and emails need summaries nobody has time for.
Data protection concerns
Personal data can't go into public AI tools.
AI outside the workflow
Employees copy text between AI chats and their systems.
Unclear where to start
Many ideas, no clear first use case.
Don't see your challenge? Let's discuss your use case.
Book a call →How we work on your use case
Pick the challenge that matters most. We take it from there.
- 01
Pick one task
the writing that takes the most time
- 02
Prove it
on real examples, in 2–6 weeks
- 03
Roll out
inside the tools your teams use
- 04
Keep improving
as your needs change
Technical details
- Use case with clear input and expected output
- sources and personal data masked before processing
- tested prompt templates, versioned like code
- model chosen per task for quality, speed and cost, replaceable without rebuilding
- automatic checks on format, facts and tone
- acceptance and edit rates, cost per output and user feedback tracked
Flexible to fit you
Start with one task, add more later
The right model per task, changeable later
Hosted in the EU or in your own infrastructure
Human review wherever you want it
We run it, or hand it over to you
Measured on the KPIs you set
You choose what success means. We measure it from day one.
Time per document
Drafts used without rework
Output quality
Usage per team
FAQ
With repetitive writing: drafts, summaries, reports and replies.
Data protection, output quality and who reviews what before it goes out.
Yes. The model layer is built to be replaced.
It depends on the complexity and scope of your project. We discuss it in the first call.
