AI solutions that fit
your workflows

It depends on the use case, your existing systems, the interfaces required and the scope. In the free first conversation we clarify your goals; the effort estimate and quote build on that. Ongoing support after rollout is agreed separately. In Brandenburg, implementation may be funded through the BIG-Digital implementation module if it changes workflows with new digital technologies and funding is settled before you commission the work.

Recurring tasks that cost time today. Typical examples are extracting information from documents, sorting incoming requests and making internal knowledge easy to find. We build AI assistants and automations for these that connect to the tools you already use.

We define that for each workflow. Usually the AI prepares something, such as a structured draft, and a responsible person reviews it. Only approved information reaches the target system. When a person takes over is part of the design.

No. We use OpenAI models with zero data retention: your data is not stored by the provider and not used for training. We run our solutions on Railway. Which data an application transmits is agreed with you before it goes live.

We define the task and agree success criteria. We then build a prototype so the workflow becomes visible early. We test it on real cases from your team, assess results and limitations, and finally roll out the solution with the right interfaces.

We hand the solution over to your team and agree beforehand who maintains the knowledge, handles errors and tests changes. Ongoing support from us is available and agreed separately.

Rights to code, configuration and prompts are agreed in the project contract. We settle this for each project individually, to suit your plans.