Substance over promises.
VellingerThere are plenty of use-cases. Which one is actually relevant for your industry and your size, and which one only sounds good in theory?
General LLMs answer generically. What you need is an AI with access to your documents, your data, and your processes, not the entire web.
Voice, chatbot, RAG, agents: every week new tools and new promises. Who filters out what really works from what just sounds good?
of AI projects never make it to production
Gartner, 2024
of knowledge worker time goes into searching for information and reviewing documents
McKinsey, The Social Economy
to ROI without specialized support
McKinsey, The State of AI
Sources: Gartner, 2024 · McKinsey, The Social Economy · McKinsey, The State of AI
How we work together
We sharpen the right use-case together and check the prerequisites for implementation.
A narrow first build in a clearly scoped area, tested against real data.
The pilot is connected into your existing systems: CRM, ERP, phone system, email.
Phased go-live, team training, and support during the first weeks of live operation.
Right Fit?
You have a repetitive, scoped task area
Whether it's customer inquiries, document handling, or workflow decisions: there's a clearly bounded area that costs your team time on a recurring basis.
You're willing to start with a pilot scope
Instead of 'all at once', we begin in a clearly defined area, gather real-world experience, and only scale when the pilot proves itself.
Your data and systems are reasonably accessible
Documents, CRM data, or relevant content exist in a form we can connect to, or can be made available with reasonable effort.
You're looking for an off-the-shelf SaaS product
For many standard use-cases there are cheaper out-of-the-box options. We're happy to recommend them when they fit your needs.
You don't have a clear use-case or pain point
Then our potential analysis is a better starting point. We'll figure out together whether AI would actually move the needle for you.
You expect productive AI in two weeks with no prep
Realistically it's six weeks and up from the first workshop to a productive pilot. Anyone promising faster is cutting corners that matter.
It depends a lot on the use case and the level of integration. A simple bot with standard integrations requires considerably less effort than a fully integrated voice agent connected to CRM and telephony. We define the concrete scope and the investment together in the initial consultation, with clear milestones and without open-ended hourly rates.
Modern LLMs make fewer mistakes than a year ago, but they still make some. That's why we build with source citations, clear escalation paths, and monitoring. An AI system doesn't replace your judgment, it relieves your routine work.
For many use-cases there are GDPR-compliant solutions on German or European servers. Which setup fits you depends on the specific model and the data class involved. We clarify that before the build, not after.
Clear escalation paths to humans, full logging of every action, clearly defined permissions: read-only, with approval, or autonomous within tight boundaries. We decide together which level of autonomy is appropriate for each use-case.
We own the entire process from use-case definition through to live operation. For the technical build we combine proven tools with our own development. You have one point of contact: us.
