Where are you losing time and money today?
Every business case starts with a problem from our clients' daily work — and shows what a solution actually delivers. Find yours.
Your employees are typing data out of documents by hand — every day, error-prone, expensive.
Which challenge would you like to solve?
Document Processing
Your employees are typing data out of documents by hand — every day, error-prone, expensive.
- 3–5 FTEs tied up purely on document review and data entry
- 5–10% error rate with manual processing
Smart Inbox Processing
Hundreds of emails a day, manual routing, missed deadlines. Your employees sort instead of doing actual work.
- Tickets land with the wrong team
- Escalations take hours or days
Knowledge Management
Knowledge scattered across wikis, servers, and people's heads — lost every time someone leaves.
- Employees spend substantial time on repeated searches
- Knowledge is lost when experienced colleagues leave the company
Data Platforms
Data trapped in silos, reporting takes days, AI initiatives fail because of poor data quality.
- Data lives in silos: the ERP knows nothing about the CRM, machine data goes unused
- Reporting takes days because data has to be pulled together from five sources
Enterprise Architecture
Your IT has grown organically over years. Every new requirement takes months to integrate — technical debt is holding back every bit of innovation.
- Integrating new systems takes months
- No documentation of the current architecture
AI-Powered Software Development
Long delivery cycles, repetitive work and production bugs.
- Test coverage is insufficient, bugs reach production
- Documentation is outdated the moment it's written
Enterprise AI Integration
You've launched AI pilots — but the leap into production just won't happen.
- PoCs stay PoCs — no project reaches production readiness
- AI models work in the lab but not with real data
Automatically Extract Product Data from Data Sheets & Images
Data sheets and images have to be reviewed by hand, attributes are missing or deviate from the standard without anyone noticing.
- Product data upkeep is still manual, even though data sheets and images have long been digital
- No systematic check of new product data against the existing catalog
Architecture Review
You're facing a decision that will tie up years — modernisation, migration, scaling — and you have no independent view on whether your architecture can carry it.
- Internal assessments of the architecture contradict each other
- Effort estimates for new features differ wildly
Your problem isn't listed?
Tell us where things are stuck — in a free use case review we'll find the right approach together.
Bastian Veltin
Tech Lead, Software- und Solution-Architekt
„Erzählen Sie mir, wo es bei Ihnen hakt — ich sage Ihnen, wie wir es lösen."
Book a meeting with Bastian