Case Studies
Five real projects, told as they happened: the problem, the architecture decisions we made, and the outcome. Client names are withheld under confidentiality; the sector and region describe the real engagement.
- P1Packaging manufacturing · B2B wholesale
A 24/7 Multilingual WhatsApp Sales Agent
A packaging manufacturer could not answer questions and orders arriving outside business hours, and customers wrote in three different languages. We built a WhatsApp agent that knows the product procedures, takes pre-orders into CRM, and knows its own limits well enough to hand over to a human. After-hours losses went to zero.
Read → - P2Vocational training and healthcare · Germany
RAG-Based Support Automation in Healthcare Training
A support team could not keep up with thousands of students asking about enrolment, payment, exams, and technical issues, and answering correctly meant knowing 21 medical textbooks plus every institutional procedure. We built a RAG assistant that answers from sources and hands over to a human whenever it is not sure.
Read → - P3Chemical and medical device manufacturing · German Mittelstand
Five Parallel AI Workflows in Regulated Manufacturing
At a manufacturer where sixty percent of products fall into the medical device class, risk assessment, order intake, supplier management, sales research, and account briefings all ran manually. We built five independent but coordinated workflows, with regulatory requirements designed in from the start rather than layered on afterwards.
Read → - P4Fintech and financial compliance · United Kingdom
Fintech Compliance Review Automation
Fintechs pursuing a payment licence had their websites, card designs, and policy documents reviewed by hand against a checklist running to hundreds of pages. We built six workflows and a dedicated client portal to run that review, cutting review time from hours to minutes.
Read → - P5Multi-sector · Germany
A Sector-Specific Lead Generation Engine
We built lead generation and outreach automation across four sectors. The core engine is the same each time: find, enrich, write personally, send on schedule, classify the reply, follow up. What made the difference was not the engine but rebuilding it around each sector's regulation and each company's tooling.
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