The uncomfortable truth about enterprise AI.
The Chatbot Problem
Most companies have a chatbot. It answers FAQs. And that's it. Your real processes — claims handling, credit review, order processing — still run like it's 2019. Just with a new chat bubble on the website.
The Control Problem
AI without guardrails is dangerous. Not because the technology is bad, but because nobody knows when the AI is right and when it isn't. Anyone building AI into business processes needs checkpoints. Escalation paths. Audit trails. Most "AI solutions" have none of that.
The Integration Problem
Your ERP doesn't talk to your AI. Your AI doesn't talk to your DMS. And your DMS doesn't talk to anyone. The smartest AI in the world is useless if it can't connect to your systems.
We solve all three. At once.
Seven disciplines. One goal.
AI that works in your processes.
And not another "AI consultancy".
Process DNA
We don't come from the AI lab. We come from process automation. For years, we've been building Enterprise BPM workflows — the same ones that AI agents now move into. We know how business processes actually work — with all their exceptions, edge cases, and legacy systems.
Human-in-the-Loop by Design
Others talk about "responsible AI". We build it. Every AI process we create has defined checkpoints where humans can — and must — step in. Not as a fallback, but as an architecture principle.
MCP Pioneers
The Model Context Protocol is changing how AI talks to enterprise systems. We're among the first providers in the DACH region building MCP integrations for enterprise environments. Early movers understand more.
Document Intelligence
Others start from scratch. We have years of experience with OCR, document recognition, and generation. We know the limits of the old world — and where AI breaks through them.
Technologies we trust. Partners who trust us.
