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Practical perspectives on AI in enterprise
From architecture patterns and agent systems to real implementation stories. What we learn building and thinking about AI for operational teams.
MCP, function calling, code execution: How to actually connect AI to enterprise tools
Function calling, MCP API or sandbox AI? A decision-maker's guide to connecting AI to enterprise tools, with five questions to choose the right integration.
The EU AI Act: what companies need to know
Risk tiers, the current timeline and what companies should prepare now, explained from the perspective of the people who build AI systems.
AI developers from Germany: custom AI solutions for enterprises
When a custom AI solution is worth it and how an AI project from Germany unfolds in practice.
ML Con Munich: Why the Future of AI Is Spatial
On June 25, 2026, theBlue.ai CTO Agata Chudzińska delivers a keynote at ML Con Munich on why the future of AI lies not in…
Choosing an AI provider for process automation: what companies should look for
A guide for companies comparing a partner for AI process automation: the key selection criteria and how to recognize a dependable AI provider.
The pilot worked, production didn’t: Why most AI agents never reach operation
How companies turn a convincing AI pilot into a system that runs reliably in production, along the four decisive levers.