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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. On the theBlue.ai blog we share what actually works in custom AI development in practice. How we deliver projects is shown under how we work; real-world examples are in our case studies.
theBlue.ai named an OpenAI Select Partner
theBlue.ai has joined the OpenAI Partner Network as an OpenAI Select Partner, helping enterprises deploy secure, scalable AI solutions, GPT-powered automation, and custom AI…
Local LLMs in practice – how we are using them at theBlue.ai
Are local LLMs actually worth it? We run three of them in production at theBlue.ai. Here is what they cost, what they deliver, and…
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…