Insights & Case Studies
Real-world insights — how we implement AI solutions in practice.
ISO/IEC 42001: The Framework That Moves AI Projects from Pilot to Production
Why international standards for AI management systems are not just for certification — but for any SME that wants to scale AI responsibly.
Not Every AI Belongs in the Cloud: 4 AI Infrastructures Compared
Local, self-hosted, EU SaaS or US cloud? Four ways to run AI – compared by cost, data sovereignty and performance, with a clear recommendation by data class.
Which knowledge system for which company size
A practical market overview of knowledge graph and RAG solutions – with clear recommendations for solo through enterprise.
AI Creates Capacity – Leadership Decides How It's Used
Why the biggest challenge in AI transformation isn't technical — it's strategic. And why leadership makes all the difference.
AI Agents Automate Project Documentation: 70% Time Savings in Engineering Projects
Real-world experience from pharma and chemical engineering shows: Automated workflows free up time for real project management work.
Knowledge Graph Instead of Data Chaos: How AI Turns Meetings into Real Knowledge
Why raw AI models alone are not enough: How a knowledge graph transforms fragmented meeting data into strategic knowledge.