Blog
The Three Pillars of AI Transformation: Schema, Memory, Runtime
Why AI projects fail without a foundation. The three pillars Memory, Runtime, and Schema - and what midmarket companies need before building agents.
Agent Memory: Why AI Needs Structured Memory to Work in Business
RAG is evolving beyond vector search. Why companies need structured Agent Memory and how Knowledge Graphs become the foundation for scalable AI.
Mini-Apps Instead of Excel: How AI Makes Custom Business Software Affordable
Many business processes run on Excel and brainpower. With coding agents, custom mini-applications suddenly become affordable.
Intent Engineering: Why AI Agents Need More Than Prompts
From Prompt Engineering to Context Engineering to Intent Engineering — how companies teach autonomous AI agents to act in the company's best interest.
ALBL Oberammergau: How a 500-Year-Old Craft Uses AI to Find New Markets
A Bavarian woodcarving studio uses AI-powered lead generation to find Catholic church projects in the USA — before the competition does.
Why AI Projects Are Never Done — And Why That's Okay
The pace of AI innovation makes traditional project planning impossible. How companies can learn to live with permanent change.
Do We Still Need a CMS? A Debate About the Future of Websites
Two perspectives: Will AI agents replace the Content Management System — or does the CMS remain essential even in the AI era?
SaaS vs. Custom Development: When Does What Make Sense for AI Projects?
Ready-made SaaS solution, productized service, or full custom development? How companies make the right decision for their AI project.
schoene neue kinder: How a Digital Agency Automated Their Pre-Sales with AI
From inquiry to proposal in 70% less time — the Munich-based B2B agency demonstrates how AI transforms sales for expert service providers.