Guides from the blog
In-depth articles on regulation, knowledge loss, agents and the economics of AI for mid-sized companies.
Guides, glossary, comparisons and product details on AI sovereignty, knowledge graphs and AI adoption – freely available in one place.
Anyone responsible for AI in a company needs solid foundations: How does a knowledge graph work, what does the EU AI Act regulate, how does AI pay off, and how do platforms differ? Instead of download forms, we collect the content that answers these questions here – guides from the blog, terms from the glossary, comparisons and the product documentation for our features.
All content can be read without registration. If you have a question about your own architecture, data flows or rollout, we are happy to discuss it with you directly.
Our tip for getting started: begin with the glossary if terms such as knowledge graph or AI agent are new, then read the guides on regulation and economics, and finally use the industry and role pages to see what a concrete workflow looks like in your environment. The comparison pages help you choose between platforms.
In-depth articles on regulation, knowledge loss, agents and the economics of AI for mid-sized companies.
The glossary explains key terms in enterprise AI – from the knowledge graph to the AI agent.
How AIPE differs from other approaches and what it costs.
What AIPE can do today – from the Worker on your computers to agents and routines, knowledge, wiki and graph.
Data processing agreement (DPA), subprocessors and privacy information to read.
Concrete use cases and workflows for your industry or your role in the company.