Resources
Read before you decide
How we think about company knowledge, data and AI rollout — openly, without a sales angle. Everything here you can use without us; that is the point.
From our workshop
All articles
2026-11-01
The bottleneck is not writing. It is approval.
When AI drafts in seconds, the pile moves to the desk of the person who has to sign. That pile is a new cost, and it can be calculated.
2026-11-01
What may go to the cloud: decide per document type, not per company
Running 2,000 documents a month through AI costs under a dollar in the cloud, about the same on EU hosting, and one €3,000 machine locally. Price does not decide where a document goes; the shelf it belongs on does.
2026-10-31
AI that gets stuck on one task
Three quarters of small companies that already use AI use it for one isolated task, and the savings you are looking for sit one step further down the process.
2026-07-06
A company AI brain in 7 days — a realistic walkthrough
What actually happens in the first week of turning scattered team knowledge into a working, AI-augmented knowledge base.
2026-07-06
The gap in the knowledge market
Over 10,000 organizations run on Obsidian, yet almost nobody will install and operate it for a team. That gap is the whole opportunity.
2026-07-06
The Knowledge Refinery, explained
How scattered conversations, documents, and decisions become a linked, queryable asset an AI agent can safely work with — in five stages.
2026-07-06
Pilot purgatory: why most AI agents never reach production
The bottleneck between an impressive AI demo and a system your team actually relies on is not the model. It is architecture, governance, and maintenance.
2026-07-06
Public vs. private: how teams use AI without leaking data
A two-plane architecture that gives teams collective intelligence without giving up data sovereignty or GDPR compliance.
Podcast
Conversation instead of a brochure
Same topics, spoken aloud: what AI may see, what must not leave the company and how that line is drawn in practice.
Episode 1
Public and private AI
Where the line runs between AI tools you may put everything into and those you may put nothing into — and how that line is drawn in the company, not on paper.
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