Data, integrations, access and the limits of a safe rollout.
- 1Analysis
Start your knowledge base with the question you are working on today
How to turn the documents of one past project into a verifiable basis for today's work and save it for reuse.
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Where to save the result of an AI conversation so you can carry on working
A conversation with AI produced a good result, but a day later you are hunting for the agreed version again. How to put it together, save it and hand it over so the work can continue.
- 3Reference
MCP in plain words: how AI gets access to work data
What MCP is, why a company needs it, how it works and what to check before connecting AI to work systems.
- 4Analysis
How to connect an MCP server without giving it more than it needs
How attacks through MCP arise and what to check before connecting a server: permissions, tool descriptions, tokens, changes and confirmations.
- 5Guide
Google Workspace for your company: from the domain to the access review
From choosing a Google Workspace edition to checking email, migration and access. Prices in euros, a pilot roll-out and practical checks for your company.
- 6Model
How to prepare a work process for an AI agent: ten checks
Ten checks that help you find the gaps before you hand a real work process to an AI agent.