02 · Foundation

Knowledge OS

Structure your company's institutional knowledge so every AI system you build runs reliably.

€9,500 3 weeks

What it is

The foundation every reliable AI system is built on.

AI tools fail when they don't have accurate, structured company context. They hallucinate. They give generic answers. They don't know how your business speaks, thinks, or operates. The Knowledge OS fixes this at the foundation level — before you build anything else.

What you get

Knowledge Architecture A structured taxonomy of all company knowledge, by type and function

Content Extraction & Clean-up All existing documents extracted, deduped, and organised

Brand Voice AI Guide Detailed voice, tone, and style guide formatted for AI systems

Prompt Library 40–60 production-ready prompts tuned to your brand and use cases

Retrieval Layer Setup Technical configuration so AI tools can reliably access the right knowledge

How it works

Three weeks. One structured foundation.

Step 01

Knowledge Audit

We extract everything: Notion, Drive, Confluence, email, documents — and map what exists.

Step 02

Architecture Design

Jonas designs the knowledge taxonomy. We define what belongs where and why.

Step 03

Content Structuring

Sara restructures all content into the architecture. AI drafts, human reviews every piece.

Step 04

Prompt Library Build

We build and test 40–60 prompts across your core use cases, tuned precisely to your voice.

Is this right for you?

You need this if...

You're building AI tools but they keep producing generic or inaccurate output — no matter what you try.

Your company knowledge is scattered across 5+ tools and nobody knows what's current.

You want AI systems that actually sound like your brand — not a generic language model.