Enterprise: for chief AI officers and transformation leaders

You built this once for yourself. Now it has to work for everyone.

You've seen the shared-knowledge problem before, at a smaller company, in one department or in your own wiki. Now you have an AI-first mandate across the whole business, and you can see the problem before it arrives.
The moment

A new mandate. You're asked to make AI work across the business, with a clock running.

What you've probably tried

Your own system: a personal wiki or folder of markdown with scripts around it, Notion, or a custom retrieval build. It worked for you, and it won't stretch to thirty people and ten agents.

What people in your role ask
  • “We need a shared brain for the company's AI.”
  • “We need governed context for our agents.”
  • “Keep agents grounded in approved policy.”
  • “We need a self-hosted alternative to Notion for AI.”
Where it sits

Where governed context sits in your stack.

Layer 3
Agents, models and runtimesSwappable. A run can end when its job is done.
Claude
Cursor
PromptOwl agents
Gemini
Read, scoped by rolePropose updates, an owner approves
Layer 2
Governed context layerContextNest. Stays put.

The company's knowledge, in plain files it owns, that every agent reads.

ApprovedCurrentScoped to each jobVersionedEvery read recorded
Distill and approve what agents may use
Layer 1
Where information livesStays where it is. Agents don't read it directly.
Google DriveSharePointEmailCRMMeeting transcripts

Start where you are.

Start free with the AI tools you already use, or book a demo on documents like yours.