Documentation
Briefings, SOPs, shared drives – the official state.
Company knowledge your AI can read
Give the AI you already use the context of your company. Corporate Context connects Claude, ChatGPT or your agents with your company knowledge. For noticeably better answers.
ConfluenceJiraNotionOutlookFigmaAworkSlackTeamsCorporate
Context
Context
Knowledge Flow
How scattered knowledge becomes readable
Decisions and agreements that live only in the inbox.
Transcripts
Meetings and calls – spoken, but never written down.
Result
One knowledge base for your agents
ConnectedWith source referencesVerifiedAgent-ready
Before / after
What changes with Corporate Context
- Knowledge spread across documents, inboxes and heads.
- Every AI session starts from zero.
- Answers depend on who you happen to ask.
- The same explanations again with every project.
- One knowledge base, every statement with its source.
- Claude, ChatGPT and agents read the same state.
- Questions that stayed open are one query away.
- New knowledge keeps coming in while it runs.
How it runs
From the use case to running operations
01
Opening
The sources for your use case are connected. I build the connections, and you decide what belongs in them.
02
Consolidation
Documentation, email and transcripts become one knowledge base – deduplicated, sorted, every statement traceable to its source.
03
Access
Claude, ChatGPT or your agents read the current state of knowledge and build their answers on it.
04
Operation
New content keeps flowing in, the knowledge stays current. Further sources and use cases come as an expansion of their own.
Fit
Where Corporate Context does the most
- One use case that noticeably costs time today – that is where the pilot starts.
- Teams that already use Claude, ChatGPT or agents, or are rolling them out right now.
- Knowledge-intensive work, from the proposal to the customer request.
Common questions
FAQ
Do we already need agents for this?
No. Corporate Context works with the AI tools already running in your company – a Claude or ChatGPT session is enough. If Professional Agents come later, they work with your company knowledge from day one.
Do we have to open every inbox for this?
No. What gets opened is what the use case needs – not one source more. You draw the lines, per source and per person.
What does it take from our side?
Little: release the access, name the boundaries, one contact person. The pilot needs no project team and no approval process – the work sits with me.
How long does the setup take?
Depending on your size and the tools in use, setup takes two to six weeks. In that time we design a pilot together for your concrete use cases. Through continuous use and improvement, the pilot then moves into operation.
What happens to our data?
You decide what happens with your data and where it is processed. Depending on your data protection requirements and the choice of AI models, the data can be processed in Switzerland, in the EU or in third countries. Where the requirements are very high, the AI models can also run on your own premises, so data never leaves your network.
Setup and operation are listed under prices.