The Institutional Context Graph
A Context Graph That Captures Why Every Decision Was Made
Your organisation makes thousands of decisions. It remembers almost none of the reasoning behind them.
// SERVICE_INFO
WHAT IT IS
Context graph + agent memory layer
OUTCOME
Institutional knowledge that never leaves
// THE PROBLEM
Your organisation has made thousands of important decisions. But the reasoning behind them — why you chose this vendor, why the migration was structured that way, what was tried before and failed — is scattered across emails, buried in documents, or locked in people's heads. What survives is the decision itself, stripped of context. So the same questions get asked again, the same mistakes get repeated, and every new initiative starts without the benefit of what came before.
// THE SOLUTION
A context graph that stores reasoning, not just facts. Ask "why did we choose Vendor X over Vendor Y in 2023?" and get the full picture: the alternatives considered, the trade-offs weighed, the constraints, and who made the call. Not a search engine. Not a document store. A graph of decisions that your AI agents can reason with.
// WHAT WE BUILD
Context Graph
Seeded from your documents, emails, meeting notes, and interviews with key people. A graph of decisions and reasoning, not a document dump.
Agent Integration
Ask a question in plain English, get the full reasoning — not a list of documents to read.
Continuous Capture
New decisions are captured as they happen. The graph grows with your organisation.
Knowledge Continuity
When people leave, reorganise, or just move on — the reasoning they contributed stays. Permanently.
// HOW IT WORKS
Seed
Ingest existing knowledge. Interview key people to capture reasoning that was never written down.
Connect
Connect the graph to your agents and tools. Your team starts querying immediately.
Grow
New decisions are captured as they happen. When people leave, their knowledge doesn't.
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