Knowledge Management on AIOP is a single layer over everything your institution knows — documents, process records, runbooks, SharePoint, custom integrations, anything you ingest. A hybrid Lazy GraphRAG combines vector retrieval with relationship structure, every record carries its compliance and risk context, and identity gates decide who — human or agent — gets to ask.
Documents, process records, runbooks, SharePoint pages, custom integrations, direct Markdown or PDF upload — every piece of information that passes through the platform is indexed. Process outcomes feed the knowledge layer automatically; what one team learns becomes searchable for the next.
Vector retrieval alone misses relationships. We build a graph as content arrives, so connected facts stay connected at query time. Lazy — meaning graph expansion happens at retrieval, not on a fixed schedule — so freshness and depth stay in balance.
Every stored record carries its full context: provenance, structure, known executions, plus the compliance and risk attributes inherited from the process that produced it. Answers come back with that context — not stripped of it.
The same knowledge base serves the search bar an analyst types into and the agents that act on your behalf. Both go through the same identity-gated retrieval; both get the same citations and context.
Policies, methodology documents, runbooks, project archives — searchable from one place, scoped to whoever is asking, every answer cited back to the source.
Agents ground every decision in the knowledge layer rather than their training data. Citations, identity checks and compliance context travel with every answer they consume.
Connectors pull in SharePoint, file shares and custom systems; everything is indexed with the same compliance metadata. Direct Markdown and PDF upload for one-off content.
Every process record — extraction, analysis, decision — flows back into the knowledge graph as a citable fact. What the platform produces today is what the platform learns from tomorrow.
When agents act on your behalf, they need to be grounded in the same trusted documents, with the same identity gates and citation guarantees you give your teams. Knowledge Management makes that the default — not the exception.
Knowledge Management sits at the centre of the platform — Enterprise Data feeds the corpus, Identity gates the queries, and the Knowledge primitive in the Platform Core serves both humans and agents. Every retrieval is captured in the Audit Stream alongside the identity and policy that authorised it.
Knowledge Management touches multiple parts of the platform — fed by some, gated by others, consumed by all.
The eight-layer architecture underneath — Enterprise Data, Identity and the Knowledge primitive that make the layer defensible.
/solutions/platformEvery extracted document feeds the knowledge layer — with structure, context and source references intact.
/solutions/document-understandingThe gating mechanism — sessions and scopes flow into retrieval and decide what comes back.
/solutions/identityProcess artefacts become knowledge — every record produced is citable downstream.
/solutions/process-automationWe'll spin up a pilot on a representative slice of your documentation — connect SharePoint or another source, set up access roles, and show you the retrieval in action.