Intelligence engine

Run governed natural-language analytics using facts-grounded responses.

Last updated:

The Intelligence Engine follows one strict split:

  • Facts = truth (deterministic operational data)
  • Model = interpretation (summaries, prioritisation, next-step guidance)

For the full current end-user capability list in Chat, see Eden capabilities.

User-facing access

All Intelligence access is session-authenticated in ChannelWeave.

Request lifecycle (high level)

  1. Validate request shape and bounds.
  2. Resolve tenant context from the signed-in workspace.
  3. Gather deterministic facts for the question.
  4. Return either:
    • a direct fact answer (for explicit factual prompts), or
    • a model-composed answer grounded in those facts.
  5. Persist audit metadata for traceability.

Response behaviour

  • If required facts are unavailable, Eden returns an explicit uncertainty note.
  • If model generation fails, Eden returns a safe deterministic fallback where possible.
  • Chat links to in-app pages are rendered as safe clickable links.
  • User-facing wording is normalised to British English.

Data safety

  • Tenant scoping is enforced for all facts used in responses.
  • The assistant does not execute arbitrary user-authored SQL.
  • Sensitive operational setup details are documented in SuperAdmin docs only.