Company second brain
Find knowledge and agreements in permitted documents and messages.
- Knowledge is scattered across chats and folders and depends on someone remembering a conversation.
Example paths: the agreed action or human review. This diagram does not run on your live data.
- 01Input: Question · documents.
- 02Permitted documents and messages form a searchable knowledge base with access controls; answers show sources, dates and contradictions, and unknowns go to a person.
- 03Output to verify: Verifiable answer.
- 04Access is checked before passages are shown. Restricted sources remain hidden; outdated or conflicting data is flagged and missing answers go to an owner.
- ✓Users see only sources they may access; answers include citations and currency, and unsupported statements are marked.
- ✓We check repeated processing and connection failures using agreed examples.
An illustration of the logic, not a customer case. Connections and results are agreed before implementation.
What inputs do we need?
We need an example of “Question · documents”, processing rules and an owner for “Verifiable answer”. Access is requested after connections are agreed.
What happens if data is missing or an error occurs?
We check “Access and source?”. Access is checked before passages are shown. Restricted sources remain hidden; outdated or conflicting data is flagged and missing answers go to an owner.
How is the result accepted?
Users see only sources they may access; answers include citations and currency, and unsupported statements are marked.
How long does implementation take?
Scope, price and timing are defined after checking systems, access and exceptions. This page describes a possible workflow, not a ready connection to your data.
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