Find the answer. Keep the source.
Bring company documents and knowledge into a search experience that helps your team find context, compare information and understand where an answer came from.
The addendum changes the notice period from 60 to 90 days. The service agreement still shows the earlier wording, so the two documents need review together.
Inspect the example reasoning
The answer compares two sample clauses and points out a mismatch. A real implementation would retrieve permitted source passages so a reviewer can inspect the underlying wording.
From a question to an answer you can inspect.
The useful part of search is the context it returns. Build the journey around the information your team needs to make progress.
Connect the right sources
Identify the documents, drives and knowledge systems that hold the information for your first use case.
A defined set of knowledge sources.Retrieve useful context
Prepare those sources for search and retrieval, with access rules matched to the people using the system.
Relevant material within the agreed scope.Answer with references
Generate a response grounded in retrieved material and show the underlying sources for review.
An answer the user can inspect.
Less hunting. More understanding.
Design around a useful output, the information behind it and the person who needs to act next.
Find across fragmented knowledge
Help people ask a question without deciding which folder or tool to search first.
Compare the information that matters
Bring related documents together so users can examine differences and missing context.
Make review part of the answer
Keep sources close to the output so a person can check important statements before using them.
A comparison with the evidence beside it
| Source | Notice period | Review |
|---|---|---|
| Service agreement | 60 days | Earlier wording |
| Renewal addendum | 90 days | Changed term |
Sample document content. The discrepancy is prepared for a reviewer, not resolved automatically.
Your stack sets the shape.
Your knowledge can live across documents, drives and company systems. The search layer is designed around the sources relevant to your business.
100+ integrations, with public and private model options. The sources, actions and deployment choices for your workflow are agreed during implementation.
- Knowledge sources
- Company documents, shared drives, knowledge bases and records relevant to the agreed search use case.
- Connected actions
- Defined tool actions and handoffs, with the permissions and approval rules your process needs.
- Model options
- Public or private models selected around your data, deployment and workflow requirements.
Google DriveMicrosoft 365
Slack
Notion
Salesforce
HubSpotKeep control part of the system.
Knowledge access needs a deliberate design. We map source access, retrieval boundaries and review expectations with your team.
Source access
Define who can connect and retrieve material from each knowledge source.
Answer inspection
Keep retrieved evidence available so users can check the answer in context.
Deployment choices
Agree where the system and selected public or private models run.
A few practical questions.
How is this different from a general chatbot?
The search use case is designed around your company’s selected knowledge sources. Retrieval brings relevant material into the answer instead of relying only on a model’s general knowledge.
Can the system use private models?
Public and private model options can be considered. The implementation choice depends on your data, hosting requirements and the quality needed for the workflow.
Does the example search our real documents?
No. The example uses sample agreement wording to show how an answer and its sources can be presented. Your working system is built around the sources agreed during implementation.
Start with one knowledge problem.
Show us where your team spends time searching, comparing or reconstructing context. We’ll map the sources and the first useful workflow.
Get demo