Internal Knowledge Base Bot
“Your company's knowledge, instantly searchable.”
We build a private AI assistant connected to your Google Drive, Notion, Confluence, or SharePoint. Employees ask questions in natural language and get accurate answers from your actual documentation.
New hires onboard faster. Managers get time back.
Start with a focused first build.
Send the workflow, the tools involved, and where the handoff breaks. We will map the smallest build that can prove value before you commit to a larger system.
The useful parts of this build.
These are the pieces buyers usually need when the workflow has to run inside a real product, CRM, dashboard, or internal operation.
Company knowledge connected from Drive, Notion, Confluence, or SharePoint
Answers with source links so staff can verify them
Role-based access so private documents stay private
Automatic sync when approved documents change
Slack, Teams, or private web access for daily use
How this moves from audit to production.
The first version stays narrow enough to ship, but includes the architecture, integrations, model layer, review path, and observability needed by a real team.
Inventory internal repositories, permission groups, stale documents, and high-value SOP collections.
Create a secure ingestion pipeline with document chunking, metadata filters, and role-aware retrieval boundaries.
Deploy a Slack, Teams, or web interface that checks user permissions before every answer request.
Add scheduled sync jobs for Drive, Notion, Confluence, or SharePoint updates with deletion handling.
Review answer gaps, source usage, and employee feedback to improve taxonomy and retrieval quality.
Questions before building this workflow.
Can employees only see answers from documents they are allowed to access?
Yes. We preserve source permissions as retrieval filters and check user identity before returning any answer, citation, or source preview.
How often does the knowledge base update?
We support scheduled syncs, webhook-triggered updates where APIs allow it, and re-index queues that refresh changed documents without rebuilding the whole corpus.
Can this run with local models for private company knowledge?
Yes. For sensitive deployments we can pair local embedding or generation models with private vector storage and keep document content inside your controlled infrastructure.
Related services in this category.
Send one workflow.
Send the workflow. We will show what to build first.