Internal knowledge assistant with source citations.
A source-backed assistant for teams that need answers from policies, runbooks, product notes, and internal documentation.
Knowledge Assistant made the workflow easier to explain: the inputs, AI review, human handoff, and business action are all visible in one place.
— Product team
Questions answered in context
Evidence remains visible
Teams narrow by source
Snippets support the answer
Company answers are scattered across docs, runbooks, and policy pages.
Employees need quick answers, but they also need to know which document supported the response.
The workflow needed a visual and operational story that buyers can scan quickly: what comes in, what the AI does, what a human reviews, and where the result lands.
Answers need source dates, versions, and confidence around outdated material.
The assistant must respect document access rules.
Employees should see snippets before relying on a response.
The system should say when no reliable source exists.
We made citations the center of the assistant experience.
The assistant interface pairs the chat answer with source cards, document snippets, and filters so users can verify before acting.
The project is framed around the business workflow itself: the source inputs, AI review, approval points, and final handoff are all visible in one story.
- Chat answer written from internal documents.
- Source cards and document snippets.
- Search filters for teams, date, and collection.
- Fallback when the assistant cannot find evidence.
Citation-first UI
Source cards are placed beside the answer.
Filter controls
Users can scope searches to relevant collections.
Snippet preview
Evidence is visible without opening every document.
Feedback loop
Users can flag weak answers for content updates.
Workflow audit
Mapped source inputs, users, review points, and the final business action.
AI task design
Defined classification, extraction, drafting, prediction, or detection responsibilities.
Human review path
Added approval, exception, and escalation points where judgment matters.
Product narrative
Turned the workflow into a clear buyer story for sales conversations, reviews, and handoff.
- Docs
- Runbooks
- Policies
- Tickets
- Chunking
- Permissions
- Metadata
- Filters
- Grounded response
- Source cards
- Snippets
- Gaps
- Chat UI
- Saved answers
- Escalation
- Feedback
Knowledge assistants should answer only when they can show the user where the answer came from.
Clearer product surface: Knowledge Assistant now communicates the workflow through the actual review states, handoffs, and outcomes buyers care about.
Faster buyer clarity: the problem, workflow, proof points, and next action are easy to understand without a technical walkthrough.
Knowledge Assistant made the workflow easier to explain: the inputs, AI review, human handoff, and business action are all visible in one place.
- Docs
- Runbooks
- Policies
- Tickets
- Chunking
- Permissions
- Metadata
- Filters
- Grounded response
- Source cards
- Snippets
- Gaps
- Chat UI
- Saved answers
- Escalation
- Feedback
- Human review
- Audit trail
- Quality checks
- Fallback rules
Got a problem AI might solve? Let's find out.
30 minutes. Free. No NDA needed. You leave with a clear yes-or-no on whether to build — and a one-pager you can forward to your team the same day.