AskVault
An AI internal knowledge-search platform that answers employee questions from your own docs — grounded in citations, with knowledge gaps surfaced and deflection tracked.
// The Knowledge dashboard — an ask bar with a cited answer, a questions-and-deflection trend rising to 64%, and a recent-questions feed with confidence and sources.
Figures from the engagement, shared under NDA.
We publish them unchanged and can’t break them down any further here. The reference build you can open runs entirely on sample data.
If you read one part of this page, read these 4 lines.
- Answers employee questions in plain language from your own wikis, docs and tickets
- Every answer is grounded in inline citations, never an unsourced guess
- Surfaces the knowledge gaps worth fixing from what people keep re-asking
- Tracks deflection so leaders can see how much support the knowledge base absorbs
What it does — and which part of it we built.
AskVault turns a company's scattered wikis, docs and tickets into a single place employees can ask anything and get a trustworthy answer.
Questions are asked in plain language; AskVault retrieves the most relevant passages across every connected source and answers only from what it found — each claim linked to an inline citation and scored for confidence. Questions it can't answer confidently become tracked knowledge gaps routed to a doc owner. BuildspaceLabs designed and built the MVP front end — a workspace Knowledge dashboard for search, analytics and gap triage, and a single-answer detail view with its cited sources — turning a retrieval-grounded model and a stream of company documents into a workflow any employee can use in seconds.
Every screen here is from the reference build, not the client’s system.
The captions say what you are looking at. Every name and record on them is sample data.
What the engagement left the client with.
- Delivered a production-quality MVP of the Knowledge dashboard and answer detail view in a 9-week engagement
- Consolidated search, grounded answers, citations, gap detection and deflection analytics into one surface
- Gave enablement leaders a real-time view of deflection and the knowledge gaps behind re-asked questions
- Established a reusable design system (citation chips, confidence pills, source cards) for the product's next surfaces
The stack was picked per constraint, not per house habit.
7 technologies across 3 layers — the shape of the stack follows the problem.
Every feature in the build (6)
- Natural-language ask bar that answers instantly from indexed company docs
- Inline citations linking every claim to the exact source passage
- Confidence scoring with low-confidence answers flagged for review
- Knowledge-gap detection for frequently-asked, unanswered topics
- Deflection analytics across questions answered, volume and answer time
- 14 source connectors (Notion, Confluence, Zendesk, Google Docs) kept in sync
Don’t take our word for it — it is running in the frame below.
This is the same page the provenance block links to: our reference build for AskVault, with its own look, copy and motion. Scroll inside it, or open it full-screen.
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