An internal chatbot that actually knows the answer
Stop your team digging through wikis and Slack threads. A grounded chatbot answers staff questions from your real documents — cited, permission-aware and current.
What this means for your team
Your knowledge is scattered across wikis, drives, Slack, ticketing and policy PDFs. People waste hours hunting for answers or interrupting colleagues, and the same questions get asked over and over. The information exists — it is just unfindable.
An internal knowledge chatbot turns that scattered knowledge into a single place to ask. It answers from your real documents with citations, respects who is allowed to see what, and abstains rather than guessing when the answer is not there.
We keep it current with an automated freshness pipeline, so updated docs flow in without manual work. The outcome is fewer repeated questions, faster onboarding and a knowledge base that finally pays back the effort of writing it.
What we build
Ask-anything chat
Staff ask in plain language and get grounded answers with links to the source.
Multi-source ingestion
Connects wikis, drives, Slack, ticketing and policy docs into one answer surface.
Permission-aware
Only returns content the asking user is allowed to see.
Abstains honestly
Says when it does not know instead of inventing an answer.
Freshness pipeline
Automated re-indexing so updated documents are reflected immediately.
Usage insights
See top questions and gaps so you know which docs to write next.
Implementation details
| Capability Parameter | System Specification |
|---|---|
| Sources | Wikis, drives, Slack, ticketing, policy PDFs and SaaS docs |
| Retrieval | Hybrid vector + keyword search with reranking and citations |
| Access control | SSO and per-document permissions enforced in retrieval |
| Surfaces | Slack/Teams bot, web widget or embedded in your intranet |
| Freshness | Automated re-indexing pipeline as documents change |
| Typical budget | ₹20L–₹40L / $20k–$50k depending on sources |