Enterprise AI search and chat, grounded in your company's own knowledge
Ask natural-language questions across the tools your company already uses. Linkence searches your indexed Gmail, Outlook, Drive, SharePoint, Slack, Teams, Jira, Confluence, GitHub, Bitbucket, Box, calendars, and uploaded files, and replies with citations and access controls intact.
LINKENCEAI Chat
What did Legal decide about the new enterprise refund policy?
The latest policy (effective this quarter) extends refund eligibility to 90 days for enterprise-tier accounts and requires a signed amendment for any exception.
Sources
One AI search surface for everything your company knows
Most teams lose hours every week to tribal knowledge scattered across inboxes, drives, chat threads, tickets, wikis, and repositories. Linkence AI Chat replaces that scavenger hunt with one place to ask a question and get a grounded, cited answer.
Retrieval blends semantic search, keyword search, source filters, and reranking, so an exact identifier like a Jira key still matters, while a plain English question still finds the right paragraph. Every answer respects the same permissions your tools already enforce.
What AI Chat can search for your team
Once your workspace admin connects a source, Linkence AI Chat can retrieve and cite answers from it, always scoped to what each user is allowed to see.
- Uploaded PDFs, Word documents, spreadsheets, presentations, and text files
- Gmail and Outlook conversations
- Google Drive, OneDrive, SharePoint, and Box documents
- Slack and Microsoft Teams channel discussions
- Jira issues, comments, status, and project context
- Confluence pages, specs, runbooks, and internal documentation
- GitHub and Bitbucket repository docs, issues, pull requests, and review threads
- Google Calendar and Outlook Calendar meeting context
Why Linkence AI Chat is more than a chatbot over documents
A typical chatbot answers from one uploaded file or a narrow knowledge base. Linkence searches across the connected business systems your team uses every day (email, drives, chat, tickets, wikis, code, calendars, and uploads) and stitches them into a single grounded answer with citations you can click through.
Cited, permission-aware answers
Every answer is grounded in your indexed sources and shows the citations behind it, so any user can verify the document, mail thread, page, ticket, or message that backs the response. Restricted content stays out of answers for users who should not see it.
Quick, General, and Deep response modes let teams trade speed for depth. Deep mode is useful for sensitive policy, support, engineering, or operations questions where multiple sources need to be compared before an answer is safe to share.
Common ways teams use AI Chat
- Internal knowledge assistant for new and existing employees
- Policy and SOP lookup with the source paragraph
- Customer support answer drafting
- Engineering incident, release, and code-context search
- Sales account history and call-prep summaries
- Meeting and email recap across long threads
- HR and onboarding self-service
- Compliance and audit evidence search
Scoped search for every team and workflow
Users can narrow chat to Documents, Gmail, Outlook, Calendar, Jira, GitHub, Confluence, Slack, Bitbucket, or any other connected source. Narrowing the scope is what makes the answers feel sharp when a user only needs HR policies, customer emails, engineering tickets, or meeting context.
AI Chat shares the same knowledge layer as the rest of Linkence, so a support answer can become a drafted reply, an operations question can become a Jira ticket, and a chat commitment can become a tracked deadline, without copy-paste.
Real questions teams ask Linkence AI Chat
- “What is our latest customer refund policy?”
- “Walk me through the enterprise onboarding process.”
- “Summarise the full history of this customer escalation.”
- “What did engineering decide about this bug?”
- “Which Jira tickets, Slack threads, and Confluence pages mention this incident?”
- “Where is the current access review process documented?”
- “What did we promise this customer in the last email thread?”
- “What did the team decide in Slack about the launch delay?”
Best-fit teams
This capability is most useful for:
- Customer support teams that need faster, cited answers
- Sales and renewal teams that need account context and follow-up reminders
- Operations teams coordinating work across email, chat, docs, and tickets
- Engineering teams that need Jira, Confluence, GitHub, Slack, and incident context
- HR and admin teams that answer the same policy and onboarding questions every week
Common workflows
Ask questions across documents and the apps your team already uses
Search uploaded PDFs, Word documents, spreadsheets, Drive folders, SharePoint libraries, Confluence pages, Slack messages, Jira issues, and email threads from one chat surface.
Find policy answers with the source paragraph
Answer questions like “what is our refund policy”, “how do we onboard contractors”, or “which escalation path applies?” and cite the exact source paragraph for review.
Summarise scattered project history
Combine emails, calendar events, Jira tickets, pull-request notes, and wiki pages into a clean project or incident summary.
Frequently asked questions
- Will AI Chat send email or change tickets on its own?
- AI Chat is read-first: its job is to answer with citations. When you also use Actions, sensitive writes pause for a human to approve before anything is sent or updated.
- Can AI Chat work as our internal search engine?
- Yes. Linkence is built as an AI search layer over your private company knowledge. Users can ask natural-language questions, filter by source, and verify every answer through citations.
- Can we limit answers to legal, HR, support, or engineering content only?
- Yes. Source filters and access controls let admins decide which connectors, documents, labels, folders, spaces, or projects each user or team can search.
- How does this fit with the rest of Linkence?
- AI Chat is the retrieval and synthesis layer for cited answers. Actions adds approvals and execution when a workflow needs to write back into your tools, Email automation handles inbound mail and outreach, and Deadlines tracks the commitments that come out of every conversation.