Coming soon · Seeking early adopters

Keep team knowledge
always current with AI

Turn decisions from Slack, Jira, and GitHub into KB drafts automatically, then let only approved knowledge reach AI search. No more losing decisions inside chat history.

Servan is preparing for launch. We are looking for early adopters to help shape how teams manage their knowledge.

Join early access See how it works
Slack · Jira · GitHub connected Reviewed before KB update Searchable from any AI
Operational risk

Knowledge goes stale before anyone logs the change

Teams already make decisions in Slack, Jira, and pull requests. The gap is getting those decisions back into the knowledge base.

StatusWork signalKnowledge riskServan handling
Unverified A Slack answer becomes policy AI repeats an answer without a source trail KB draft · owner review
Duplicate A Jira resolution conflicts with a doc Teams follow different procedures Conflict check · merge proposal
Missing A PR changes an operating rule Search only exposes the old rule Signal ingest · RAG re-index
What Servan owns
  • Capture work signals before they disappear
  • Convert them into reviewable KB drafts
  • Index only approved knowledge for AI search
Unified Knowledge Store

Save it once.
AI already writes

Uploading to Slack or Confluence still leaves the maintenance to humans. With Servan, the moment any document is saved, it's automatically indexed — and your AI immediately works with full team context.

  • All docs, one store
    AI reports, KB pages, Slack messages, Confluence docs — regardless of type, everything flows into Servan.
  • AI searches directly
    AI connected via MCP queries your team store directly and fills its context window on the spot.
  • Auto conflict and duplicate detection
    If a new document contradicts an existing policy, Servan catches it first.
  • Zero manual upkeep
    No manual organizing required — indexing and freshness are maintained automatically.
Slack
Confluence
Drive
AI Report
KB Page
Servan Knowledge Store Auto-index · Conflict detection · Always fresh
RAG indexed Dedup checked Always fresh
MCP search_knowledge
AI · Answers grounded in team contextAny AI agent connects instantly via MCP
Slackinbound webhook
GitHubPR · Issue
Notionpages · DB
Jiraissues · epics
Knowledge Item Store pgvector · text-embedding-004 · 1,536 dim
AI · MCP search_knowledgeAnswers grounded in team context
Knowledge Base & RAG

All your team's knowledge,
tightly Woven

Slack, Jira, GitHub, Notion, Confluence — your team's fragmented knowledge flows into a single Knowledge Item store in Servan. Connect your AI via MCP and it answers with full team context, instantly.

  • Webhook inbound
    No polling — when an external source changes, it flows into ExternalSource immediately
  • pgvector RAG
    Indexed with Vertex AI text-embedding-004, retrieved by cosine similarity
  • AI conflict detection
    When a new document contradicts existing policy, Gemini Flash detects it — factual, recency, and semantic conflicts
  • Three views of the same knowledge
    KB · Document · Report — the same asset, seen differently depending on purpose.
Dispatch & Archive

Never miss
an AI report

AI-generated reports are saved in Servan and never lost. Read them in a consistent, section-based format on mobile or desktop, and get urgent issues pushed to you instantly.

  • Urgency-based notifications
    urgency=high reports push to Mobile immediately; regular reports sit in the archive for you to pull
  • Always Persist
    Reports are saved regardless of push delivery — find anything you missed in your inbox.
  • IDE-style tabs
    Open multiple reports in parallel on Desktop to compare and cross-reference.
  • Feedback loop
    "Make it shorter", "Translate to English" — reply from mobile and AI re-delivers a revised version.
Q1 Research Report
Security Issue Summary
Weekly Standup
Q1 Research — Competitor Landscape Analysis
research high #competitor
Executive Summary
Details
Next Actions
9:41●●● 100%
!
Servan
now
⚠ Production deploy halt recommended
v2.4.1: payment webhook signature verification failure rate spiking — rollback required.
S
Servan
3m ago
Weekly research summary arrived
3 decisions · 7 to-dos · 2 risks. Check the Executive Summary first.
S
Servan
1h ago
Revised version with your feedback
"Translate to English" applied. Open in Desktop tab.
Operating surface

Designed like the screen an admin checks every day

Instead of dressing up search results, Servan helps operators see what arrived, who needs to approve it, and where it was delivered.

Draft inbox
Stripe webhook recovery
Slack · Jira · GitHub Needs review
Mobile offline policy
PR #214 · Existing KB Conflict check
New-team onboarding checklist
Confluence · Notion Ready to index

Source trace

Keep the original thread and related KB context attached to every draft.

Conflict detection

Flag policies and procedures that contradict existing documents before approval.

MCP access control

Separate API keys and team permissions for every connected AI agent.

Team delivery

Send approved knowledge to the app and external systems that need it.

Workflow

The path from work signal to verified knowledge

Automation does not end in a black box. Servan connects ingest, drafting, review, indexing, and delivery in one auditable flow.

Source and approval history

Every draft keeps the source thread, related KB, and owner decision together.

Human-closed gate

Only approved knowledge moves into search indexing and outbound delivery.

Live delivery state

Track app, MCP, and external channel sync from one operational view.

Live pipelineKB-482
review window 04m
01

Signal

Collect changes from Slack, Jira, and GitHub

captured
02

Draft

Generate a KB draft with evidence and conflicts attached

source trace
03

Review

Owner approves, edits, or rejects the update

human gate
04

Index

Approved pages enter vector search and MCP answers

pgvector RAG
05

Deliver

Notify apps and sync external channels

push · sync
Only approved knowledge becomes searchable.
Integrations

Each tool connects in its designated role

External sources bring signals in, AI clients read and write knowledge, and team channels deliver the result.

Sources

Where work signals happen

SlackThread · approval
JiraIssue · status
GitHubPR · issue
Confluence / NotionDocs · pages

AI clients

Where agents read and write

ClaudeMCP search
GPTTool calls
Cursor / agentsAPI key

Delivery

Where teams see updates

DesktopReview queue
MobilePush alerts
EmailInvites · digest
Coming soon · Seeking early adopters

Be one of Servan’s first early adopters

Servan is preparing for launch. We are looking for early adopters to help shape how teams manage their knowledge.

Tell us you are interested by email
  1. Tell us how you would use Servan
  2. Share your team’s knowledge management challenges
  3. Suggest the experience you would like to help build
Join early access Read docs