Team Intelligence
Ayven learns who knows what.
Most AI treats every conversation like the first. Ayven builds understanding: who your team members are, what channels discuss, how expertise flows. The picture sharpens with every interaction.
PM
Frontend
Backend
Design
DevOps
QA
User Profiling
Ayven extracts facts about team members from natural conversation:
- Display name, title, email: Basic profile data from Slack
- Expertise areas: Inferred from message content
- Communication patterns: Which channels, what topics
- Confidence scores: How certain Ayven is about each fact
Channel Profiling
Every channel has a purpose. Ayven learns what each one is for:
- Channel purpose and topic: From Slack metadata
- Actual discussion patterns: What really gets talked about
- Key participants: Who's most active, most expert
- Content types: Questions, announcements, decisions
Discovery Process
Ayven learns continuously without manual setup:
- Message analysis: LLM extracts facts from conversations
- Profile aggregation: Facts merge into coherent profiles
- Confidence decay: Old facts weighted less than recent
- Privacy-first: Only workspace-public messages analyzed
What team intelligence enables
Smarter search
"Who worked on the pricing model?" → Sarah in #product, based on her messages last quarter
Better assignments
When creating tickets, Ayven suggests assignees based on expertise match
Channel routing
Ayven knows where to post findings: #eng-backend for technical, #product for features
Context-aware writing
Documents use terminology your team actually uses, not generic jargon
Privacy by design
- Only analyzes messages in channels Ayven is invited to
- DMs and private channels excluded
- Facts stored with confidence scores, not raw messages
- Revoke access anytime through Slack settings
AI that knows your team
Stop explaining context. Start getting answers.