Team intelligence
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.
User profiling
Ayven extracts facts about team members from natural conversation:
- Display name, title, email: basic profile data from the chat platform
- 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 the platform's metadata
- Actual discussion patterns: what really gets talked about
- Key participants: who's most active, most expert
- Content types: questions, announcements, decisions
How the discovery works
Ayven learns continuously, without manual setup:
- Message analysis: facts are extracted from conversations
- Profile aggregation: facts merge into coherent profiles
- Confidence decay: old facts are weighted less than recent ones
- Privacy-first: only workspace-public messages are analysed
What it enables
- Smarter search: "Who worked on the pricing model?" resolves to the person and channel where it actually happened
- Better assignments: ticket assignee suggestions based on expertise match
- Channel routing: findings posted where they belong — technical results to the engineering channel, product findings to product
- Context-aware writing: documents use the terminology your team actually uses
Privacy by design
- Only messages in channels Ayven is invited to are analysed
- DMs and private channels are excluded
- Facts are stored with confidence scores, not raw messages
- Access is revocable anytime through your chat platform's settings