Slite
AI knowledge base for teams that surfaces answers from company docs, auto-organizes content, and reduces repetitive Slack questions without opening multiple tabs.
Slite is an AI-powered team knowledge base that addresses the core problem of organizational knowledge becoming impossible to find as a company grows. Teams document processes, decisions, and institutional knowledge in Slite, and the AI layer makes that content retrievable through a natural language question interface - team members ask "what is our refund policy" or "how do we onboard enterprise clients" and get a direct answer sourced from the relevant document rather than a list of search results to manually read through. The AI also organizes new content by suggesting where it belongs in the knowledge structure, flags outdated documents for review, and generates summaries of long pages. Slite integrates with Notion, Google Drive, Slack, and GitHub for importing existing company documentation. Founded in 2017 and based in Paris, Slite raised $16 million and serves engineering, product, and people teams. Pricing is freemium with paid plans starting at around $12.50 per member per month.
Key Features
- AI question and answer search that returns a direct answer from company documentation rather than a list of search results to skim manually
- Document organization suggestions that recommend where new pages belong in the knowledge structure based on content and existing categories
- Outdated document detection that flags pages that have not been updated in a configurable period and assigns them to an owner for review
- Page summarization that generates a one-paragraph summary of long documents for teammates who need the key points quickly
- Slack integration with a Slite bot that answers questions asked in Slack channels by searching the knowledge base and posting the answer in-thread
- Import connectors for Notion, Confluence, Google Drive, and GitHub to migrate existing documentation without recreating content manually
Use Cases
- Engineering teams documenting architecture decisions, runbooks, and onboarding guides who want new hires to find answers without asking senior engineers
- People ops teams managing company policies, benefits, and HR processes in a searchable knowledge base accessible to all employees on day one
- Remote and async teams who need institutional knowledge to be self-serve so questions that used to require a Slack ping can be answered by the AI
- Customer support teams building internal product knowledge bases so agents can quickly find accurate answers without escalating to product or engineering
Pros
- AI answer search changes the knowledge base from something people search through to something that actually answers questions - fundamentally different interaction model
- Outdated document detection and review assignment solves the most common failure mode of team wikis - content becoming stale and untrustworthy over time
- Slack integration meets team members where they already ask questions rather than requiring everyone to change behavior and open the knowledge base first
Cons
- AI answer quality is only as good as the underlying documentation - teams with incomplete or poorly written docs get incomplete or misleading answers
- Less suited for collaborative document creation than Notion or Confluence - Slite is optimized for reference documentation, not working documents
- Per-member pricing adds up for companies with large employee counts who need read-only access for the majority without editing permissions
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