Tettra builds an internal knowledge base from Google Docs, PDFs or native pages, then makes it queryable through an AI Slack bot called Kai that answers team questions instantly by drawing on that documented knowledge. Beyond Q&A, it automates knowledge management itself – verifying content stays current, identifying gaps where documentation doesn’t exist yet, and routing edits through an approval flow.
Answering directly in Slack, where teams already ask each other these questions, rather than requiring someone to remember to check a separate wiki, is what actually gets a knowledge base used – the biggest failure mode for internal documentation tools is that people don’t go looking in them, and meeting the question where it’s already being asked solves that directly. Automated gap identification also means the knowledge base actively improves from real usage patterns rather than staying static until someone remembers to update it.
An AI bot answering from a knowledge base is only as good as that base’s actual content and currency – the content-verification workflow matters as much as the Q&A feature itself, and skipping it lets the bot confidently answer from stale information. A 30-day full-feature free trial with no card required is available to test fit against a real team’s actual question patterns.
