Marzo AI automatically extracts context by continuously analyzing your team’s real conversations, meetings, and activity across all your connected tools—without requiring any manual input.
How It Works
Connects to your work tools:
Once you connect Slack, Google Meet, Calendar, GitHub, Jira, Linear, and other tools, Marzo AI begins to ingest relevant messages, meeting transcripts, project updates, and tickets—always respecting your existing permissions.
AI-powered analysis:
Marzo AI uses advanced language models to scan these sources for key signals—like decisions, commitments, blockers, deadlines, and risks—based on both the language used and the context of the discussion.
Cross-platform intelligence:
Context is extracted not just from one tool, but across all conversations and timelines—so if a decision is made in a meeting and referenced in Slack a week later, Marzo AI will connect those dots and track how things evolve.
Timeline reconstruction:
By mapping out when and where topics were discussed, Marzo AI can show the full story of how a decision or blocker developed—even if it happened across multiple platforms or over several weeks.
Continuous learning:
The more your team interacts with context items (marking as done, muting, following, providing feedback), the better Marzo AI becomes at identifying what’s truly relevant and filtering out noise.
No Manual Tagging or Extra Work
You don’t need to manually tag messages or add context—Marzo AI listens in the background and surfaces insights for you automatically. Everything extracted comes with source links, so you can always verify the origin.