Draft email replies using docs context
When you need to reply to an email, Macha reads the thread, searches relevant Notion docs for context, and drafts a response for your review — with accurate information from your internal sources.
Speeds up email responses while ensuring accuracy by pulling from your documentation.
How it works
Email Received
Email needs a response
I got an email from a partner asking about our API rate limits and pricing tiers. Can you help me draft a reply?
Read email
Partner asking about API rate limits for Enterprise tier
Search docs
Found "API Documentation" and "Pricing Tiers" in Notion
Here's a draft reply:
"Hi Mark, thanks for reaching out about our API. Here are the details for the Enterprise tier:
• Rate limit: 10,000 requests/minute
• Monthly quota: 5M requests
• Priority support and dedicated endpoint available
• Pricing: Custom — I'd love to set up a call to discuss your specific needs.
Would Thursday at 2pm work for a quick chat?"
Shall I adjust anything before sending?
Triggers & Actions
Trigger
Email Received
Google Workspace
Email needs a response
Action
Read Emails
Google Workspace
Search and read emails from Gmail by sender, subject, label, or date range.
Action
Search Pages
Notion
Search across all Notion pages by title or content keyword.
Action
Get Page
Notion
Retrieve the full content of a Notion page including nested blocks.
Action
Compose Email
Google Workspace
Draft and send an email with recipients, subject, and formatted body — with confirmation.
Related use cases
Respond to common questions via Slack
When someone asks a question in Slack, Macha searches internal documentation in Notion and replies in-thread with the answer — complete with source links.
Sync resolved ticket insights to Notion
When tickets are resolved, Macha extracts key insights — issue type, resolution, customer sentiment — and logs them to a Notion database for tracking and analysis.
Answer policy questions from Notion wiki
When a customer asks a policy question, Macha searches the internal Notion wiki for the relevant documentation, extracts the answer, and replies on the ticket with a clear, accurate response.
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