Description:

I’d like to see Missive rules support dynamic variables and AI-powered label assignment. This would allow emails to be categorized automatically not only based on structured fields (like year, month, client name), but also via AI analysis of the email content.

Practical example:

In my workflow, I create a label for each client and each year (for example, “2025”, “2026”, etc.). I’d like to set up a rule that automatically applies the correct label:

• Based on the email’s metadata (e.g. arrival date → “2025”).

• Or, using AI: analyze the message content and suggest or assign the most relevant label (such as “Financial Statements”, “Billing”, “Collaboration”—detecting the context in the email body).
This would streamline workflows where useful information isn’t always in a structured field but can be inferred by AI.

Why is it useful?

The combination of variables and AI greatly increases automation flexibility: you could categorize by time, topic, client, or business case without manual intervention. This reduces errors, saves time, and improves operational efficiency.

Technical suggestion:

Enable the use of placeholders in rules (like {year}, {month}, {client}) and an “AI assign label” action that analyzes the email text to suggest or assign the most pertinent label, optionally using examples or feedback from the user.