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Use cases / Use case · Email

AI assistants for email

Email is where most knowledge work goes to queue. An assistant doesn't make email interesting — it makes the inbox stop being a to-do list you re-read five times a day: triaged on arrival, drafts waiting where replies are due, and nothing silently forgotten.

01Sound familiar?

  • Re-reading the same unanswered emails every morning
  • Important threads buried under newsletters and CCs
  • Replies that take 90 seconds of typing but wait three days
  • Follow-ups that depend on you remembering to check

02What an assistant does here

  1. 01 Triage on arrival

    Sorts incoming mail by what it actually is — needs reply, needs action, waiting-on-someone, noise — so the inbox reads as a short work queue, not an archaeology site.

  2. 02 Drafts where replies are due

    Prepares responses in your tone for the routine 80%: confirmations, scheduling, standard answers. You edit and send; the typing tax disappears.

  3. 03 Tracks the open loops

    Knows which sent emails await replies and nudges the right person — or you — when the wait exceeds your rules.

  4. 04 Summarises the long threads

    Twelve-message thread, three stakeholders, one decision buried in message eight: summarised with the decision and open questions on top.

03The honest fine print

  • Start read-only: triage and drafts need no send permission, which makes week one zero-risk.
  • The assistant reads your mail to help with it — where that data lives and whether it trains anything are contract questions, not details.
  • Sending should stay behind approval until its judgment has a track record; auto-send is earned, not default.

04Concepts designed for this job

05Go deeper

Eight questions, applied to your situation: run the Assistant Finder for a structured brief — no email required.