
Who owns an AI-drafted reply in a shared inbox?
Answers to the accountability questions teams hit with AI drafts: who owns a reply, how to treat drafts, editing conflicts and whether to note AI use.
5 min read

Answers to the accountability questions teams hit with AI drafts: who owns a reply, how to treat drafts, editing conflicts and whether to note AI use.
5 min read

Before-and-after examples of AI-drafted follow-ups after silence, after a meeting and after a fix, with the edits that remove filler and add a clear next step.
5 min read

Using AI to read and answer email in other languages: formality, idioms, names, verifying critical lines, telling customers, and keeping a shared glossary.
5 min read

Run a two-week AI drafting pilot with two or three people: pick categories, rate edits, log failures, set go/no-go criteria, then roll out with a style guide.
4 min read

The same customer reply written formal, friendly and firm, with notes on what changed, prompts that steer AI tone, and how to strip over-apology and filler.
4 min read

AI drafts can invent features, dates, policies, links and names. Five worked examples of each kind of error, plus a habit that catches them before sending.
5 min read

A one-page style guide template for AI-drafted email: voice, banned words, formatting, sign-offs, and the policies a model must never invent on its own.
5 min read

A quick checklist for reviewing AI-drafted email replies before you send: recipients, facts, promises, tone, links and the things a model simply can't know.
4 min read

A bad AI draft costs seconds; a bad sent email costs trust, money or worse. Why the review step between draft and send is a feature, not a limitation of AI.
4 min read