Why AI support replies should be reviewed before sending

AI support replies should be reviewed before sending because a draft can be fluent, polite and wrong at the same time. The model doesn't know this order's status, whether the exception it just offered is allowed, or that the customer has already been promised something different by a colleague. A person does. That's why ReplyRabbit saves every reply as a normal FreeScout draft and never sends it: the agent reads, edits and presses send, on every ticket, on every plan.

What a draft can get wrong

• Facts about this customer. Order status, what they own, what they were told last time. Unless a store connector is feeding the draft, these are inferred from the email.
• Policy. The model applies the policy in your company context. If the case isn't covered, it may improvise an exception.
• Tone for this moment. A calm draft to a furious customer can read as dismissive. A warm draft to a terse enterprise contact can read as unprofessional.
• Commitments. "We'll ship a replacement today" is easy to write and expensive to get wrong.
• Recipients. Smart reply routing gets the default right, but a thread with a reseller and an end customer still needs a glance.

None of these are model failures exactly. They're the things that need judgement and access, which is what the agent brings.

What review costs, and what it saves

A review takes a minute on a routine ticket: read the draft, check the one or two specifics, send. Compare that with writing from a blank box, which takes several minutes and still needs the same checks. The draft doesn't remove the review; it removes the typing. That's the trade, and it's a good one as long as the review actually happens.

The failure mode is agents clicking send without reading because the drafts are usually fine. "Usually" is the problem. The tickets where the draft is wrong are the ones that reach a customer.

A review that takes sixty seconds

• Read the customer's message first, then the draft. Does the draft answer what was asked?
• Check every specific: date, amount, product, promise. Each one is in your records or it comes out.
• Ask whether you'd say this to the customer's face. If not, fix the tone; the rewrite options (nicer, shorter, more direct) are one click.
• Check who it's addressed to.
• Send.

How ReplyRabbit supports the review

• Drafts are drafts. They sit in the FreeScout conversation like any draft an agent saved. Auto Draft only changes when the draft is written, not whether it's sent.
• The question is quoted. Drafts put the customer's question on its own line, so the agent can see at a glance whether it was answered.
• Confidence scoring on the Team plan shows how sure the AI was, so the agent knows which drafts deserve a slower read.
• AI Signals on Pro and Team flag conversations that need human attention before anyone opens them.
• Next Actions on Pro lists follow-ups on the ticket, so what's promised in the reply has somewhere to be tracked.
• Audit log on Team records every AI action, so a reviewer can see what was drafted and what was changed.

Automation that doesn't touch the customer

Some ReplyRabbit automation does act without a person: on the Team plan, a bug report can become a Linear, GitHub or Jira issue automatically, and Workflow Tags can trigger FreeScout Workflows recipes. Those are internal actions. The customer-facing reply is always sent by a human, which is the line that keeps AI assistance safe to run on a real inbox.

For setup, see How to set up ReplyRabbit and Getting started with ReplyRabbit. Questions about what's automated and what isn't are answered in the FAQ, and Troubleshooting ReplyRabbit covers drafts that don't appear.