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ReplyAuditor is a quality gate for AI-drafted customer support replies.

ReplyAuditor is a quality gate for AI-drafted customer support replies — checks hallucination, PII leaks, brand tone, and policy compliance, then returns a ship/hold verdict for support leads.

Typical path: 3 reviewable steps (input → generate → review). No fabricated user counts.

What does ReplyAuditor include at a glance?

  • Hallucination guard
  • PII leak check
  • Brand/tone rules
  • QA dashboard (Team)

How do you use ReplyAuditor?

  1. 1. Paste the AI draft

    Provide the support reply the model drafted (plus ticket context if useful).

  2. 2. Run the quality gate

    Check hallucination, PII, tone, and policy.

  3. 3. Ship or hold

    Follow the verdict; agents still own the final send.

What do people ask about ReplyAuditor?

What is ReplyAuditor?

ReplyAuditor quality-gates AI-drafted support replies for hallucination, PII, tone, and policy.

What verdict does it return?

A ship or hold recommendation with the blocking issues.

Who should use it?

Support leads deploying AI draft assistants.

What do I paste in?

The AI-drafted reply (and any ticket context you want checked).

Does it replace human review?

No. It is a decision-support gate; agents still own the final send.

Does it guarantee zero hallucinations?

No. It flags likely issues; edge cases still need human judgment.

Which countries and regions can I use ReplyAuditor in?

As a cloud web app, ReplyAuditor is reachable from any country with internet access; there is no region lock by default. Payment availability via our merchant of record (Waffo Pancake) may vary by processor and region.

Is ReplyAuditor GDPR and privacy compliant?

Your inputs are used only to generate your output and are never sold. Retention, sub-processors, and your rights are described on our Privacy page; Enterprise plans can include a DPA and NDA on request.

What languages does ReplyAuditor support?

The interface and generated results are in English. You can paste input in other major languages wherever the underlying model understands them.

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