AI Cleanup Doctor
AI Reply Risk Checker

Check AI reply risk before a draft reaches a customer.

For contractors, local service teams, and agencies using AI-drafted emails, SMS, or inbox replies. This local tool flags when a human should review, rewrite, or stop a draft before it creates a customer-service problem.

Set the review context.

Choose the situation and any relevant risk flags. The review result updates as you choose them; optional notes are for the human reviewer. Nothing is sent automatically. Use business-level context only and keep private customer records out of the tool.

Draft contains

What this checks

1. Promise risk Flags prices, refunds, appointment promises, service promises, or other commitments that should be confirmed first.
2. Sensitive-data risk Flags drafts that ask for passwords, verification codes, payment details, medical records, legal records, or private customer records.
3. Human handoff risk Flags tone, opt-out, consent, urgent, and regulated-topic issues where a person should take ownership.

Safe use boundaries

Do not enter passwords, verification codes, payment card data, bank data, SSNs, medical records, legal records, insurance claim files, or private customer records into this tool.

AI Cleanup Doctor can help review workflow risk, draft structure, human approval steps, and follow-up tracking. It does not replace legal, medical, insurance, accounting, tax, financial, emergency, or professional advice.

Safe-to-send proof packet

Before a draft reaches a homeowner, contractor client, agency client, or support inbox, keep a small proof packet that shows why the reply was safe enough to send or why it was stopped.

1. Verified facts Record which facts a person confirmed: customer name, job type, service area, date, source, current status, and the owner of the next step.
2. Removed claims Note any pricing, timing, warranty, diagnosis, insurance, legal, medical, or financial statements removed from the AI draft.
3. Human owner Name the person or role responsible for final wording, follow-up timing, opt-out handling, and any customer-facing commitment.

A Stop result means the draft is not ready for a customer. Rewrite it, route it to the responsible person, and keep private customer data out of the review record.

Reply boundary evidence checklist

Use this before approving a contractor, agency, or local-service reply that mentions a next step. The goal is not to make the reply slower. The goal is to make sure the reply only says what the team can verify.

1. Quote and payment claims Confirm price, discount, refund, financing, deposit, invoice, and payment language against the source record. If the source is missing, rewrite the reply as a next-step request instead of a promise.
2. Timing and availability claims Confirm appointment windows, arrival times, emergency availability, callback timing, and crew capacity with the person or system that owns scheduling.
3. Diagnosis and safety claims Do not let an AI draft diagnose damage, promise a repair result, give safety instructions, or interpret insurance, medical, legal, tax, or financial issues without qualified human review.
4. Identity and consent claims Check the customer name, job address, opt-out status, consent state, and account identity before replying. Stop if the draft asks for passwords, codes, payment data, or private records.
5. Evidence note Record the source used for approval: inbox thread, CRM note, call log, dispatch board, estimate, service record, or owner approval. If no source exists, mark the reply review-needed.

This checklist does not approve a reply by itself. It helps a responsible person decide whether the reply can be sent, should be rewritten, or should be routed to someone qualified before the customer sees it.

Need a human to review the whole workflow?

Use this checker for a quick local screen. If the problem extends across your inbox, CRM, or follow-up process, review the one-time $197 AI Leak Scan. It covers human review of up to 25 redacted lead records; any broader repair is scoped only after the findings.

1. Define the problem Note the workflow, handoff, or reply risk you want reviewed without including passwords, verification codes, payment details, or private customer records.
2. Check the evidence standard Review illustrative sample reports to see the deliverable format and decision logic. These examples are not evidence of past customer outcomes.
3. Confirm scope before ordering Read the service terms and confirm that the scan scope matches the records and questions you want reviewed before ordering.