MyCrescentAI
Review request workflow
AI review request automation

Ask happy customers for reviews without turning it into manual follow-up.

AI review request automation identifies satisfied customers after approved service milestones, sends polite review requests through approved channels, routes unhappy customers to staff before asking publicly, updates CRM or reputation records, and reports review request, response, and escalation outcomes.

View review workflow
Review stages

Six controls before AI asks for a public review.

The system defines timing, satisfaction checks, approved wording, consent, escalation, CRM updates, and reporting before customer-facing review requests run.

01 / Trigger map

What should trigger AI review requests?

AI review requests should trigger after approved service milestones such as appointment completion, job close, delivery, support resolution, paid invoice, positive reply, or owner approval.

Build output

Review request trigger map

Guardrail

Do not ask before service is complete or before satisfaction is reasonably known.

Metric

Eligible customer count

02 / Satisfaction check

How does AI know who should get a review request?

AI should check satisfaction signals, unresolved issues, sentiment, service notes, complaint status, refund requests, and owner flags before asking for a public review.

Build output

Satisfaction and exclusion rules

Guardrail

Route negative, neutral, angry, sensitive, or unresolved cases to staff before public review requests.

Metric

Escalation rate

03 / Approved message

Can AI send review requests automatically?

AI can send review requests automatically when the message, timing, platform link, sender identity, consent rules, and stop conditions are approved before launch.

Build output

Approved review request templates

Guardrail

Use truthful, neutral language; do not offer incentives or pressure customers for positive reviews.

Metric

Request send rate

04 / Channel routing

Which channel should review requests use?

Review request automation can use email, SMS, CRM tasks, portal messages, or manual owner prompts based on customer preference, consent, business rules, and platform policy.

Build output

Channel routing workflow

Guardrail

Respect opt-outs, consent, quiet hours, and review platform rules.

Metric

Review click-through

05 / CRM and platform update

Can review request automation update systems?

AI review request automation can update CRM fields, reputation tracking records, owner tasks, review request logs, and follow-up status after each send, reply, click, or escalation.

Build output

CRM and reputation update map

Guardrail

Do not fabricate review outcomes or mark reviews as posted without source evidence.

Metric

Record freshness

06 / Reporting and recovery

What should review request automation report?

Review request automation should report eligible customers, requests sent, clicks, public review signals, unhappy replies, opt-outs, failed sends, escalations, and owner follow-up.

Build output

Review request performance report

Guardrail

Review failed sends, unhappy replies, opt-outs, platform issues, and high-value customer escalations.

Metric

Review conversion rate

Proof paths

Connect review requests to workflows, local service teams, and appointment businesses.

View resource library
FAQ

AI review request automation answers

What is AI review request automation?

AI review request automation identifies satisfied customers after approved service moments, sends polite review requests, routes unhappy customers to staff, updates records, and reports review follow-up outcomes.

Can AI ask customers for reviews automatically?

Yes, if the trigger, satisfaction check, approved language, channel, platform link, consent rules, opt-outs, and escalation conditions are defined before launch.

What tools can review request automation connect to?

Common tools include Google Business Profile links, CRM systems, booking tools, job management software, help desks, email, SMS, Slack, Airtable, HubSpot, Salesforce, and reputation tracking tools.

What review requests should AI not send?

AI should not send review requests to unhappy, unresolved, sensitive, angry, opted-out, disputed, or recently escalated customers, and it should not pressure customers or offer incentives for positive reviews.

Reputation guardrails

Review automation works best when unhappy customers are routed to people first.

The system should ask satisfied customers at the right time, respect opt-outs and platform rules, and escalate complaints before any public review request is sent.

View review workflow