Customer Feedback Agent: Catch unhappy customers while it's fixable

After a final payment, your agent calls to ask for a 0 to 10 score (NPS) and the reason. Scores of 6 or lower are flagged for your team to follow up.

Not just a score. A chance to make it right.

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Customer Feedback

Capture NPS and the reason behind each score.

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Tip

Keep it short and realistic. These details shape the agent's responses in real time.

Customer Feedback Workflow: Service to Insight in Four Steps

The agent handles the entire post-service feedback loop, from scheduling the call to routing actionable insights to the right team. The agent uses your product and service descriptions for personalized conversations.

Trigger

Final payment received, call scheduled

When the customer's final payment is recorded in InvoicifyAI, the feedback call is scheduled automatically: 1, 7, or 14 days later, or after a custom delay you set.

Call

NPS score and open-ended feedback

The agent asks for an NPS rating, then follows up with open-ended questions about what went well and what could improve. Voice captures richer sentiment than a form.

Analyze

Score, category, and reason saved

The 0 to 10 score is classified as promoter, passive, or detractor, and the reason is saved in the customer's own words.

Route

Unhappy customers flagged for follow-up

Detractors, negative calls, and callback requests are flagged for your team with the call summary, so problems get fixed before they become bad reviews.

Start the lifecycle earlier with the lead qualification agent to qualify leads before they become customers.

Customer Feedback Agent Features

The agent combines NPS collection with deep sentiment analysis, so every completed service gets a professional follow-up that captures actionable retention data.

Automated post-service NPS calls timed to reach customers when feedback is freshest.
Open-ended follow-up questions that capture verbatim sentiment beyond numeric scores.
Churn risk detection from negative scores, complaint patterns, and sentiment signals.
Promoter, passive, and detractor classification from every 0 to 10 score.
Follow-up flags for detractors, negative calls, and callback or manager requests.
CRM logging with tagged sentiment, NPS scores, and recommended next actions.

Compare reception and the outbound Voice Agent workflows on the AI agents overview page to see where customer feedback fits in your revenue lifecycle.

What a Customer Feedback Call Sounds Like

A post-project NPS call after a $12,000 office renovation: the agent captures a 9/10 score, the reason behind it, and a timeline concern for the team, in one short conversation.

Sample transcript

Post-project NPS call: office renovation

AI Agent

Hi, this is Casey calling from Bright Solutions. We recently completed the office renovation project at your downtown location, and I wanted to check in on how everything went.

Customer

Oh hi. Yes, overall we are really happy with the result. The space looks great.

AI Agent

That is wonderful to hear. On a scale of 0 to 10, how likely would you be to recommend Bright Solutions to a colleague or business contact?

Customer

I would say a 9. The only thing was the electrical phase ran about a week behind schedule.

AI Agent

Thank you, a 9 is great. I have noted the timeline concern on the electrical phase so the team can address that going forward. What stood out most about the project for you?

Customer

The crew kept the site clean every day, and the project manager answered every question fast.

AI Agent

Thank you, that is helpful. I have saved your comments for the team. We appreciate your business.

Outcome summary

What gets logged after the call

  • NPS score captured: 9/10 (Promoter)
  • Issue flagged for follow-up: timeline delay on the electrical phase
  • Reason captured: clean site and fast answers from the project manager
  • Call summary and sentiment saved with the customer's call history

One call captures a score, the reason in the customer's own words, and a concern the team can fix. That is the difference between voice feedback and a one-click email survey.

Feedback Calls vs Email Surveys: How the Options Compare

See how a voice customer feedback agent stacks up against email surveys, manual calls, and collecting no feedback at all.

OptionResponse RateSentiment DepthCostChurn DetectionScalability
Feedback AgentOften stronger than email-onlyHigh (voice)$$Real-timeUnlimited
Email surveyTypically lower engagementLow (ratings)$DelayedHigh
Manual callsStrong when staff has capacityHigh$$$$VariableLimited
No feedback collection0%None$0NoneN/A

After collecting feedback, use the invoice reminder agent to ensure satisfied customers pay on time.

Which Businesses Use a Customer Feedback Agent?

From post-payment check-ins to NPS after every paid invoice, the agent handles routine satisfaction calls while your team focuses on retention strategy and relationship repair.

Use cases

Home services and contractors

Post-job satisfaction calls that show which customers are happy and catch quality issues before they become negative reviews.

Agencies and professional services

Client relationship check-ins after the final invoice is paid that flag unhappy clients before renewal conversations.

SaaS and subscription businesses

NPS after each paid invoice that identifies at-risk accounts early, giving your team time to intervene before cancellation.

Wellness and appointment-based clinics

For clinics that invoice in InvoicifyAI: non-clinical feedback on the booking and visit experience after payment, with staff-review handoff and no diagnosis, triage, or regulated health intake.

Team design

Agent handlesYour team handles
Post-service NPS and satisfaction callsEscalated complaint resolution
Sentiment capture and scoringRelationship repair conversations
Promoter, passive, and detractor classificationReview and referral asks to happy customers
Reason capture in the customer's own wordsExpansion and repeat-work conversations
Churn risk flagging and alertingRetention strategy and save offers

Before feedback, ensure proposals close with the estimate follow-up agent.

Customer feedback agent pricing

Included in Business. AI Receptionist and Call for Me come with every plan.

Answer + call for you

Starter

Inbound AI receptionist, calls made for you, and core operations

$99 USD/month
  • 24/7 AI Receptionist
  • Call for Me
  • Calls suppliers and offices for you
  • 200 AI voice minutes, shared
  • Then $0.45/min overage
  • Email, SMS, and 2-way messaging
  • Booking with Google Calendar sync
  • Unlimited invoices, estimates, and clients
  • Works with ChatGPT and Claude
  • English, French, and Spanish
  • Plus call analytics, guardrails, and a 10 GB Document Hub with AI search
Start Starter trial

Answer + follow up

Pro

AI receptionist, CRM, AI Advisor, and invoice reminders

$149 USD/month
  • Everything in Starter
  • 400 AI voice minutes, shared
  • Then $0.35/min overage
  • Invoice Reminder Agent
  • Calls about overdue invoices and payment plans
  • Full CRM Suite
  • AI Advisor included (50 monthly queries)
  • 50 GB Document Hub, 500 AI searches/month
  • Advanced analytics & reporting
Start Pro trial
Included: Customer Feedback Agent

The full front office

Business

AI front desk plus every follow-up call: leads, quotes, invoices, and feedback

$199 USD/month
  • Everything in Pro
  • 800 AI voice minutes, shared
  • Then $0.25/min overage
  • 4 outbound Voice Agents
  • Lead qualification, estimate follow-up, invoice reminders, and customer feedback
  • AI Advisor included (100 monthly queries)
  • 100 GB Document Hub, 2,000 AI searches/month
Start Business trial

Available in the US and Canada · Prices in USD · 7-day trial, card required, billed when the trial ends unless you cancel

Frequently Asked Questions

A customer feedback agent is a voice assistant that calls customers after their final payment is recorded to collect a 0 to 10 NPS score and the reason behind it, classify promoters, passives, and detractors, and flag unhappy customers for your team, without manual outreach. It is strictly for feedback: it does not sell or ask for reviews.

The agent asks the standard NPS question (how likely are you to recommend us, on a scale of 0 to 10), then follows up with open-ended questions about what drove the score. Voice conversations capture richer sentiment than one-click email surveys.

Feedback calls start after the customer's final payment is recorded in InvoicifyAI. You choose the delay: 1, 7, or 14 days after payment, or a custom number of days. Calling too early may feel intrusive; waiting too long loses detail.

Yes. Detractor scores (0 to 6), negative calls, and requests to speak with a manager or get a callback are flagged for follow-up on the call record, with the customer's own words, so your team can step in early.

No. The call is strictly for feedback. The agent asks promoters what they enjoyed and asks detractors what went wrong. If you want reviews or referrals, your team can follow up with promoters using the scores and comments saved from the call.

The agent acknowledges dissatisfaction empathetically, asks clarifying questions to understand the root cause, and logs the issue for immediate team follow-up. It never argues, dismisses concerns, or makes promises it cannot keep.

The agent asks the standard 0 to 10 question, then follows up on the customer's answer: promoters are asked what they enjoyed, and detractors what went wrong and how it could be fixed.

Voice feedback calls can drive stronger participation than email-only surveys because they feel more personal and allow follow-up questions. Actual response rates vary by industry, timing, customer relationship, and call script.

Yes. The NPS score, promoter, passive, or detractor category, sentiment, call summary, and follow-up flag are saved with the call in InvoicifyAI, so the customer's history shows how each job went.

Expect results to vary by customer list quality, timing, brand relationship, and whether callers recognize your business. The useful comparison is that phone feedback often captures richer participation and sentiment than email-only surveys.

For routine post-service check-ins, NPS collection, and satisfaction monitoring, yes. Most teams keep customer success managers for escalated issues, relationship repair, retention strategy, and expansion conversations.

Natural, human-like voice is powered by ElevenLabs. Anthropic Claude and OpenAI GPT models support agent reasoning, transcript analysis, summaries, and follow-up intelligence. InvoicifyAI combines those models with your service context, NPS workflow, and CRM history so feedback calls surface low scores and concerns for follow-up.