Trigger
Service completed — call scheduled
A project wraps up or a service is delivered. The feedback call is automatically scheduled — typically two to five days after completion.
Customer Feedback Agent
AI Customer Feedback Agent: Capture NPS, Spot Churn Risks, and Uncover Upsells Automatically
An AI customer feedback agent that calls after service completion to collect NPS scores, capture verbatim sentiment, flag churn risks, detect upsell signals, and request testimonials — built for teams that want retention insights without manual outreach.
- Calls customers within days of service completion — timed automatically.
- Captures NPS scores, open-ended feedback, and verbatim sentiment in one call.
- Flags churn risks, upsell signals, and testimonial candidates automatically.
Setup in 2 minutes • No contracts • Cancel anytime
Real customer feedback call
Live AI voice demo
Talk to the Customer Feedback Agent Live
Set a quick scenario and test the conversation flow.
No signup required
Live demo
Customer Feedback
Capture NPS and uncover upsell opportunities.
0:00
Human verification
Live transcript will appear here once you start talking.
Microphone access is required. Demo sessions are capped at 5 minutes, can end after 30 seconds of inactivity, and may end earlier during peak traffic.
Scenario setup
Tip
Keep it short and realistic. These details shape the agent's responses in real time.AI 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.
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
AI flags risks, signals, and opportunities
Churn risks from low scores, upsell signals from expansion mentions, and testimonial candidates from promoters are tagged automatically during the call.
Route
Issues, upsells, and testimonials routed to teams
Complaints route to support for fast resolution. Upsell signals route to sales. Testimonial consent routes to marketing. Everything is logged in CRM.
Start the lifecycle earlier with the lead qualification agent to qualify leads before they become customers.
AI 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.
Upsell and cross-sell opportunity identification from positive feedback conversations.
Testimonial and referral request capture during high-satisfaction calls.
CRM logging with tagged sentiment, NPS scores, and recommended next actions.
Compare all four agent workflows on the AI agents overview page to see where customer feedback fits in your revenue lifecycle.
What an AI Customer Feedback Call Sounds Like
A real post-project NPS call after a $12,000 office renovation — the agent captures a 9/10 score, flags a timeline concern, secures a testimonial, and detects an upsell opportunity in one 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. Since you had such a positive experience overall, would you be open to providing a brief testimonial we could share?
Customer
Sure, I would be happy to. Also, we are actually looking at renovating our second location next quarter.
AI Agent
That is great to hear — I will have your account manager reach out about the second location. Thank you for the feedback and the testimonial. We appreciate your business.
Outcome summary
What gets logged after the call
- NPS score captured: 9/10 (Promoter)
- Issue flagged: timeline delay on electrical phase — routed to operations
- Testimonial consent captured — routed to marketing team
- Upsell signal detected: second location renovation planned for next quarter
- Follow-up task created for account manager with expansion context
One call captures four actionable outcomes — an NPS score, a quality concern, a testimonial, and an expansion lead. That is the difference between voice feedback and a one-click email survey.
AI Feedback Calls vs Email Surveys: How the Options Compare
See how an AI customer feedback agent stacks up against email surveys, manual calls, and collecting no feedback at all.
| Option | Response Rate | Sentiment Depth | Cost | Churn Detection | Scalability |
|---|---|---|---|---|---|
| AI Feedback Agent | 60–70% | High (voice) | $ | Real-time | Unlimited |
| Email survey | 10–15% | Low (ratings) | $ | Delayed | High |
| Manual calls | 40–50% | High | $$ | Variable | Limited |
| No feedback collection | 0% | None | $0 | None | N/A |
After collecting feedback, use the invoice reminder agent to ensure satisfied customers pay on time.
Which Businesses Use an AI Customer Feedback Agent?
From post-job check-ins to renewal-cycle NPS, the AI 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 drive repeat bookings, Google reviews, and referrals. Catch quality issues before they become negative reviews.
Agencies and professional services
Client relationship health checks after project delivery that prevent silent churn and surface expansion opportunities before renewal conversations.
SaaS and subscription businesses
Renewal-cycle NPS collection that identifies at-risk accounts early, giving your customer success team time to intervene before cancellation.
Healthcare and wellness
Patient and client experience measurement for service quality tracking, compliance documentation, and referral generation.
Team design
| AI handles | Your team handles |
|---|---|
| Post-service NPS and satisfaction calls | Escalated complaint resolution |
| Sentiment capture and scoring | Relationship repair conversations |
| Testimonial and referral requests | Case study production and PR outreach |
| Upsell signal detection and logging | Expansion deal negotiation |
| Churn risk flagging and alerting | Retention strategy and save offers |
Before feedback, ensure proposals close with the estimate follow-up agent.
Related resources
Guides and Resources for Customer Feedback Collection
Explore product pages and guides to build a complete customer feedback loop.
Lead Qualification Agent
Start the revenue lifecycle by qualifying inbound leads with AI before service begins.
AI Voice Agents Overview
Compare all four AI agent workflows: leads, estimates, invoices, and feedback.
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