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Outbound Use Case

Surveys & Feedback

NPS surveys, customer satisfaction calls, and feedback collection at scale.

Insurance Customer Service

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Outbound relief

Get customer feedback with enough detail to act on.

Useful when leaders need a steady feedback loop across NPS, CSAT, service quality, and follow-up themes.

Worth fixing when

  • customer sentiment changes faster than reports arrive.
  • open comments are more valuable than the score alone.
  • unhappy customers need a recovery path.

Where relief shows up first

01

NPS and CSAT calls

Collect scores by phone when email response is too thin.

02

Customer comments

Capture the words behind the rating so managers know what to fix.

03

Trend signals

Spot recurring complaints, praise, and service gaps across calls.

Best fit for

This use case can apply across several operational teams.

Similar customer result

57%

completion rate

Telemark runs a classic CATI workload on itellicoAI. What used to be a room of dozens of trained human callers now runs through voice agents โ€” configured per study and reviewed in Quality Studio.

View case study

Operator feedback

How teams describe this use case internally.

Representative, unattributed feedback from the roles closest to these calls.

Less manual chase work

โ€œSurveys & Feedback is useful where speed matters more than adding another lead to a list.โ€

Sales manager

Cleaner prioritization

โ€œThe team can see which contacts need attention now and which just need a clear next step.โ€

Operations lead

Better call quality

โ€œThe call feels like service, not a campaign, as long as timing and context are right.โ€

Customer success lead

Why itellicoAI

Voice AI built for the way EU operations actually work.

GDPR in the call path, voice tuned for EU/DACH calling, and an operating loop that ties calls to outcomes, tasks, and audit instead of leaving teams to glue it together themselves.

Scoped launches, not pilots that drift.

Goal, knowledge, handoff rules, and provider choices are written down before live traffic. The rollout has an owner, a path, and an end date โ€” not just a kickoff deck.

Plan

Scope, goals, owners

Train

Knowledge + providers

Test

Quality review

Live

Production traffic

Telephony that holds under load.

Multi-carrier routing, monitored failover, and runtime observability โ€” so transfers actually go through and call records stay intact when traffic spikes.

99.95% uptime

Fluent in Any language.

Same agent logic across English, German, French, Italian, Spanish, and 45+ more โ€” with per-workflow language pinning and regional accent handling when it matters.

ENHow can I help you today?
DEWie kann ich Ihnen helfen?
FRComment puis-je vous aider ?
ITCome posso aiutarla?

+ 45 more languages

Tuned for low-latency calling in Europe.

Optimized WebRTC and SIP infrastructure to keep call latency low across European deployments.

  • Frankfurt
    25ms
  • Vienna
    35ms
  • Amsterdam
    45ms
  • London
    65ms
  • Madrid
    95ms

Every call has an owner after it ends.

Reviews, follow-up tasks, and handoffs all tie back to the source conversation. No re-reading transcripts in a spreadsheet to figure out what to do next.

Quality Studio
Follow-up tasks
Handoff rules
Audit log + exports

Questions

Use Case
FAQ.

What does Surveys & Feedback automate?

NPS surveys, customer satisfaction calls, and feedback collection at scale. This use case handles repetitive call volume while escalating complex conversations to your team.

Which industries use this use case?

Typical industries include service-heavy teams.

How quickly can this go live?

Most teams launch a first production-ready version within a few days, then optimize based on real conversations.

Can calls be handed off to human staff?

Yes. You can configure rules for immediate transfer by intent, urgency, business hours, or customer type.

What should we prepare before launch?

Prepare your call goals, transfer rules, business-hour logic, and required system integrations (calendar, CRM, ticketing).

Surveys & Feedback | itellico.ai | itellicoAI