---
title: "Customer Testimonial Request"
section: "Agent store — Customer Service — Feedback Management"
canonical_url: "https://leverge.ai/agents/customer-service/feedback-management/testimonial-request"
category: "Customer Service"
process: "Feedback Management"
trigger: "Run on demand"
publisher: "Ailoitte Technologies Private Limited"
---

# Customer Testimonial Request

Find the customers whose own words are worth asking to quote publicly, and draft each ask so it names what you want to quote and how consent works. Every draft is approved individually — nothing is sent.

## At a glance

- Business function: Customer Service
- Process: Feedback Management
- Runs: run on demand
- Run cost: 8 credits
- Uses a knowledge base: no

## What it needs

- **Candidate customers** (file upload) — Customers with positive feedback on record, plus what they actually said and where.
- **Request settings** (form)

## How it works

1. Reading the candidates
2. Shortlisting who to ask
3. Drafting ask {{loop.index}} of {{loop.total}}
4. Summarizing the batch

## What it returns

- **This batch** (metadata grid)
- **Batch summary** (written summary)
- **Drafted asks — approve each individually** (table of results)
- **Not asked** (flagged exceptions)

---

Source: https://leverge.ai/agents/customer-service/feedback-management/testimonial-request — Leverge