---
title: "Technical Issue Diagnosis"
section: "Agent store — Customer Service — Customer Support"
canonical_url: "https://leverge.ai/agents/customer-service/customer-support/technical-issue-diagnosis"
category: "Customer Service"
process: "Customer Support"
trigger: "Run on demand"
publisher: "Ailoitte Technologies Private Limited"
---

# Technical Issue Diagnosis

Read the diagnostic export a customer sent in alongside what they reported, and work out what the evidence actually shows — separating what the logs prove from what the symptom merely suggests.

## At a glance

- Business function: Customer Service
- Process: Customer Support
- Runs: run on demand
- Run cost: 6 credits
- Uses a knowledge base: no

## What it needs

- **What the customer reported** (text brief)
- **Diagnostic export or log** (file upload) — The log, HAR, or diagnostic bundle the customer attached.
- **Environment** (form)

## How it works

1. Reading the diagnostic export
2. Working out what the evidence shows
3. Writing the next steps

## What it returns

- **What the evidence points to** (classification badge)
- **Next steps** (written summary)
- **Candidate causes** (breakdown table)
- **What the log actually proves** (verification checklist)
- **What is missing from the export** (flagged exceptions)

---

Source: https://leverge.ai/agents/customer-service/customer-support/technical-issue-diagnosis — Leverge