# Bug Triage and Engineering Handoff

*AI Customer Support Team*

Turn bug reports into clean engineering tickets in minutes

Customer bug reports arrive as fragments. A screenshot, a half remembered error message, a complaint that something is broken. Your engineering team spends hours every week translating these into reproducible tickets they can actually fix.,Your AI support team handles the translation. It collects the missing details from the customer, reproduces the issue when possible, attaches the relevant logs, and files a clean ticket with steps to reproduce, expected behavior, and observed behavior.,Duplicates are caught automatically. If three customers report the same crash on the same screen, they all get linked to one ticket. Engineering sees the real impact instead of triaging the same bug three times.

## Benefits

### undefined



### undefined



### undefined



### undefined



## How It Works

1. **Step 1** — 
2. **Step 2** — 
3. **Step 3** — 
4. **Step 4** — 

## At a Glance

- **70%** Reduction in engineering triage time
- **100%** Tickets shipped with repro steps
- **Auto** Duplicate detection across reports

## Engineers Should Fix Bugs, Not Triage Them

## Closing the Loop Builds Loyalty

## FAQ

### Which engineering trackers does it integrate with?

Linear, Jira, GitHub Issues, GitLab Issues, Asana, and any tracker with a webhook. Tickets are filed with your existing labels, priorities, and component conventions.

### How does it find duplicates?

It compares ticket symptoms, stack traces, and impacted screens against open and recently closed bugs. Likely duplicates are linked to the original instead of opening a new ticket.

### Can engineering still ask the AI for more info?

Yes. If the engineer needs more from the customer, they comment on the ticket and the AI relays the question, gathers the answer, and updates the ticket.