Escalate product UAT critical bugs with OpenAI, Jira and Slack

Description

Automatically detect and escalate Product UAT critical bugs using AI, create Jira issues, notify engineering teams, and close the feedback loop with testers.

This workflow analyzes raw UAT feedback submitted via a webhook, classifies it with an AI model, validates severity, and automatically escalates confirmed critical bugs to Jira and Slack. Testers are notified, and the original webhook receives a structured response for full traceability.

It is designed for teams that want fast, reliable critical bug handling during UAT without manual triage.

Context

During Product UAT and beta testing, critical bugs are often buried in unstructured feedback coming from forms, Slack, or internal tools.

Missing or delaying these issues can block releases and create friction between Product and Engineering.

This workflow ensures: