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Watari connects to Intercom via OAuth, reads every conversation thread including attachments and voice notes, extracts a structured bug report with severity and repro steps, and opens a draft GitHub PR mapped to a specific file and function, no manual copy-paste required.
When Zendesk or Intercom tickets about the same bug arrive days apart, support tools miss the duplicate because they compare message text, not bug structure, here's how structured extraction fixes that.
Watari extracts a structured bug from a Zendesk or Intercom ticket, maps it to a specific file and function in Azure Repos via Microsoft Entra ID, and opens a draft pull request, without manual copy-paste between your support queue and Azure DevOps work items.
Most Zendesk and Intercom tickets land in Linear as half-filled issues with no repro steps and wrong severity. This post shows how structured extraction and duplicate detection fix that before the sync ever fires.
Intercom conversations lack a subject line, mix bot noise with real repro steps, and fragment context across dozens of short messages. This post explains how structured bug extraction handles the chat format and routes actionable reports to GitHub, Linear, and Jira.