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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.
Watari runs two independent confidence gates (extraction confidence and code-location confidence) before a ticket qualifies as a Mapped Issue, triggers billing, or generates a draft PR.
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.
A support ticket and a bug report are structurally incompatible artifacts (one is written for human empathy, the other for engineering reproduction) and that format mismatch is the real cost hiding in your support-to-engineering handoff.