GPT Terra
Zendesk
List and search tickets and users; ticket writes remain a gap
Zendesk account with ticket and user read access
Turn a support ticket into a verified fix
Use customer support automation to preserve the ticket, investigate evidence in parallel, repair failed verification in a bounded loop, and keep production rollout behind one release-owner approval.
Required stack
- Recommended models
GPT Terra
Claude Sonnet
Ticket-to-fix Flow#428
Creator
Release owner
Current iteration
1/3
- 015-way evidence fan-out
Preserve and widen the evidence
Read the full ticket, correlate logs, mine similar resolutions, reproduce the issue, and quantify impact in parallel.
- 024 parallel investigation lanes
Investigate without going silent
Engineering traces root cause while other lanes inspect code, prepare a safe workaround, and draft a holding update.
- 034-way verification → repair loop
Prove the fix and repair failures
Unit, integration, replay, and regression suites join; any failed verdict routes back to implementation before review.
- 04Human gate → 5-way closeout
Roll out and verify the outcome
After human approval, deployment, canary, monitoring, customer reply, and knowledge work run together before closeout.
Know every requirement before you create the Flow.
2 of 4 connectors available end-to-end
Account connection is checked after you choose a Workspace.
Jira
Search projects and issues; issue creation remains a connector gap
Jira account with project and issue read access
GitHub
Authorized repository, issue, pull request, review, and CI context
GitHub access to the authorized repository
Connect
Slack
Read channels · Send approval updates
Slack workspace and selected channel access
ConnectFrequently asked questions
- How does customer support automation handle a ticket?
- The Flow preserves the original customer report, gathers support and engineering evidence in parallel, creates a bounded fix path, verifies the result, and prepares an approved customer update.
- Can AI customer support investigate engineering issues?
- Yes. Agents can correlate Zendesk history, Jira issue context, GitHub code and CI evidence, and Slack discussion while preserving the source trail for engineering review.
- What happens when verification fails?
- A failed check routes the work back to the responsible engineering or QA step with the evidence attached. The loop is bounded and cannot silently advance to rollout.
- Does this Flow deploy fixes without human approval?
- No. Production rollout and the final customer communication remain behind accountable human approval gates.