The situation
14:07 UTC. A merchant opens Zendesk ticket #4821: "Checkout is failing for EU customers since ~14:00 UTC."
Maya is tier-1 support. She can read the ticket. She can't read the orders table, Sentry or the deploy history. On the old path the ticket becomes a message in #eng-oncall, a senior backend engineer drops what they're doing, and the merchant waits out the round trip: 2 people, 1 context switch, 42 minutes before anyone has looked.
The escalation was never about who could fix it. It was about who could look.
What Triagic looked at
The ticket was triaged and investigated when it landed. Read-only, against the connected systems:
- Zendesk: the ticket itself, with personal data redacted before the model sees it.
- Postgres:
SELECT status, count(*) FROM orders WHERE region='eu' GROUP BY status, inside a read-only transaction.
- Sentry: new issues since 14:00. 312 new
StripeCardError events, first seen 14:02 UTC.
- GitHub: recent releases. The error onset matches release
2026.08.02-checkout-refactor.
What it found
Root cause: the checkout-refactor deploy broke EU card charges. checkout-api 5xx went from 0.2% to 38%. Every claim in the summary carries the query that produced it.
Maya had one question left, the kind she used to escalate: is this EU only, or are US orders failing too? She asked it in the same thread. Six seconds later: EU 41 failed / 3 paid, US 0 failed / 220 paid, APAC 0 failed / 64 paid. EU only.
The suggested reply to the merchant was drafted from those numbers. She sent it.
What changed
The ticket was open for 67 minutes and handled by support alone. Engineering was involved once, for the one thing that needed an engineer: the fix. They got it as a filed issue with the root cause, the rollback target and four pieces of evidence attached, not as an interrupt.
Triagic works with the ticket source you already have: Zendesk, HubSpot, Jira, Slack, or its own hosted forms. See Triagic for support teams.