Support triage

The automation works your inbound queue on the cadence you set. It reads each new ticket, classifies it by topic and urgency, tags it in Zendesk, and drafts a reply in the customer's own context. Anything that needs a human decision is routed to the right person in Slack with a one-line summary of why.

You open a queue that is already sorted, the routine replies drafted and the genuine escalations on top.

Scoped access

• Zendesk, read and tag tickets
• Gmail, draft replies only
• Slack, post to one channel

How it fails silently

Triage fails in a way that looks like success. The agent reads a terse message, decides it is spam or a duplicate, closes it, and the run goes green while the ticket count drops. But the closed ticket was a real bug from a paying customer, or an at-risk account dropped into the general queue to sit for three days. The wrong call and the right call leave the same trace, a closed ticket, so the queue looks spotless while it quietly leaks the cases that matter most.

What the overseer catches

On each run, the overseer reads every ticket back against what the agent did with it and asks whether the two actually match. A message describing a clear bug that got closed as spam, or an angry enterprise customer dropped into the general queue, is exactly the mismatch it catches, raising that ticket for you instead of letting it pass as one more cleared item.

The routine tickets are handled without you. Password resets, how-to questions, and clear duplicates get a drafted reply and the right tag, and you never see them unless you go looking.

What reaches you is the judgment: the suspected bug, the account showing churn signals, the refund that sits outside policy. Those land in Slack with the context already gathered, so the only thing left for you is the decision. You stay in the loop on the calls that need a human, and out of the loop on the ones that do not.