CUSTOMER SUPPORT
Real-time emerging-issue detector from Zendesk tickets
On each new Zendesk ticket, classify it against known themes and raise a Slack alert the moment a single theme spikes above its normal hourly rate.
How it runs
The automated pipeline, trigger to output.
- TriggerNew Zendesk ticket arrivesZendesk
- ActionClassify ticket into a tracked theme (OpenAI)OpenAI
- LogicCompare theme rate to rolling baseline
- LogicBranch on spike threshold exceeded
- OutputAlert on-call channel for spiking themeSlack
What it does
Watches incoming Zendesk tickets in real time and flags when one product-feedback theme suddenly surges. Instead of waiting for a weekly report, it catches an emerging issue, like a broken checkout or a bad release, within minutes by comparing the current theme rate against its recent baseline.
When to use it
Use it as an early-warning system for support-detected incidents: the kind of problem that floods the queue before monitoring catches it. Best for teams that ship frequently and want support signal to reach engineering fast.
How it works
- 1A new Zendesk ticket triggers the run via webhook.
- 2An OpenAI step classifies the ticket into one of your tracked themes (or 'new theme').
- 3A logic step compares the theme's count in the last hour against its rolling baseline.
- 4If the theme exceeds its spike threshold, fire a Slack alert to the on-call channel with the theme, current rate, and links to the triggering tickets.
- 5Otherwise the ticket is recorded silently to keep the baseline current.
Set it up
What you configure once, before turning it on.
- 1Connect ZendeskTickets, queues, knowledge base.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Customer Support workflows
Send a tailored Loom onboarding sequence on Front first-reply
When a new customer's first email lands in Front, this picks the Loom onboarding walkthroughs matching their plan and use case, builds a friendly sequenced reply.
Suggest the right Loom video by classifying Intercom message intent
Reads each new inbound Intercom conversation, classifies what the customer is trying to do, and surfaces the best-matching Loom walkthrough to the agent as an internal note.
Draft personalized fix-live replies for support to review
When a Sentry issue resolves, an agent reads each linked ticket's full thread and drafts a tailored 'your fix is live' reply per requester.
Close the loop with requesters when a Linear bug moves to Done
When a Linear issue created from a support escalation moves to Done after deploy, look up the originating Zendesk tickets and notify each requester that their reported bug is…
Reopen and notify Front conversations when their bug fix deploys
When a deploy resolves a Sentry issue, find the snoozed or closed Front conversations linked to it, reopen them, and send the customer a reply that the fix is now live.
Tell Intercom users their reported bug shipped after a Vercel deploy
On a successful Vercel production deployment, match the release's resolved Sentry issues to Intercom conversations and message each affected user that their reported issue is…
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.