CUSTOMER SUPPORT
Turn Zendesk Tickets With No Matching Macro into Confluence Drafts
When a Zendesk ticket is solved without any macro applied, this workflow checks whether the same question keeps recurring and, if so, drafts a Confluence knowledge-base page…
How it runs
The automated pipeline, trigger to output.
- TriggerZendesk ticket solvedZendesk
- LogicCheck whether a macro was applied
- ActionSearch recent tickets for the same recurring questionZendesk
- LogicBranch: stop if one-off, continue if recurring
- ActionDraft a knowledge-base page from the threadOpenAI
- OutputCreate draft Confluence page and assign docs ownerConfluence
What it does
This workflow watches for solved Zendesk tickets that closed without an agent applying a macro, which is a reliable signal that no canned answer existed. It checks recent history to confirm the underlying question has shown up repeatedly, then drafts a Confluence page answering it and assigns review to your documentation owner. A counter in the page tracks how many tickets the gap has caused.
When to use it
Reach for this when macros are your team's source of truth and a ticket closing without one means a hole in coverage. It keeps your Confluence space growing in step with the questions customers actually ask, instead of relying on someone to remember to write docs.
How it works
- 1A Zendesk ticket-solved event triggers the run.
- 2Check whether any macro was applied to the ticket.
- 3If none, search recent solved tickets for the same question to confirm it recurs.
- 4Branch: stop if it is a one-off, continue if it recurs.
- 5Use OpenAI to draft a Confluence page from the ticket thread and the public reply.
- 6Create the page as a draft in Confluence and assign the docs owner to review.
Set it up
What you configure once, before turning it on.
- 1Connect ZendeskTickets, queues, knowledge base.
- 2Connect ConfluenceSpaces, pages, blueprints.
- 3Connect OpenAIModels, embeddings, files.
- 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.
