CUSTOMER SUPPORT
On-Demand Tag Gap Report with Article Outlines
Triggered manually for a chosen Zendesk tag, gathers all tickets under it, clusters the underlying questions, drafts outline-level article briefs for each gap in Confluence.
How it runs
The automated pipeline, trigger to output.
- TriggerManual run with a Zendesk tag
- ActionFetch all tickets for the tagZendesk
- ActionCluster questions and find undocumented gapsOpenAI
- LogicBuild one article brief per gap cluster
- ActionPublish briefs as Confluence pagesConfluence
- OutputReturn summary digest to requester
What it does
Gives a support lead an instant deep-dive on any single topic area. Point it at one Zendesk tag (for example billing or onboarding) and it returns the distinct unanswered questions hiding under that tag, each with a ready-to-write article brief published to Confluence.
When to use it
Use it ad hoc when a particular area is generating noise and you want a focused content plan for just that area, rather than waiting for a scheduled sweep.
How it works
- 1You trigger the workflow manually and supply a Zendesk tag.
- 2Zendesk returns all tickets carrying that tag within a chosen time window.
- 3OpenAI clusters the underlying questions and identifies which are not yet documented.
- 4For each gap cluster, the agent drafts an article brief (audience, problem, outline, key answers).
- 5Each brief is published as a Confluence page under the help-content space.
- 6A summary digest of all briefs and counts is returned to the requester.
Set it up
What you configure once, before turning it on.
- 1Connect ZendeskTickets, queues, knowledge base.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect ConfluenceSpaces, pages, blueprints.
- 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.
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