AI AGENTS
Daily support-call pain digest to Confluence
At end of day, an agent reads the day's support call transcripts, ranks the most painful recurring issues.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily end-of-day schedule
- ActionPull the day's support transcriptsZoom
- ActionExtract and rank friction pointsOpenAI
- ActionCompose ranked daily digestOpenAI
- OutputPublish dated digest page to ConfluenceConfluence
What it does
At the end of each business day it reads every support call transcript from that day, identifies the friction points customers hit, ranks them by severity and frequency, and publishes a single digest page to Confluence. Leads get a daily readout of where customers are struggling without listening to a single recording.
When to use it
Use it when support call volume is too high to review manually and you want a recurring written record of the day's top pain points to drive triage and roadmap conversations.
How it works
- 1A daily end-of-day schedule triggers the run.
- 2The agent pulls all of the day's support call transcripts.
- 3It extracts friction points and the emotional intensity behind each one.
- 4It ranks issues by a blend of severity and how many calls raised them.
- 5It composes a digest: top issues, representative quotes, and affected account count.
- 6The digest is published as a dated page under the support space in Confluence.
Set it up
What you configure once, before turning it on.
- 1Connect ZoomMeetings, recordings, transcripts.
- 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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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.

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