CUSTOMER SUPPORT
CEO-Driven Weekly Knowledge Coverage Audit and Draft Pack
An agent reviews the week's support volume across Intercom and the existing Confluence space, reasons about which themes are under-documented.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule wakes the agent
- ActionPull the week's Intercom conversationsIntercom
- ActionRead existing Confluence pages to map coverageConfluence
- LogicReason about high-volume under-documented themes
- ActionDraft full articles and save to ConfluenceConfluence
- OutputPost prioritized coverage report to leadershipSlack
What it does
This is an agent-driven audit rather than a fixed pipeline. Each week the CEO agent reads support conversations, compares the themes against what already exists in your Confluence knowledge base, and decides where coverage is thin. It then writes complete draft articles for the highest-impact gaps, explains its reasoning, and ships a coverage report with recommendations to leadership.
When to use it
Use it when you want judgment, not just clustering. The agent weighs ticket volume, escalation cost, and existing coverage together to decide what is actually worth documenting, and produces leadership-ready narrative alongside the drafts. Good for teams that want a standing weekly review of their knowledge health.
How it works
- 1A weekly schedule wakes the agent.
- 2The agent pulls the week's Intercom conversations for context.
- 3It reads existing Confluence pages to map current coverage.
- 4It reasons about which themes are high-volume but under-documented.
- 5It drafts full articles for the top gaps and saves them to Confluence as drafts.
- 6It posts a prioritized coverage report and rationale to the leadership Slack channel.
Set it up
What you configure once, before turning it on.
- 1Connect IntercomConversations, contacts, articles.
- 2Connect ConfluenceSpaces, pages, blueprints.
- 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.
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