CUSTOMER SUPPORT

CEO Agent: Mine Last Month's Tickets and Publish a Deflection Plan

Monthly, an agent investigates the top recurring Zendesk ticket themes, drafts and publishes the highest-confidence help articles to ReadMe.

CategoryCustomer Support
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonthly schedule starts the agent
  • ActionAnalyze and rank ticket themes from ZendeskZendeskZendesk
  • LogicJudge coverage and confidence per theme
  • ActionPublish high-confidence articles to ReadMeReadMeReadMe
  • ActionLeave low-confidence gaps as ReadMe draftsReadMeReadMe
  • OutputPost deflection summary to SlackSlack

What it does

Runs a monthly end-to-end deflection cycle as an autonomous agent. It investigates which ticket themes drove the most avoidable volume, decides which gaps are safe to document automatically, drafts and publishes those articles to ReadMe, and reports the full plan, including the calls it left for a human, to Slack.

When to use it

Use this when you want more than a list of suggestions, you want a standing operator that actually closes documentation gaps each month and is transparent about its decisions. Best for teams comfortable letting an agent publish low-risk articles while escalating ambiguous ones.

How it works

  1. 1A monthly schedule starts the agent.
  2. 2The agent pulls and analyzes the past month's Zendesk tickets to rank recurring themes by avoidable volume.
  3. 3For each top theme it checks ReadMe for existing coverage and judges its own confidence.
  4. 4High-confidence gaps: the agent writes and publishes a ReadMe article directly.
  5. 5Low-confidence or sensitive gaps: it leaves them as ReadMe drafts.
  6. 6It posts a Slack summary listing published articles, drafts awaiting review, and themes it chose to skip with reasons.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZendeskTickets, queues, knowledge base.
  2. 2
    Connect ReadMeAPI docs, changelog, auth.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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