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.
How it runs
The automated pipeline, trigger to output.
- TriggerMonthly schedule starts the agent
- ActionAnalyze and rank ticket themes from ZendeskZendesk
- LogicJudge coverage and confidence per theme
- ActionPublish high-confidence articles to ReadMeReadMe
- ActionLeave low-confidence gaps as ReadMe draftsReadMe
- 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
- 1A monthly schedule starts the agent.
- 2The agent pulls and analyzes the past month's Zendesk tickets to rank recurring themes by avoidable volume.
- 3For each top theme it checks ReadMe for existing coverage and judges its own confidence.
- 4High-confidence gaps: the agent writes and publishes a ReadMe article directly.
- 5Low-confidence or sensitive gaps: it leaves them as ReadMe drafts.
- 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.
- 1Connect ZendeskTickets, queues, knowledge base.
- 2Connect ReadMeAPI docs, changelog, auth.
- 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.
More Customer Support workflows
Flag Live Intercom Chats With No Help Article and Alert Slack
When an Intercom conversation closes, checks whether the customer's question is already covered by a help article.
Negative VIP CSAT to Owner Callback Scheduler
When a VIP submits a low Intercom CSAT rating, drafts a recovery note with an LLM and books a callback on the account owner's Google Calendar within their working hours.
Mine a Discord Support Channel for Recurring Questions to Document
On a daily schedule, scans a Discord support channel for questions the community keeps asking, deduplicates against existing ReadMe docs.
Daily VIP Sentiment Digest for Account Owners
Each morning, pulls the prior day's Intercom conversations for VIP accounts, summarizes the overall mood per account with an LLM.
VIP Reply Sentiment Watcher with Account-Owner Escalation
Scores every inbound Intercom reply from a VIP customer for frustration and, when it crosses the anger threshold, pings the account owner in Slack with the conversation link…
Frustrated VIP Reply to Linear Escalation Ticket
When a VIP customer's Intercom reply reads as angry, opens a prioritized Linear issue with the conversation transcript, sentiment score, and account owner assigned.
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.
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