Summarize yesterday's Zendesk tickets and post trends to Slack

Each morning, AI reviews the past day's Zendesk tickets and posts a summary of common issues to Slack.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig(["every day at 10am"]):::trigtime s0["pull tickets from last 24 hours"]:::svc s1[("store tickets for ai search")]:::store s2["ai identifies common complaints"]:::task s3["post summary to slack"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"daily slack summary of ticket trends"/]:::out pay{{"spot support issues without reading every ticket"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsKnowledge Base & RAGMessaging & NotificationsReporting & AnalyticsCustomer Support & Ticketing
Connects
ZendeskOpenAIPineconeSlack

The problem it solves

Scrolling through every support ticket to spot patterns takes time you don't have, and by the time you notice a trend, it may already be a bigger problem. You need a fast read on what customers are complaining about without reading each ticket yourself.

Who it fits

Customer support teams and managers who want a daily pulse on recurring issues.

How it works

  1. Every day at 10am, the system pulls tickets created in the last 24 hours from Zendesk
  2. Tickets are stored so AI can search across them
  3. AI reviews the tickets, identifies the main complaints, and counts how often each comes up
  4. A summary is posted to your Slack channel
What you get

Recurring issues surfaced from yesterday's tickets

Every morning your team gets a Slack summary of the most common issues showing up in yesterday's support tickets.

What you get

A daily Slack summary of the most common customer issues from your Zendesk tickets.

What you need

A Zendesk account, an OpenAI API key, a Pinecone account, and a Slack workspace.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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