Alert your team the moment a support ticket turns negative

Watches support conversations for sentiment, then notifies Slack automatically so your team catches unhappy customers before they escalate.

How the work actually flows

It branches. Exactly one path is taken; runs once per each support ticket.

Pattern: Exclusive Choice (4) · Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(["on a schedule"]):::trigtime s0["pull recently updated tickets"]:::svc s1[["AI scores ticket sentiment"]]:::mi s2[("log sentiment in tracking sheet")]:::store trig --> s0 s0 -->|"one per each support ticket"| s1 s1 --> s2 gx{"× did sentiment turn negative"}:::gate s2 --> gx p00["send Slack alert"]:::task gx -->|"turned negative"| p00 p10["no action taken"]:::task gx -->|"no change"| p10 p00 --> out p10 --> out out[/"sentiment log and instant alerts"/]:::out pay{{"catch unhappy customers before escalation"}}:::pay 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 itAn outside serviceRuns once per itemA record or sheetOne path onlyResultPayoff
Build size
Advanced

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

Business functions
Messaging & NotificationsSpreadsheet & Database OpsSurvey & Feedback
Connects
LinearAirtableSlackOpenAI

The problem it solves

You can't read every support conversation as it happens, so a customer's frustration can build for hours before anyone notices. By the time someone checks in, the relationship may already feel damaged, and your team is left doing damage control instead of prevention.

Who it fits

Customer support or success teams juggling more open tickets than they can personally monitor.

How it works

  1. On a schedule, the system pulls recently updated support tickets
  2. AI reads each conversation thread and scores its overall sentiment
  3. Sentiment history is logged in a tracking sheet alongside the ticket details
  4. When a ticket's mood shifts from fine to negative, a Slack alert goes to the team
What you get

Unhappy customers you catch early

Your team gets an instant Slack alert the moment a support conversation turns negative, so nobody unhappy slips through unnoticed.

What you get

A running sentiment log for every ticket plus an instant Slack alert when a conversation turns sour.

What you need

A Linear account, an Airtable account, a Slack workspace, and an OpenAI API key.

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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