Analyze support tickets automatically and surface trends

Reads incoming support tickets with AI, tracks patterns over time, and logs everything in a Google Sheets dashboard.

How the work actually flows

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

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

flowchart TD trig(["scheduled ticket check"]):::trigtime s0["gather new tickets"]:::task s1[["AI categorizes each ticket"]]:::mi s2[("log results to sheet")]:::store trig --> s0 s0 -->|"one per one per support ticket"| s1 s1 --> s2 gx{"× is a spike detected"}:::gate s2 --> gx p00["send Slack alert"]:::task gx -->|"pattern found"| p00 p10["no alert sent"]:::task gx -->|"no pattern"| p10 p00 --> out p10 --> out out[/"categorized ticket dashboard"/]:::out pay{{"catches trends 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 itA stepRuns 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 OpsReporting & AnalyticsWeb Scraping & Data CollectionAPI & Webhook IntegrationCustomer Support & Ticketing
Connects
Google SheetsSlack

The problem it solves

Reading through every support ticket to spot a pattern, like a bug everyone's suddenly reporting, takes more time than your team has between actual replies. Trends get missed until customers are frustrated enough to escalate.

Who it fits

Customer support managers and teams who want to catch trends in tickets without reading every one manually.

How it works

  1. On a set schedule, the workflow gathers new support tickets and feedback
  2. AI reads and categorizes each ticket by type and priority
  3. The results are logged in a Google Sheets dashboard
  4. If a pattern or spike stands out, a Slack alert notifies your team
What you get

Ticket patterns you'd otherwise miss

You get a running dashboard of ticket categories and priorities, with an alert when something unusual spikes.

What you get

A Google Sheets dashboard of categorized support tickets, plus a Slack alert when something needs attention.

What you need

A Google Sheets 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

Related automations

Pull key data out of PDF reports and invoices automatically

Reads incoming PDFs, pulls out names, dates, and financial details, then files or flags them for you.

Advanced

Track competitor prices automatically and get alerted to changes

Checks competitor product prices on a schedule, logs every change in Google Sheets, and pings Slack when a price shifts.

Advanced

Score and route sales leads automatically into HubSpot

Scores new leads with AI, enriches them with company data, and routes the best ones straight into HubSpot.

Advanced

Scrape GitHub profiles into a detailed Google Sheets report

Pulls detailed GitHub profile data for a list of candidates and organizes it into a clean report in Google Sheets.

Advanced
Back to the AI Playbook