Route and prioritize support tickets with SLA deadlines

Sorts incoming support tickets by urgency, sets a response deadline, alerts your team in Slack, and confirms with the customer.

How the work actually flows

It branches. Every path runs.

Pattern: Transient Trigger (23) · Parallel Split (2) · Exclusive Choice (4)

flowchart TD trig>"new support ticket arrives"]:::trig s0["check ticket completeness"]:::task s1["screen for duplicates"]:::task s2["categorize by urgency"]:::task s3["set response deadline"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 gx{"+ notify appropriately"}:::gate s3 --> gx p00["send Slack alert"]:::task gx -->|"team alert"| p00 p10["send confirmation email"]:::task gx -->|"customer confirmation"| p10 p00 --> out p10 --> out out[/"prioritized ticket with deadline set"/]:::out pay{{"consistent SLA compliance"}}:::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 stepEvery pathResultPayoff
Build size
Advanced

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

Business functions
Email AutomationMessaging & NotificationsAPI & Webhook IntegrationCustomer Support & Ticketing
Connects
SlackGmail
Featured in

The problem it solves

New support requests come in from everywhere and it's hard to tell which ones are urgent until it's too late. You end up missing response deadlines, handling duplicate tickets twice, and customers are left wondering if anyone saw their message.

Who it fits

A support team, SaaS company, or service business that needs to triage tickets consistently and hit response deadlines.

How it works

  1. A new support ticket arrives through your intake form or system
  2. The system checks it's complete and screens for duplicates from the same customer
  3. It reads the message and categorizes it by type and urgency
  4. It sets a response deadline based on that priority
  5. Your team gets a Slack alert and the customer gets a confirmation email with the ticket number
What you get

Tickets sitting in the right queue with a deadline attached

You get every support ticket automatically sorted by urgency, assigned a deadline, and routed to your team with the customer notified.

What you get

A logged, prioritized ticket with a set deadline, a Slack alert to your team, and a confirmation email to the customer.

What you need

A ticketing system with an API, a Slack workspace, and a Gmail account.

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

Turn support emails into Trello tickets with auto replies

When a customer emails support, the automation creates a Trello ticket, replies instantly, and alerts your team on Slack.

Standard

Flag VIP support tickets and alert your team instantly on Slack

Spots VIP customers in new support tickets, summarizes the issue with AI, and alerts an available agent on Slack right away.

Advanced

Automatically sort support emails into categories in Notion

AI reads incoming support emails, sorts them by type, and logs each one to Notion automatically.

Standard

Sort and prioritize support emails automatically with AI

The system reads incoming support emails, classifies and prioritizes them with AI, and alerts your team in Slack.

Advanced
Back to the AI Playbook