Analyze support screenshots with AI and log them in Zendesk and Jira

AI reads screenshots attached to support tickets and automatically creates matching records in Zendesk and Jira.

How the work actually flows

It branches. Any that apply are taken; all paths must finish before it continues.

Pattern: Multi-Choice (6) · Synchronisation (3)

flowchart TD trig>"screenshot ticket submitted"]:::trig s0["upload screenshot get link"]:::svc s1["AI reads screenshot"]:::svc s2["notify slack team"]:::svc trig --> s0 s0 --> s1 gx{"○ does issue need engineering"}:::gate s1 --> gx p00["create zendesk ticket"]:::task gx -->|"support ticket"| p00 p10["create jira issue"]:::task gx -->|"engineering issue"| p10 jn{"+ combine ticket links"}:::gate p00 --> jn p10 --> jn jn --> s2 out[/"zendesk ticket and linked jira issue"/]:::out pay{{"faster bug triage across teams"}}:::pay s2 --> 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 itAn outside serviceAny that applyWaits for allResultPayoff
Build size
Advanced

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

Business functions
Knowledge Base & RAGMessaging & NotificationsImage & Media ProcessingSpreadsheet & Database OpsAPI & Webhook IntegrationProject & Task ManagementFile & Cloud StorageCustomer Support & Ticketing
Connects
ZendeskJiraSlackOpenAI

The problem it solves

When a customer sends a screenshot of a bug or error, someone has to open it, figure out what's wrong, and manually create or update tickets in Zendesk and Jira. That back-and-forth slows down response time and makes it easy for details to get lost between systems.

Who it fits

Support and engineering teams who handle bug reports and error screenshots from customers.

How it works

  1. A new support request with a screenshot comes in through a webhook
  2. The screenshot is uploaded and given a shareable link
  3. AI reads the image and identifies what the issue is
  4. A ticket is created or updated in Zendesk, and a matching issue is logged in Jira if it needs engineering work
  5. Your team gets a Slack notification with a summary and links to both records
What you get

Screenshots turned into tickets you can act on right away

You get support tickets and engineering issues created automatically from customer screenshots, with a Slack summary linking straight to both records.

What you get

A Zendesk ticket and, when needed, a linked Jira issue, both pre-filled with the AI's read of the screenshot.

What you need

A Zendesk account, a Jira 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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