Turn support tickets into a prioritized bug report

Groups similar support tickets, finds root causes, and sends engineering a ranked bug report.

How the work actually flows

It branches. Every path runs.

Pattern: Parallel Split (2)

flowchart TD trig(["daily schedule runs"]):::trigtime s0[("pull recent tickets")]:::store s1["group tickets by root cause"]:::svc s2["score severity and impact"]:::task trig --> s0 s0 --> s1 s1 --> s2 gx{"+ notify team and log issues"}:::gate s2 --> gx p00["post ranked report"]:::task gx -->|"send to slack"| p00 p10["create issue per bug"]:::task gx -->|"create jira issues"| p10 p00 --> out p10 --> out out[/"ranked bug report delivered"/]:::out pay{{"engineering prioritizes fixes faster"}}:::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 stepAn outside serviceA record or sheetEvery pathResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsKnowledge Base & RAGEmail AutomationMessaging & NotificationsSpreadsheet & Database OpsReporting & AnalyticsProject & Task ManagementCustomer Support & Ticketing
Connects
OpenAIPostgresSlackJira

The problem it solves

Support tickets pile up faster than anyone can read them closely, and the same underlying bugs get reported over and over in different words. Without a way to group and rank them, engineering ends up guessing what to fix first.

Who it fits

Product and engineering teams that need to prioritize bugs from a high volume of support tickets.

How it works

  1. The automation runs on a schedule, like daily
  2. It pulls recent support tickets from your database
  3. AI groups similar tickets together and identifies the root cause of each cluster
  4. Each issue is scored by severity, frequency, and business impact
  5. A ranked report is sent to Slack, with issues optionally created in Jira
What you get

Bug priorities engineering can act on

You get support tickets grouped by root cause and ranked by severity, delivered to engineering as one clear report.

What you get

A ranked engineering report of recurring bugs and feature requests, delivered to Slack, with matching Jira issues.

What you need

A Postgres database, an OpenAI API key, a Slack account, and optionally Jira.

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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