Investigate system incidents automatically with AI

Gathers logs and recent changes when something breaks, then posts an AI root-cause report to Slack.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"incident alert received"]:::trig s0[("pull logs and system data")]:::store s1["group similar errors"]:::svc s2["match failures to recent changes"]:::svc s3["post incident report to Slack"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"incident report with likely causes"/]:::out pay{{"faster incident response"}}:::pay s3 --> 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 itA stepAn outside serviceA record or sheetResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsKnowledge Base & RAGMessaging & NotificationsDevOps & IT Operations
Connects
OpenAISlack

The problem it solves

When something goes down, your team scrambles to piece together what changed, what the logs say, and what might be the cause. That early investigation eats up time you need to actually fix the problem.

Who it fits

Engineering and IT operations teams who need to respond to incidents faster.

How it works

  1. An incident alert comes in
  2. The system pulls recent application logs, system metrics, deployments, and configuration changes
  3. AI groups similar errors together to find the dominant failure pattern
  4. AI matches the failures against recent changes to find likely causes
  5. A detailed incident report is posted to Slack with a confidence score and suggested fixes
What you get

Incidents diagnosed before they escalate

You get a root-cause report the moment something breaks, so your engineers can jump straight to fixing the actual problem instead of digging through logs.

What you get

A structured incident report in Slack with likely root causes and recommended next steps.

What you need

An OpenAI API key, a Slack workspace, and access to your logging and deployment systems.

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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