Automatically diagnose and fix broken automations

Watches your automations for failures, uses AI to diagnose the cause, and fixes or retries them without you stepping in.

How the work actually flows

It branches. Exactly one path is taken; it retries when a step fails.

Pattern: Exclusive Choice (4) · Simple Merge (5)

flowchart TD trig>"automation failure detected"]:::trig s0["pull failure details"]:::task s1["ai diagnoses cause"]:::svc s2["send slack alert"]:::svc trig --> s0 s0 --> s1 gx{"× temporary glitch or real error"}:::gate s1 --> gx p00["rerun failed step"]:::task gx -->|"retry automatically"| p00 p10["apply code patch"]:::task gx -->|"patch underlying error"| p10 jn{"○ before alert"}:::gate p00 --> jn p10 --> jn jn --> s2 out[/"automation self-corrected"/]:::out pay{{"less firefighting for the team"}}:::pay s2 --> out out --> pay s1 -. "retries on failure" .-> s1 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 serviceOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsMessaging & Notifications
Connects
SlackAzure OpenAI

The problem it solves

When an automated process breaks in the middle of the night, nobody notices until something downstream goes wrong, and then you're stuck digging through logs to figure out what happened. Fixing the same kind of glitch over and over eats into time you'd rather spend elsewhere.

Who it fits

Operations teams and automation builders responsible for keeping business-critical workflows running.

How it works

  1. Detects a failure anywhere in your automation system
  2. Pulls the full details of the broken process
  3. AI diagnoses whether it's a temporary glitch or a real error
  4. Retries temporary issues automatically or patches the underlying error
  5. Sends a Slack alert explaining what was fixed or asking for help if it can't be resolved
What you get

Outages that get fixed before anyone notices

Your automations recover from failures on their own, so your workflows keep running without anyone stepping in.

What you get

A self-corrected automation and a Slack notification explaining what went wrong and what was done about it.

What you need

Access to your automation platform's API, an Azure OpenAI 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

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