Organize and deploy your automations across dev and production

Exports your automations with clean, readable names and pushes them to the right environment automatically.

How the work actually flows

It branches. Exactly one path is taken; runs once per each automation workflow.

Pattern: Exclusive Choice (4) · Simple Merge (5) · Multiple Instances with a priori Run-Time Knowledge (14)

flowchart TD trig(("user runs export")):::human s0[["pull each automation"]]:::mi s1["save with readable name"]:::task s2["sort by environment tag"]:::task s3["prepare for deployment pipeline"]:::task trig --> s0 s0 --> s1 s1 --> s2 gx{"× dev or production tag"}:::gate s2 --> gx p00["save to dev folder"]:::task gx -->|"development tag"| p00 p10["save to production folder"]:::task gx -->|"production tag"| p10 jn{"○ ready for pipeline"}:::gate p00 --> jn p10 --> jn jn --> s3 out[/"version controlled automation files by environment"/]:::out pay{{"safe reliable deploys to production"}}:::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
A stepRuns once per itemA personOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
CRM & Sales PipelineDocument Processing & OCRDevOps & IT Operations
Connects
GitHub

The problem it solves

Your automations get exported with cryptic auto-generated file names, making it hard to tell what changed or track history in version control. Moving something from testing into live use is a manual process that's easy to get wrong.

Who it fits

Operations or engineering teams managing automations across test and production systems.

How it works

  1. Starts when you run the export
  2. Pulls every automation and saves it as a readable, named file
  3. Sorts automations into development or production folders based on their tags
  4. Prepares the files for your deployment pipeline to pick up and commit
What you get

Automations named and sorted for deployment

You get every automation exported with clean, readable names and sorted into the right folder for deployment.

What you get

A tidy, version-controlled set of automation files organized by environment.

What you need

An automation platform account and a GitHub 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

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