Watches your GitHub repository and automatically deploys any pushed automation changes to your production system.
A straight line. Runs once per each updated automation file.
Pattern: Sequence (1) ยท Multiple Instances without Synchronization (12)
Your team maintains custom automations that live in a code repository, but getting approved changes into production means someone has to manually export, upload, and re-import them. That manual step is slow and easy to get wrong.
An operations or IT team maintaining custom internal automations across multiple environments.
You get your automation changes deployed to production automatically whenever you push them to GitHub.
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.
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