Combines two separate data lists into one, matching rows by a common ID so nothing gets duplicated or missed.
It branches. Every path runs; all paths must finish before it continues; runs once per one per row in each list.
Pattern: Parallel Split (2) ยท Synchronisation (3)
When you keep customer or order information in two different places, matching it up by hand is slow and error-prone. You end up with duplicate rows or missing matches that take time to untangle.
Operations or admin staff who regularly combine records from two different lists or systems.
Two separate lists get matched and merged by their shared ID, so your records stay complete and nothing gets counted twice.
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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