Runs many jobs at the same time instead of one by one, then combines the results once everything is finished.
From the manual situation today to what runs on its own.
When you need to process a large batch of documents, orders, or records, running them one at a time is slow, and there is no easy way to know when every item in the batch is actually done. You end up building manual checklists or guessing at when it is safe to move forward.
Operations teams and developers who need to process many items at once and combine the results once every item finishes.
Your batch jobs run at the same time instead of one after another, and everything comes together as soon as the last one finishes.
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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