I love sharing this one, I had a job that dealt with ingesting a large variety of data from different data producers, and data pipeline team had used jira or orchestrate the ingestion pipeline.

Create a ticket, add a label, attach a file, and update the ticket to "ready for processing stage 1". The ingestion pipeline would see the pending work, move it into an "processing stage 1 phase", loading it into a dedicated table. And then another system would move it to "processing stage 2" where it got processed into a second table. Then a manual hold stage, for the ingestion team to sign off on. Then another system would do a "merge" stage to bring it into the main database. The pipeline would be leaving comments with stats of its runs in the comments & updating fields on the tickets as it worked.

It was so cool & such radical visibility having core processes for the org run through jira. Both man and machine, collaborating to move data along. I've never seen a better more natural workflow engine than this homebrew system. Pipeline team had built something really cool, by basing their operation around jira & custom workflows.