Two people open the same request. Person A edits the amount. Person B edits the comment and saves later. Without optimistic locking, B can overwrite A’s change with an older snapshot.
The application may report success while silently losing valid work. That is worse than an explicit conflict because nobody knows a decision was replaced.
A practical approach stores a version or row timestamp and sends it with the update. The server accepts the write only if the version is still current. Otherwise, the user receives a conflict message and can compare before deciding what to keep.
This is especially important for Dataverse-backed Code Apps where several screens, flows, and users can touch the same record.
Concurrency is not an edge case when a process is shared. It is the normal case waiting to happen.
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