When a record changes
The event in one system starts the next step in the other. If it passes, the chain continues.
The next step continues
The process runs as a workflow on the same platform: a trigger, a rule, and the data moving between systems.
The process runs as a workflow: a trigger, a rule, and the data between systems.
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Illustrative example.
The event in one system starts the next step in the other. If it passes, the chain continues.
The next step continues
The routine fetches, validates, and writes. Nobody has to start it.
The routine runs on its own
The outside system calls, and the workflow starts.
The outside call starts it
The rule blocks the step, the workflow takes another path, and it notifies the team.
Another path and a notice
Data transformation stays in this workflow: field mapping and rules between one step and the next. No page of its own.
Data transformation stays in this workflow. No page of its own.
Event, schedule, or webhook. A step can continue in a queue, without blocking the destination.
Condition, transformation, and action. The design is in the low-code builder.
The run, the log, and the adjustment when the result does not check out.
The process, the trigger, and the rule that already applies in the operation.
The workflow on the platform, with a version before activation.
The run, and the adjustment when a system changes.
Fully managed for the workflow, or self-serve with your team
Does the workflow become an application?
Where does data transformation fit?
Who designs the workflow?
A specialist reviews the routine and points to the workflow.