What is RPA? Rule-based software actions still need business verification
Explain RPA versus model interpretation, checking UI targeting, input rules and duplicate submissions.
Understand the concept
RPA executes repetitive rule-based steps such as transferring spreadsheet fields into applications. It need not use LLMs or imply human judgment. APIs and desktop actions can combine. Define inputs and verify outcomes; completed clicks do not prove correctly saved records.
Rules can execute actions without generated answers
Power Automate supports workstation automation and connected cloud actions. AI can interpret unstructured inputs but is unnecessary for every step. Fixed transfers suit explicit mappings. Layouts, windows and dialogs can break recorded interactions. Separate parsing from writing so UI failures do not trigger irrelevant recognition changes.
Use test records to verify actual persistence
Transfer a public test record into an authorized test app, verify fields and persistence and leave missing-input cases pending. Check target state before timeout retries and inspect exports. No business account or flow was operated here. Define human decision points rather than allowing arbitrary page text to expand the task.
Maintain interfaces and exception recovery
Replay normal and failure cases after app changes and preserve targeting and recovery settings. Include environments and exception handling. Prefer suitable APIs and use desktop steps for gaps, assessing each action. Report completed and pending inputs; green partial steps are not whole-task completion. RPA reduces repetition without replacing data and authorization judgment.
Checked sources
These sources support the concepts and methods described here. Examples and test scope are labeled separately; check the version of the tools you use.