Spoken script
Your interface test returns “success.” Does that prove the business result is correct?
Consider a laboratory result moving from LIMS to ERP. The message arrives, the API returns a successful response, and the destination stores a number.
But what if the source uses milligrams per liter and the destination expects micrograms per liter? What if the number belongs to the wrong sample? What if an earlier status overwrites a later approval? What if a retry creates the same disposition twice?
A successful technical transaction answers only part of the question.
Start with the intended use. If ERP relies on the result to control material issue, test the source information, transformation, destination meaning, and resulting issue decision. Include units, identifiers, approval status, duplicates, delays, and recovery where they matter.
Keep evidence that connects the source transaction to the receiving record. A correlation identifier, a structured comparison, and an observed business action may tell the story better than a screenshot of a green icon alone.
The key question is not only “Did the message arrive?” It is “Did the right information arrive with the right meaning, and did the receiving process act correctly?”
Viewer exercise
List three fields whose wrong meaning could leave a message technically valid. Compare your answer with sample identity, units, and approval status.