Businesses should consider various aspects such as the communication model (synchronous vs. asynchronous), edge cases such as failed transactions, security and compliance regulations, data consistency, and data integrity. Additionally, they should set up an all-inclusive quality assurance (QA) configuration that includes sandbox testing with real cards, testing in production, data-driven rollouts, monitoring, and machine learning-based alerting for anomaly detection.