Ensuring data integrity and quality is an ongoing concern across industries and scientists are in the spotlight more than ever to provide reliable data without compromising on the efficiency in their work. Traditionally, scientists would have to print a method or recipe in their office, go to the lab to execute it, and then return to their office to manually transcribe their results into a stationary laboratory execution system (LES), electronic batch record (EBR), or electronic lab notebook (ELN). This is not only inefficient but also makes adherence to standardized methods and recipes difficult, compromising data quality and integrity for the organization. Poor execution has proven to be costly, error-prone and time-consuming, creating a significant bottleneck and compliance risk for laboratory operations. Delays in the delivery of reliable test results are holding up batch release and increase costly inventory.