Autoverification (AV) of test results in laboratory forms most important transformative step in enhancing efficiency, accuracy, workflow of the laboratory. Autoverification plays a critical role by providing framework for adapting emerging technologies like artificial intelligence, machine learning. The key milestones in this journey included development of customisable rule based systems, integration with LIS and alignment with quality standards for patient safety. Creating and validating these rules are most demanding steps for setting up an Autoverification system. This article traces journey of Autoverification from its inception to its current integration in daily operations in division of clinical biochemistry to enhance the reliability, efficiency of laboratory services, ultimately contributing to better patient outcomes.