Feature-Based Machining, FBM is an engineering tool that aims to expedite and optimize machining processes for CAM machinists while ensuring standardization throughout. The purpose of this study was to examine the maturity of FBM as a tool for companies like GKN and determine its readiness for large-scale implementation. Additionally, the investigation aimed to assess the software’s effectiveness across various types of geometries and whether it could meet the required performance criteria.This study aimed to explore the potential of Feature-Based Machining and assess its suitability within GKN's operational framework. A primary focus was to evaluate the readiness of FBM for widespread adoption and its compatibility with various intricate details. By delving into these aspects, the study aimed to determine the applicability and viability of FBM within GKN's operational context. Ultimately, the goal was to determine whether FBM could deliver the desired outcomes and function effectively within the specific manufacturing context of GKN.Through thorough analysis and tests, the study aimed to provide insights into the capabilities and limitations of FBM. By scrutinizing its performance, reliability, and adaptability, the research sought to ascertain the tool's feasibility as a reliable solution for enhancing machining efficiency. By addressing these critical questions, the study aimed to offer valuable recommendations regarding the potential implementation of FBM within GKN's operations and its broader adoption in the manufacturing industry.