Driving Salesforce Testing Excellence with AI and Metadata-Driven Intelligent Automation

Abstract

Salesforce is the most well-known cloud application-based CRM solution, known for its scalability, analytics, and vast application ecosystem that allow companies to better understand their processes and relationships with customers. Despite the benefits, the CRM can be daunting and expensive for smaller teams, requiring a trained resource for upkeep and introducing challenges when integrating and managing other technologies. To overcome these limitations, the Robot Project is integrating Salesforce Smart Works 2.0. Smart Works 2.0 improves dependency mapping, detects changes, and does regression testing through a metadata-driven architecture. The Smart Work integration into Salesforce will streamline these initiatives by creating improved processes and enhancing testing coverage while also ensuring quality in released code for its users in highly regulated businesses (such as healthcare). Smart Works 2.0 also provides a comprehensive testing suite to accomplish these capabilities and ensures easily obtainable advanced automation features. The overall ROI and efficient delivery rates for continued developments in all automated and AI-driven testing and business release changes will include a metadata-centric DevOps pipeline, automated governance, and real-time analytics - connecting both robotic and AI agents in testing and development processes while assisting Autodesk development teams. In combination, the development of low-code or even no-code platforms will allow more business users to be able to maintain and complete intelligent testing initiatives for continuous innovation resources and process work through reduction or avoidance of traditional bottleneck development.