LEVERAGING AI-DRIVEN PLATFORMS FOR ADVANCED IMPACT ANALYSIS AND QA IN SALESFORCE IMPLEMENTATIONS

Abstract

Salesforce, the top cloud-based CRM solution, provides a complete picture of businesses' functions and clients by virtue of its scalability, powerful analytics, and enormous app ecosystem. Yet, it also has some drawbacks like overkill features for smaller teams, demanding developer skill in languages such as Apex, and convoluted integration with third-party technologies. Adoption and maintenance can be difficult due to the learning curve and high license and support fees. In order to resolve these challenges, Salesforce Smart Works 2.0, as part of the Robo project, leverages Salesforce's metadata-driven nature for autodetection of changes, mapping dependencies, and targeted regression testing. This integration controls interdependencies in massive Salesforce deployments, minimizing the drudgery, enhancing testing coverage, accelerating validation cycles, and guaranteeing quality. Smart Works 2.0 integrates functional, integration, performance, security, and regression testing with clever automation tools to provide compliance and auditability in regulated verticals such as healthcare.