Advancing Human Resource Efficiency Through SAP SuccessFactors and Al-Enabled Cloud Workflow
Year: 2025
Type: article
Abstract: ABSTRACT: Quantitative HR management has transformed rapidly in recent years due to major technological advancements that combined SAP SuccessFactors and Artificial Intelligence (AI) technologies under cloud-based solutions. A research study analyzes the combined effect of these technologies on optimizing HR department performance throughout recruitment stages, onboarding procedures, and performance evaluation processes. A combination of research methods was used to gather data from surveys and interviews and detailed studies of organizations and HR professionals with applicable tools. HR metrics from research data showed a substantial improvement through increased speed in hiring candidates and shorter duration of onboarding activities accompanied by higher rates of employee self-service use. Quality-based insights revealed that employees experienced better practices and decision analytics, which led to strategic value development in human resource departments. Integrating SAP SuccessFactors with AI-driven cloud workflows allows organizations to execute automated process tasks while deriving meaningful analytical findings to escalate their HR operations. Throughout the evaluation, the research introduces key obstacles that stem from excessive implementation expenses, challenging system connectivity requirements, and problems regarding data security and algorithm explanation transparency. The study expands human resources technology research by filling the knowledge gap in analyzing both systems. Organization leaders and HR professionals should utilize the research findings to implement operational improvements using digital solutions. The researcher recommends assessing long-term effects, implementing ethical rules for AI governance, and adopting strategies for small and medium enterprise use.
Authors: SAP Consultant, United States, Balakrishna Teja Pillutla
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409599182