Dampak Implementasi Artificial Intelligence terhadap Efisiensi Waktu Eksekusi Pekerjaan Karyawan (Studi Kasus pada Rasyidi Consulting Group)

Amid the ongoing digital transition, the integration of Artificial Intelligence (AI) into Human Resource Management (HRM) has transformed traditional job analysis models into smart, data-driven analytical systems. This study aims to analyze and quantify the impact of AI implementation on workflow cycle time efficiency and the accuracy of job analysis, based on the mapping of employees' actual routine tasks at Rasyidi Consulting Group. A qualitative approach utilizing a descriptive case study method was employed. Primary data were gathered through in-depth interviews and direct observation of a key informant—the Director of Rasyidi Consulting Group—selected via purposive sampling. The findings indicate that the use of AI successfully eliminates wasted time on clerical tasks; for instance, the time required to prepare management reports was reduced from 2–3 hours (manual process) to just 40 minutes per report, achieving an efficiency gain exceeding 75%. In terms of accuracy, the integration of AI—which automatically aggregates timesheet and progress accounting data—enhances precision, minimizes human error, reduces subjective managerial bias, and prevents task mismatches. This improvement in operational efficiency directly and positively impacts meeting client Service Level Agreement (SLA) commitments through the implementation of "Smart HRM."