To overcome limitations of traditional SQL in analyzing complex relationships, we explored advanced graph technologies offering scalable solutions for enterprise needs. The focus was on automating detection of workflow inefficiencies and dynamically reallocating resources to optimize performance. By leveraging graph databases and intelligent algorithms, we aimed to visualize hidden patterns, improve bottleneck identification, and enable real-time operational adjustments for sustained efficiency and resource optimization across interconnected business processes.