Automating Software Asset Workflows to Improve Efficiency and Governance in Energy Digitalization

The paper presents a data-driven framework that automates software asset management workflows to enhance efficiency, transparency, and governance in the energy sector’s digital transformation. Traditional licensing and utilization processes for engineering and geoscience software remain manual and fragmented, leading to inefficiencies, compliance risks, and wasted resources. The proposed solution integrates telemetry data, real-time license usage analytics, and rule-based automation to optimize software allocation and usage reallocation.

Drawing from digital workflow automation principles, the system applies analytics-driven policies to streamline license management, reducing administrative effort and improving responsiveness. Field implementations within energy organizations demonstrated significant gains—a 25% increase in license utilization efficiency and a 40% reduction in helpdesk requests related to access issues. Additional applications in cloud-hosted environments further reduced unnecessary costs through predictive scaling based on usage thresholds.

The study concludes that workflow automation in software asset management transforms resource governance from reactive to proactive, aligning with broader digitalization goals in the energy industry. By integrating telemetry, analytics, and automation, organizations can achieve measurable improvements in efficiency, compliance, and reproducibility while fostering sustainable digital resource governance.