As technology rapidly evolves, it becomes increasingly difficult to differentiate between a worthwhile investment and the next “shiny new toy.” Process mining continues to gain popularity in shared services, with SSON’s recent State of the Industry report showing that 52% of organizations continue to prioritize investment in the tool. So why should organizations consider expanding into PI?
Data collected at SSON’s 2024 Process Mining and BPM Virtual Summit shows that 49% of organizations are already leveraging process mining tools, with another 34% planning to implement them.

Enable strategic automation. As organizations benefit from greater efficiency levels through technological advances, successful automation is critical.
Operational Excellence. To begin working toward operational excellence (OPEX), companies must be able to measure any performance gaps to identify root causes, evaluate optional improvement opportunities, build a business case for improvements, and continually monitor the impact of those improvements.
Improve regulatory compliance. 56% of organizations have made compliance a strategic goal this year, up 42% from last year. Failure to meet regulatory requirements can damage reputation, trigger costly legal issues, and reduce employee morale.
Increase strategic alignment. Strategic alignment “bridges the gap between strategy formulation and execution by ensuring that all elements of an organization are working toward common goals.”

End-to-End Visibility. PI enables end-to-end (E2E) visibility by integrating data from numerous data sources, creating a unified view of the entire process.
AI Data Collection. The volume and complexity of data required for a successful PI project may prevent businesses from leveraging the tool.
“Talking” to your processes. Generative AI is redefining human-tech collaboration as organizations are now able to “talk” to their processes.
Predictive Capabilities. AI’s advanced predictive capabilities are also a powerful addition to the PI platform as they allow for proactive problem solving.
Agentic AI. AI is designed to be an autonomous agent that is able to perform tasks and make decisions without direct human intervention.