Process intelligence is increasingly becoming a core enabler for strategic decision-making and operational agility. With access to a wide array of system and user-level data, organizations are leveraging PI tools to create real-time visibility into how their operations function. This discussion explores how leaders are embedding process intelligence within their transformation roadmaps, improving speed, compliance, and resource allocation. The panel will also discuss how PI is evolving in tandem with AI, automation, and low-code technologies to accelerate results.
Key takeaways:
Gaining an accurate, comprehensive understanding of existing processes is a critical first step toward improvement. AI-powered process mining tools now allow businesses to rapidly visualize workflows, uncover bottlenecks, and detect non-compliant behavior. This session will explore how combining process discovery with machine learning enables faster, more intelligent optimization, creating a foundation for scalable automation and digital transformation. Attendees will gain insight into the capabilities and limitations of AI in mapping complex, multi-system processes.
Key takeaways:
Low-code platforms are transforming the way organizations build and evolve operational processes. When combined with process intelligence, these platforms allow business users to make data-driven changes rapidly and with less reliance on traditional development cycles. This session will demonstrate how low-code tools and PI insights can work in tandem to enable more agile, secure, and scalable business process management. Key strategies for maintaining governance and aligning with compliance requirements will also be explored.
Key takeaways:
As businesses strive to become more agile and responsive, real-time insight into operations is critical. This case study explores how process intelligence has been deployed to monitor workflows dynamically, identify inefficiencies, and trigger corrective actions automatically. By integrating PI into broader operational systems, organizations can detect and resolve delays before they impact service quality or cost. The session will also highlight lessons learned around data access, change management, and stakeholder alignment.
Key takeaways: