Managing risk and enhancing operational efficiency go hand in hand. This session will showcase how process intelligence tools are being used to pinpoint process deviations, reduce manual errors, and ensure regulatory compliance across complex workflows. Whether in finance, manufacturing, or logistics, organizations face growing pressure to balance cost reduction with risk control — and PI can serve as a critical tool in achieving both. We will also examine how data governance and quality underpin successful implementations.

Key takeaways:

• Understand how PI helps surface risk-prone or non-compliant activities
• Learn to reduce errors and rework through data-led insight
• Explore strategies for embedding PI into governance frameworks
• Discover how to achieve high-quality, trustworthy data for analysis

To fully capitalize on automation, organizations must understand which processes are fit for it and how to prioritize them. This session explores how process intelligence informs and accelerates hyperautomation strategies by highlighting inefficiencies, manual dependencies, and fragmentation. Attendees will learn how to align process insights with RPA, intelligent document processing, and orchestration platforms to scale automation more effectively. We will also touch on key integration considerations and success metrics.

Key takeaways:

• Understand how to evaluate and prioritize automation opportunities with PI
• Learn to unify PI with AI, RPA, and workflow orchestration tools
• Discover the benefits of creating a feedback loop between automation and insight
• Gain clarity on measuring ROI in hyperautomation initiatives

While system logs offer valuable insight into structured processes, many critical actions still occur at the desktop level. Task mining tools provide visibility into how users interact with applications, revealing hidden inefficiencies, workarounds, and training needs. This session will highlight how task mining complements process intelligence to provide a fuller operational picture, particularly in hybrid or human-in-the-loop environments. Guidance on balancing transparency with employee trust and privacy will also be shared.

Key takeaways:

• Discover how task mining fills the gap between user behavior and system logs
• Learn to identify high-friction or low-value tasks ripe for automation
• Understand the ethical and organizational implications of desktop data collection
• Explore best practices for rolling out task mining initiatives

When process intelligence is deployed at scale, the productivity and efficiency gains can be transformational. This case study explores how end-to-end visibility has enabled significant cost savings, faster turnaround times, and better alignment between operational units. Attendees will hear how combining historical data, predictive analytics, and continuous monitoring has created a cycle of sustained improvement. We will also examine the infrastructure, skills, and governance required to maintain success long term.

Key takeaways:

• Learn to measure and sustain productivity improvements through PI
• Understand the infrastructure and capabilities needed for enterprise-scale rollout
• Discover the benefits of aligning operational KPIs with PI insights
• Explore how to use PI to support business-wide transformation