In this end-user case study, dive into the practical, measurable transformation that occurs when AI is intentionally integrated into the heart of business processes. Rather than bolting AI onto existing workflows, discover how the re-engineering of selected processes can allow a company to take full advantage of predictive models, intelligent routing, and automated decision-support, resulting in dramatically improved operational excellence.

Key takeaways:

• Find out how to identify processes where AI augmentation can deliver immediate, high-impact improvements
• Learn about design principles for embedding AI into process steps without disrupting continuity or control
• Discover the operational metrics that improved most once AI became part of the workflow (quality, throughput, error rates, customer outcomes)
• Gain insights into lessons learned about governance, transparency, and scaling AI-infused processes across the enterprise 

In this session, discover the next evolution of process mining: systems that not only uncover problems but automatically generate AI-driven fixes, simulations, and automation scripts. Discover how these new capabilities can enable organizations to move from insight to action in minutes, eliminating the traditional lag between diagnosis and improvement.

Key takeaways:

• Find out how generative AI enhances process discovery and optimization.
• Discover how to use AI to test “what-if” scenarios before making real-world changes.
• Automatically generate micro-automations from mined insights
• Learn about other companies which have experienced rapid time-to-value from AI-driven process mining

In this session, discover how to embed AI into everyday decision flows so employees and intelligent systems work side by side. You’ll see emerging design patterns for “AI-augmented roles” and how to build processes that truly leverage both human judgment and machine speed.

Key takeaways:

• See what good human-AI interface design looks like inside processes
• Find out how to incorporate AI-generated recommendations without eroding accountability
• Discover workflow models that integrate generative and predictive AI safely
• Learn how to use AI to provide improved service, accuracy, and employee capability  

Through this case study, learn how to modernise customer journey processes using AI-driven routing, sentiment analysis, and real-time response engines. Find out what it takes to continue delivering human warmth while scaling machine intelligence.

Key takeaways:

• Discover how AI can reshape customer journey process flows
• Find out how to get teams comfortable with algorithmic decision input
• Top tips on how to ensure AI enhances (not replaces) personalization and empathy
• Learn how to identify quantifiable gains in satisfaction, first-contact resolution, and operational speeds