Artificial intelligence can only deliver value in process excellence when it is built on a solid, trustworthy data foundation. Explore why data infrastructure, not algorithms, is often the biggest differentiator between AI fails and AI that scales. Industry leaders will discuss the realities of fragmented process data, legacy systems, and data governance, and how organizations can create the conditions for AI to improve outcomes.

• Why data quality, accessibility, and integration matter.
• Common data infrastructure gaps that derail AI initiatives.
• The role of process data, operational data, and unstructured data.
• Practical steps process leaders can take to prepare their data landscape.

Rahul Chawla

Lead BI Datawarehouse Engineer
Google

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Michael Hill

Editor
PEX Network

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As AI becomes more ubiquitous, process excellence teams are being forced to rethink how processes are designed, governed, and improved. Learn how traditional process happenings, including standardization, handoffs, exception handling, and continuous improvement cycles, change when AI is part of everyday operational workflows. Among the questions posed: What does it really mean to design “AI-ready” processes inside large organizations? How can PEX leaders stay in control as automation becomes more adaptive and autonomous?

• How AI embedded in enterprise systems reshapes process design principles.
• What “AI-ready” really means for standardized vs. adaptive processes.
• New roles for PEX teams as AI handles decisions, exceptions, and recommendations.
• Where human judgment must remain central in AI-enabled operational workflows.

• How AI ends up amplifying process problems.
• The difference between performance reporting and true process intelligence.
• How visibility into variation, rework, and exceptions changes AI use cases.

Discover how Maersk developed a solution where truck drivers can simply click a button in a WhatsApp form upon reaching a destination. This records the time and location (via GPS) automatically. The captured data is sent to an AI engine, which updates internal systems and algorithms, which provides real-time visibility of cargo locations to customers. This is especially useful since many trucking vendors vary in technological maturity, but most have WhatsApp access.

• Get your questions answered by those who are executing on this AI initiative at Maersk.
• Understand the ROI you could be getting from a similar AI use case.
• Learn how to get people at different stages of technological maturity on the same page.

As AI becomes embedded in process improvement and operational decision-making, the question is no longer whether data exists, but whether it can be trusted, governed, and acted upon. Data management can enable confident AI use in process excellence initiatives. Discuss why poor data governance undermines AI outcomes and how PEX, IT, and data teams must collaborate to turn data into a reliable foundation for intelligent processes.

Join us to learn:

• Why AI in PEX breaks down when data ownership and accountability are unclear.
• The role of governance in trustworthy AI outcomes.
• How to balance speed and control when operationalizing AI in processes.

• Why isolated AI use cases rarely translate into business transformation.
• The role of orchestration in connecting AI, processes, and people.
• How PEX teams can prioritize AI initiatives around outcomes as opposed to technology.
• What governance and operating models are needed to support AI-driven transformation.

Attendees will learn how intelligent orchestration enables dynamic, adaptive processes that respond in real time to changing conditions, customer demand, and risk. We’ll discuss how orchestration helps manage complexity across multiple AI use cases, governs decision-making, and ensures accountability while maintaining speed and flexibility.

Gain insight:

• How to scale AI beyond pilots using intelligent orchestration.
• Ways to manage multiple AI use cases without added complexity.
• Governance models that define ownership and accountability.
• Adoption strategies that preserve trust and transparency.
• Metrics and KPIs that demonstrate ROI at scale.

• Which PEX principles still hold and which need to be rethought in the age of AI.
• Why AI exposes organizational weaknesses more often than it solves them.
• The changing role of PEX leaders as work becomes more adaptive and less predictable.
• What “good” process excellence looks like when AI is part of everyday operations.

As AI systems increasingly learn, adapt, and optimize on their own, where does process excellence fit? This interactive roundtable, during which audience members can turn on their cameras and microphones, explores how the role of PEX evolves when systems improve themselves. Together, we’ll consider the future of process excellence when the technology can focus on continuous improvement on its own.