Transformation trends 2026: Turning AI-native strategy into enterprise reality
Unpack the trends expected to shape process excellence and enterprise architecture next year
As AI-native platforms reshape how enterprises operate, organizations must move beyond one-off initiatives toward adaptive systems that connect strategy, architecture, process, and people
RegisterIn 2026, transformation will no longer be a project, it will be a continuous capability. As artificial intelligence (AI) native platforms reshape how enterprises operate, organizations must move beyond one-off initiatives toward adaptive systems that connect strategy, architecture, process, and people.
In this webinar, we unpack the trends expected to shape process excellence and enterprise architecture next year. We will also explore how to operationalize AI responsibly, balancing speed, trust, and control.
What attendees will learn:
- How AI-native systems redefine speed, governance, and transformation success.
- Why continuous improvement is replacing project-based change.
- How architecture, process, and adoption converge to build resilience and agility.
- What trends in sovereignty, trust, and operational cost mean for leaders.
speaker
Mathew Love
Product marketing manager
SAP LeanIX
Matthew Love is product marketing expert at SAP LeanIX, based out of the Netherlands. With over a decade of experience in connecting innovative technology to business value, he plays a key role in shaping the go-to-market strategy and positioning for SAP's business transformation solutions, thriving at the intersection of product, marketing, and customer success. When not delivering world-class business solutions, he enjoys football, running, hiking, and traveling.
Lukas N.P. Egger
VP of product strategy and innovation
SAP Signavio
Lukas N.P. Egger is the VP of product strategy and innovation at SAP Signavio. He leads AI-powered proof-of-concepts with customers and drives strategies that bring the right ideas to market. As host of the Process Transformers podcast, he helps separate signal from noise and shows companies how to think about AI in ways that are practical, inspiring, and transformative.
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