AI at Scale in SAP Environments: The Leadership Decisions Behind Trust, Risk and Value
AI pilots are demonstrating significant potential, but scaling them across complex SAP environments remains a major leadership challenge. An effective model is only part of the equation. Organisations also need accurate and accessible SAP data, clear governance, accountable ownership and dependable business processes.
Data is often distributed across SAP and non-SAP applications, legacy systems and organisational silos. Poor data quality, process complexity and fragmented ownership can make it difficult to trust AI-driven outcomes or deploy them consistently across the enterprise.
Research from the 2026 State of Data Integrity & AI Readiness Report shows that 71% of organisations with formal data governance supporting their AI initiatives report high trust in their data, compared with 50% of those without.
This private virtual roundtable will explore the leadership decisions required to close that gap and establish trusted foundations for AI across SAP environments.
Participants should leave with:
- A clearer understanding of the barriers separating SAP-based AI pilots from enterprise deployment.
- Practical approaches to strengthening the quality and governance of SAP data.
- Peer perspectives on managing legacy complexity and S/4HANA transformation.
- Insight into aligning SAP data, processes and automation for AI readiness.
- Actionable ideas for balancing innovation, accountability, risk and business value.
Good news: This is a virtual event that can be attended from the comfort of your office/home, eliminating the need to travel. By choosing to attend this virtual event, you are contributing to a more sustainable future while still benefiting from valuable industry insights.