Webinar: Upgrading SAP with AI: Inside a Live S/4HANA Transformation

Wednesday, April 8th, 2026 10:00 AM EST

An interview with Oliver Toloui, AI Program Manager for a multi-million-dollar S/4HANA transformation

SAP programs generate vast amounts of delivery knowledge – RICEFW inventories, functional and technical design documents, configuration specifications, test assets, defects, and transport histories. But this knowledge is usually locked away in the phase and tooling silos, with little reuse after a milestone is achieved.

This webinar, part of our new TechX series, discusses how AI can consume, understand, and connect SAP delivery artifacts to a living SDLC knowledge graph. By understanding how requirements translate into configuration, custom code, testing, and production outcomes, AI becomes an orchestration layer across the SAP SDLC – facilitating more informed impact analysis, improved prioritization, and risk-aware delivery decisions.

The emphasis is on leveraging existing SAP delivery knowledge to build decision intelligence that multiplies over time, rather than introducing another layer of documentation.

Why attend?

As SAP environments become increasingly complex and change cycles speed up, conventional SDLC governance models fail to keep up. Leaders need context-aware intelligence, not more documentation and reports.

This webinar demonstrates how AI can act as the orchestration layer across the SAP SDLC, enabling:

• Smarter impact analysis between requirements, code, testing, and production.
• Risk-aware prioritization of changes and transports.
• Faster, more confident delivery decisions grounded in historical evidence.
• Reusing delivery knowledge across programs, not just projects.

The focus is not on disrupting existing SAP processes – but on unlocking the latent intelligence already embedded within them.

Key takeaways

In this session, you will learn how to:

• Interconnect RICEFWs, FDDs, TDDs, test cases, defects, and change logs into an integrated SDLC knowledge graph.
• Use AI to understand how requirements translate into configuration, custom code, tests, and production outcomes.
• Move from document-based governance to evidence-driven decision-making.
• Enhance impact analysis, release planning, and regression prioritization for SAP programs.
• Turn delivery knowledge into a long-term strategic asset that multiplies value.

Meet the panel

Hear from senior SAP and AI leaders who advise global enterprises on turning SAP delivery knowledge into strategic decision intelligence, enabling confident, risk-aware execution across large-scale transformations.