From RICEFWs to Real Insight: How AI Creates a Living SDLC Knowledge Graph in SAP  

March 05, 17:00 PM
Thursday, March 5, 2026; 5 PM BST

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 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.

Register Now

Vikul Gupta
Chief Technology Officer, Qualitest Vikul
Kenny Small
Global Head of Enterprise, Qualitest Kenny
Oliver Toloui
Director – Enterprise Delivery, Qualitest Oliver

About Qualitest

Qualitest
Qualitest is the world’s leading provider of AI-driven quality engineering solutions, delivering enterprise customers end-to-end quality management services across the business and technology life cycle. Qualitest sets itself apart by ‘designing quality’ rather than merely testing for it, deploying engagement models tailored to the precise quality engineering needs of technology platforms across the financial services, health services, telecoms, technology, retail, media, gaming, and utilities sectors. The company operates in the US, UK, India, Romania, Israel, Argentina, Mexico, Switzerland, and Portugal.

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