See how PwC and Lam Research used LLMs in their SAP S/4 HANA implementation to automate enterprise role design, reduce manual mapping by weeks, improve accuracy, and drive compliance. Get AI-driven best practices, key insights, and strategies to speed up ERP role-based access and scale effectively.

In this session, you will:

• Reframe enterprise role design as a data-led governance problem: Learn how Lam Research and PwC turned raw process and requirement data into “decision-grade” role intelligence by structuring 70,000+ process items into a governed L1 to L5 BPML foundation.

• Use LLMs to shift workshops from discovery to validation: See how evidence-linked, confidence-scored recommendations produced workshop-ready role proposals, moving stakeholder time from “what do we do?” to “is this right?” and compressing cycle time from weeks to days.

• Scale role mapping across SAP and non-SAP with traceability: Understand a practical approach to map activities to entitlements across a heterogeneous landscape (SAP plus non-SAP) while keeping every recommendation traceable back to a source activity or requirement.

• Strengthen governance, risk, and compliance in access management: Discover how AI-driven insights supported more consistent role definitions, improved segregation-of-duties considerations, and enhanced visibility across the access model.