Name
AI-Driven Role Design: How to Fast-Track Enterprise Role Based Access w/ LLMs
Description

See how PwC 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 a large technology company 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.
David Denson
Session Tag
Artificial Intelligence (AI), Governance Risk and Compliance (GRC), SAP ERP Transformation
Session Type
impact20 Session