Why Agentic AI Success Starts with People, Process, and Governance - Not the Platform

Why Agentic AI Success Starts with People, Process, and Governance - Not the Platform

In this exclusive interview case study, Dorota Zablocka, Head of GBS EMEA, Randstad Enterprise, shares lessons from more than two years of exploring and scaling agentic AI – from confronting fragmented data and processes to building the governance, workforce capabilities and operating foundations needed for sustainable adoption.

Drawing on practical experience across GBS operations, Dorota explores what makes a process genuinely ready for autonomous execution, why human oversight remains critical, and how organisations can shift from measuring time saved to value created.

Download this interview to discover:

  • Why the biggest barriers to Agentic AI are rarely technological – and how fragmented data, processes and ownership can hold back even the most advanced solutions
  • What makes a GBS process ready for autonomous execution, including the importance of structured data, clear rules and defined human hand-off points
  • How to build the workforce and governance model for an AI-enabled GBS, from developing AI fluency and AI-orchestrator mindsets to maintaining human accountability

Download the full interview case study now to understand what it really takes to move from AI experimentation to scalable, human-led value creation in GBS.