Finance teams face growing pressure to close faster, improve insight and control complexity while preparing for AI-enabled operations. Yet fragmented processes, inconsistent standards, weak journal discipline and unreliable reconciliation data can limit automation's value and increase risk. This workshop explores the practical foundations needed to make R2R AI-ready, connecting process discipline, data quality, orchestration and controls to safe, scalable automation and a more resilient close.

• Strengthen journal discipline by identifying the controls and standards needed for reliable automation

• Improve reconciliation integrity by addressing root causes of incomplete, inconsistent or unreliable balance sheet data

• Create greater process consistency by identifying where standardisation can enable automation at scale

• Build stronger orchestration by connecting activities, controls and dependencies across the close

• Prepare for agentic adoption by prioritising the foundational improvements that enable safe, scalable use of AI

This panel discussion will explore the process inefficiencies that create roadblocks to agility, innovation, and operational excellence. For long-lasting success, finance must collaborate seamlessly to optimise end-to-end workflows. Explore how GBS and finance leaders can drive integration, reduce bottlenecks, and enhance responsiveness. Gain actionable insights on structuring teams, leveraging automation, and fostering a culture of cross-functional collaboration for sustainable efficiency and growth.