• Identifying bottlenecks and streamlines collections processes
• Discovering variations in budgeting workflows for accuracy
• Mining purchase-to-pay processes for optimization
• Ensuring compliance and accuracy in financial close processes
• Streamlining financial reporting cycles with workflow patterns

• Identifying bottlenecks and streamlines collections processes
• Discovering variations in budgeting workflows for accuracy
• Mining purchase-to-pay processes for optimization
• Ensuring compliance and accuracy in financial close processes
• Streamlining financial reporting cycles with workflow patterns

Most organizations are in full throttle mode of planning or implementing a wide array of automation and generative AI initiatives, across the enterprise as well as within their finance operations. With respect to finance automation and transformation, the programs are being driven and managed by finance, technology, the CoE, and various other support functional areas of the business. With so many players in the sandbox, it’s no surprise that silo dynamics are the biggest pain point when introducing, and/or expanding upon finance automation programs. 

In this session, topics of discussion will include, yet will not be limited to:

• Effective methods to ensure cross-functional buy in, project prioritization, and resource allocation
• Defining roles, responsibilities, and expectations for finance, technology, operations, the CoE, and other support functional areas to work together effectively
• Methods to foster cross-functional team communication and collaboration, promoting transparency, trust, and project alignment across diverse teams
• Technology platforms that provide a comprehensive view of automation projects, enabling teams to identify opportunities for cohesive collaboration and streamline workflows