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

In the fast-paced environment of accounts payable (AP) customer service, efficiency is paramount. However, the inundation of emails to shared mailboxes has historically posed a significant challenge, creating bottlenecks and reducing the team's capacity to focus on their core responsibilities. The Cox Enterprises Intelligent Automation COE is helping the Enterprise AP Customer Service team tackle the inefficiency head-on. Join us to uncover how strategic advances in intelligent automation can be applied to your operations, ensuring that your customer service team can focus on what truly matters.

• Streamlining the ticketing process, enhancing response times and accuracy in addressing supplier & internal inquires.
• Share practical insights from training the communications mining model and use cases on applying the model
• Create categorized tickets to drive efficiency and productivity.