At the same time, internal auditors have to remain vigilant with flagging errors and fraud while maintaining regulatory compliance.

Enter robotic process automation (RPA) and machine learning. With RPA, finance teams can automate routine and repetitive tasks, such as gathering employees' expense data from travel and lodging apps. With the help of machine learning, internal auditors can detect and prevent fraud, errors, and regulatory noncompliance far more quickly than they can on their own. As a result, companies can trim employees' timeframes for submitting T&E expenses while shortening timeframes for reviewing and approving these expenses. 

During this webinar, we will highlight why finance leaders will increasingly depend on RPA and machine learning to improve the accuracy and efficiency of T&E expense management so that:

• Finance teams can reduce the amount of time and resources necessary to gather, review, and approve employees' expenses, 
• Internal auditors can accelerate the speed with which they flag and mitigate risks of fraud, errors, and regulatory noncompliance, and
• Finance leaders can improve their companies' visibility into and control over employees' T&E expenses.