Per Gartner, around 80% of Finance and Accounting leaders have implemented or are planning to implement RPA.  Cloud adoption and implementation of new digital technologies however remain a challenging feat for many organizations.  As RPA grows beyond automation of A/P and A/R processes, Finance leaders are under pressure to increase the ROI on finance automations as they scale out of shared services and into other finance subfunctions such as procurement, tax, or treasury.  RPA in Finance is also evolving from simple individual task automation to complete process automation that could improve the accuracy of financial analysis and forecasts. This involves combining finance automations with other AI, ML, NLP, IDP or intelligent automation technologies. 

 In this session, join Darshan Jain, Industry Practice Leader for Banking, Financial Services & Insurance at Nintex and Will Thomas, Managing Director at Protiviti as they discuss: 

• How to discover, document, and rank process automation candidates 
• Selected F&A process candidates depending on where you are in your automation journey 
• The merits of combining an end-to-end process view with Workflow and RPA 
• How to scale beyond A/R and A/P 
• Emerging examples of AI being used in F&A automations