Completing your RPA Investment with AI-based Capabilities

Are The Bots Really Taking Over?

Robotic Process Automation (RPA) is a technology that enables companies to configure software, or “bots,” to capture and interpret information for processing a transaction, manipulating data, triggering responses, and interacting with portals to retrieve or upload documents.

This communication path with other digital systems is needed when there is no API available for internal systems such as the ERP. In effect, RPA mimics human interactions to perform well-defined business functions.

However, for those considering the larger digital transformation picture, RPA is only a piece of the puzzle.

While RPA is a powerful tool for performing rules-based, data-centric and repeatable tasks, there are still many document-based processes that RPAs simply cannot address, such as:

• Complex processes that cannot be defined with a few simple rules
• Data recognition for situations outside the norm (e.g., order number is in a different place on the order), variations, or changes
• Exceptions management: handling the cases that were not really planned and require human intervention to ensure the process isn't just invisibly stuck

What follows in this white paper are five examples from day-to-day order-to-cash (O2C) and procure-to-pay (P2P) processing adventures that showcase how artificial intelligence (AI) is the ideal complement to RPA.

Download Now: Completing your RPA Investment with AI-based Capabilities