The advantages of upgrading from robotic process automation to artificial intelligence

Perhaps you’ve implemented robotic process automation (RPA) in your company. You may or may not have seen improvements and hit the goals or metrics you were hoping to achieve. Whether you’ve seen success or not, there’s still room for improvement by adding AI. 

In this piece, we’ll walk you through the differences between RPA (robotic process automation) technology and IPA (intelligent process automation), and spell out the advantages of each. 

For example: even after implementing automation, many employees still spend hours of time manually handling documents that are too complex for RPA. These include data extraction, data normalization, and turning unstructured content (e.g. text and images) into a structured, usable format. That’s where modern AI-driven automation technologies like intelligent document processing (IDP) come in.

What is intelligent document processing?

IDP was born out of the need for organizations to accurately extract data from documents. In essence, IDP leverages artificial intelligence (AI) and natural language processing (NLP) to effectively handle and oversee document-centric business processes. Through the adoption of IDP, organizations can optimize business processes involving a large volume of documents to reduce manual effort, enhance precision, and reach their digital transformation goals.

A notable advantage of IDP is its seamless integration capability with other automation tools like robotic process automation (RPA). This compatibility with existing technologies enables companies to enhance their current automation strategies, leading to improved overall efficiency and expanded operational scope. Read more to find out all of the advantages of upgrading from robotic process automation to artificial intelligence.