At its annual conference, Nintex has previewed new process and machine intelligence capabilities within its no code platform designed to drive even greater process efficiencies for enterprise organisations worldwide.

Nintex has created a no code offering that empowers line of business workers to automate, orchestrate, and optimise their own business processes, without having to wait for IT. 

Nintex CEO John Burton says, "Nintex has been a pioneer in workflow and content automation, which has revolutionised how digital transformation is done in organisations. Today, we're excited to lead enterprises into the fourth wave of process automation which we refer to as intelligent process automation."

McKinsey & Company estimates that 68 percent of enterprise processes remain manual. Nintex believes that intelligent process automation (IPA), which includes capabilities to leverage AI services and actions like smart routing/approvals, smart contract reviews, smart scheduling and more, is the key to realising untapped opportunities in the long tail of automation.

Nintex also believes that enterprise organizations seeking to achieve digital transformation need a new approach to process automation, one that is based on trust between lines of business and the CIO and IT department.

At xchange, Nintex demonstrated how the company is leveraging best-of-breed AI and machine learning technologies from Amazon, Azure, and Google to fuel IPA.  Without having to write code, line of business workers can drag intelligent actions onto the workflow canvas to do things such as:

• Intelligent routing : Using machine learning, the intelligent routing action automatically routes a contract to the legal person most likely to respond and review the contract in the shortest time period based upon the type of contract, the dollar value of the contract, the time of day, the day of the week, etc.
• Intelligent redlining : Relying on natural language processing and machine learning, the intelligent redlining highlights any changes to the agreement that it deems material (e.g., at least one standard deviation change in pricing or contract length).
• Intelligent archiving : Parsing of the metadata and the text of a document is used to determine the type of document being archived and machine learning can intelligently route it to the appropriate location(s) for storage (e.g., within a cloud content management system, CRM system, etc.).

To learn more about IPA, download Nintex's latest white paper at www.Nintex.com