Kofax has announced the availability of Kofax Robotic Process Automation (RPA) 10.4, the latest version of the Kofax RPA solution that now includes Automatic Process Discovery and Robotic Lifecycle Management with Git (an open source version-control system for tracking programing changes).

“Kofax RPA automates and digitally transforms a wide range of information-intensive processes across front and back office operations,” said Chris Huff, Chief Strategy Officer at Kofax.

“It allows users to design and deploy intelligent robots that use built-in AI and machine learning to perform functions such as recognizing, classifying, and when needed transforming unstructured data into structured formats.

“Kofax RPA robots interact seamlessly across desktop software, traditional enterprise and browser-based systems and Web sites – aggregating data and content, transforming it into actionable information, triggering responses, and communicating with other applications.”

Automated Process Discovery records, maps and analyzes targeted business processes, applications and actions – human interactions via the desktop and multiple internal and external business applications and reference sites. It also provides insight into existing processes and tasks and helps identify repetitive tasks that can be performed by RPA robots.

Benefits include:

• Leveraging human creativity and ingenuity in working with multiple and complex applications when designing RPA robots.
• Designing RPA robots quicker and more accurately with volumetric and exception path analysis.
• Low-impact process discovery, which records and logs user interactions data with no effect on any day-to-day business.

On average 62% of organizational data that must be managed is unstructured information such as documents. If RPA is going to be used, then we need to address how to recognize and classify documents for inclusion in automated processes and most importantly provide the ability to transform document data into structured formats.

Kofax RPA’s cognitive document automation applies powerful, AI-based intelligence to learn and process unstructured document data. With machine learning analysis, Kofax takes the guesswork out of complex document processing and dynamically adapts to evolving data processes.

Benefits include:

• Increased productivity of document and data handling by processing more documents and electronic data faster.
• Improved data quality and reduced errors and exceptions in document-based and data-intensive business processes.
• Ensured compliance and an enhanced level of customer engagement.

“Kofax RPA 10.4 enables enterprises to scale automation programs by providing their workforce with the ability to design a digital workforce of software robots, improve foundational strengths to their automation strategy, discover and collect data and content from multiple solutions and resources, create cross-functional reports and interface with ERP systems,” added Chris Huff, Chief Strategy Officer at Kofax.

For more on Kofax RPA 10.4, visit here.