Most Robotic Process Automation (RPA) platforms are designed to automate the processes with structured data as input, derived from a structured source like a spreadsheet or a database. One of the critical challenges RPA platforms face during automation is to deal with the information that is unstructured or semi-structured. Regardless of any industry, most of this data exists in invoices, contracts, and PDFs.
RPA vendors often categorise such use cases as low potential because of the complex and unstructured data that the use case offers for processing. Many organisations handle this by manual coding to extract the essential data for a successful transaction. This approach increases complexity within the automation and also results in increased automation cost and time.
Autosphere understood this challenge from its inception and developed a product, “AutoIDP”, that combines the power of RPA with IDP to enable business cases with significantly lower automation potential. Examples include horizontal specific use cases such as invoice processing, purchase order processing, and industry-specific use cases.
IDP holds the power to process data from invoices, contracts, or any other unstructured document format and feeds it to the RPA as structured data. AutoIDP allows swift AI-powered data capture through pre-trained and customer-trained models regardless of complexity or variation in formats.
