Business processes include handling documents of different types like completed forms, contracts, invoices, receipts, or even identification forms for employees, which tend to be a speed breaker for service agents or staff handling this daily.
Natural language processing (NLP) and Natural Language Understanding (NLU) is the ability of computers to read and understand the information within documents.
NLP automation involves reading, understanding, and decisioning documents on a platform that can remove this speed breaker on the process—processing an invoice for payment and reading to validate and store the Know Your Customer (KYC) form. How do we get started with NLP automation? The first step involves taking an inventory of where documents are part of your business process and what is slowing the process down. This could involve a process manager reviewing the current state of the business process. Documents or information being read or reviewed manually and data being entered or flagged manually into a system are perfect for automation.
Where to get started with NLP automation? Your business process is the best place to get started for a review to see where documents are entered or exit the workflow and what requires manual intervention. For example, contracts being submitted to be attached to a purchasing system so they can be connected with a vendor profile for invoices or payments. This involves manual review, upload, and correlation due to specific vendor information found in multiple documents or systems. The NLP automation here will involve reading the contract, extracting the vendor name and or id, and using that to update or upload the right contract into the right system. Additionally, it may involve updating the invoices to reference the contract within the system. Anything that involves manual intervention along with comprehension of a document and with a follow-on step can be automated or help in augmenting the process for efficiency.
Are you ready to start reviewing your business process? Let's roll.