Manage processes through continuous learning-powered Intelligent Automation and not by exception
As market scenarios change dynamically, businesses have to continuously look at improving their time to market as well as profitability aspects on an on-going basis. They have to be agile and ingrain agility and sustainability in their business processes. Intelligent Automation not only speeds up processes and brings in high agility but also improves the profitability aspects by delivering more in less time, lowering operational costs, and bringing in higher orders of scale with the help of continuous learning algorithms.
How does Intelligent Automation aid your business processes?
Intelligent Automation is the holy grail of modern-day business. Essentially, it is robotic process automation (RPA) powered by artificial intelligence (AI) / machine learning (ML) algorithms. It works in the realm of data-intensive processes, whereby the algorithms get continuously trained during exception handling and ensures progressive straight-through processing (STP) in the underlying RPA framework. It takes a wide range of data in its purview, including structured, unstructured, and semi-structured data.
Intelligent Automation scenarios that give you the edge
· Processing of invoices received in an unstructured format: As more and more documents that get generated are in an unstructured format, it becomes quite imperative for businesses to look at a solution that brings the unstructured data in the ambit of automation. Most automation solutions fail when they encounter documents in an unstructured form. Intelligent Automation gives you the edge and allows you to extract the data from unstructured documents, as well. It allows you to use the extracted data for the next steps and trigger the next steps in automation for the processing of the documents, such as invoices.
· Processing of customer service requests in an unstructured format: Customer service desks have to be future proof such that they deliver an omnichannel experience to their clients. When they receive recorded-voice calls or more specifically files in *.Wav format, regular automation cannot take over. Here, Intelligent Automation more specifically with Natural Language Processing or NLP capability allows you to decode the voice files, extract the required information, and then transfer it to the relevant enterprise system using RPA bots to fulfill the customer service request.
· Processing multiple data layers simultaneously: Regular automation fails when it has to simultaneously process multiple data layers. Here, Intelligent Automation using Deep Learning algorithms allows you to process multiple data layers in different systems, join the dots, and the flag outliers or inconsistencies or fraud before they are about to occur.
· Claim processing: Insurance and health care claim processing is a tedious manual task. It requires human intervention to screen fraudulent claims. Intelligent Automation powered by ML algorithms undergoes silent but steady continuous learning in the background while manual decision making and exception handling occur. The ML algorithms become progressively intelligent with time such that the claims are handled in an automated manner the next time.
· Image processing during travel & expense management: Many executives operating from the field have to put their travel & expense bill under processing while they are still away from the desks. The automation spree does allow them to send images to their head offices for processing, however, those being in an image format require human intervention. Intelligent Automation powered by Computer Vision is able to intelligently and accurately capture data from the unstructured documents
Born digital businesses, don’t manage by exception. Their processes are tightly automated. Businesses in the semi-automated zone need to upskill their automation practices. Intelligent automation allows them to embrace automation either in an end-to-end manner or in the form of point solutions.
Simply put
Businesses execute their trade in a highly dynamic environment. Intelligent Automation enables businesses to automate their processes and improve process automation through continuous learning. It imparts high agility to processes and reduces operational costs over time.
