Intelligent Automation Starts with Effective RPA

AI and Machine Learning techniques have been used to automate human tasks for several years. Simulating the human thought process using computer vision and language and speech recognition technology with intelligent automation solves many interesting challenges across industries such as banking, insurance, legal, and more.

From automated classification and summarization of legal documents to automating data entry tasks and abstraction of critical customer data – automation finds many use cases in the business world. But as the demand for technology grows, enterprises must determine if they are prepared for the next wave of innovation. Read on to learn about the current RPA scenario and how it sets the foundation for future initiatives.

The Current RPA Scenario

RPA has been around for decades, but its popularity has grown manifold in the last few years. By automating mundane, repetitive, error-prone, and rule-driven tasks that people normally do, RPA helps organizations make decisions or follow rules based on precise conditions.

So, what makes RPA so beneficial? Organizations no longer need an enormous workforce to carry out day-to-day tasks. They can implement RPA across any apt business use case for clear and visible impact. Skilled experts or competent programmers wield RPA technologies to build complex systems from scratch and run them continuously. All you need is an understanding of how people are currently doing their work and then train bots to do these tasks.

Over the years, RPA can be enormously successful for organizations that deploy it. For instance,

• Banking organizations can use RPA bots to automatically copy and paste
• Customer data into various processing systems and accelerate the KYC process
• IT organizations can leverage RPA to monitor servers and networks and get alerts when performance falls below a threshold.
• Internal support teams can use RPA to send automated emails to users to reset their passwords as their password expiry date approaches.
• The HR team with the help of RPA can automate complicated things, manage time and attendance, payroll, hiring and firing employees, and more with RPA.
• Retailers can automate their purchase-to-pay process, which includes creating a vendor master, handing supplier requests, and managing purchase orders all with RPA.

The Role it Plays in Intelligent Automation

Cognitive technology is used across many industries today to minimize manual intervention, improve accuracy, and accelerate decision-making. However, repetitive tasks don’t live in isolation; they are an integral part of a more extensive process crucial to any operations of a company. This is where advanced automation takes up the role.

As organizations look to reduce the dependence on humans, combining automation with evolving technologies such as AI, computer vision, natural language processing, and others can further minimize human effort and boost efficiency like never before.

Intelligent automation, a powerful combination of RPA and AI, can drive faster digital transformation and can achieve seamless end-to-end business. It extends the horizons of standard automation, allowing organizations to automate higher-order tasks that otherwise require human judgment and perception. This enables automations to break free from the set of rules allowing organizations to make a data-driven decision and to make more intelligent decisions.

Let us look at a real case study. Take an accounts payable process that has several steps, from extracting data from invoices into various systems, checking payment requests, and paying bills. With the help of RPA, specific tasks like data entry, invoice matching, and payment execution can be automated in isolation.

With the support of other intelligent technologies like AI and cognitive intelligence, RPA moves beyond basic human task execution and enable end-to-end automation making human like decisions such as approving/rejecting requests, checking goods, and release of payments, it automates all the entire process that humans have taken in a simplified way.

Here’s how RPA forms the first step in enabling cognitive automation and building the foundation of operational efficiency:

• RPA represents a strategic investment enabling organizations to combine AI with cognitive capabilities – thus improving and extending the capabilities of standard automation.
• It further minimizes human involvement in decision-making, enhancing the accuracy of complex operations involving unstructured information.
• By acting as a bridge across various systems, RPA helps orchestrate and automate the workflow of a process in its entirety and uses a combination of many intelligent technologies to create synergies that deliver results greater than the sum of the individual parts.

Improving Business Decision-Making

Today, enterprises that perform daily tasks manually suffer from efficiency-related problems. If you find that inefficiencies have started to hamper your business performance, it is time to build a strong framework of AI-driven transformation using RPA.

Across industries like retail, banking, or insurance industry, enabling intelligent workflows to your growing enterprise can offer several benefits. It reduces time-consuming tasks that minimize human error, increases efficiency, and frees up your skilled workforce to work on strategic tasks.

Such automation can help enhance productivity, allowing employees to tackle pressing issues more valuable to your organization’s mission and goals. It can also lead to higher employee engagement, greater accuracy, and prevention of missed opportunities, and faulty decision-making. Talk to us Today, to understand not only how to embrace RPA for business impact but also how to do so in a scalable and strategic manner.