The use of AI and Machine Learning techniques to automate human tasks has been around for several years. Simulating the human thought process using computer vision and language and speech recognition technology helps solve many interesting challenges across industries such as banking, insurance, legal, and more. From automated classification and summarization of legal documents to the automation of data entry tasks and abstraction of critical customer data – automation finds many use cases in the business world.

But as the demand for intelligent automation grows, enterprises must figure out 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 intelligent automation.

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 are normally done by people, RPA helps organizations in making decisions or follow rules that are based on clear conditions.

So, what makes RPA so beneficial? For starters, organizations no longer need enormous manpower to carry out day-to-day tasks. They can simply implement RPA across any apt business use case for clear and visible impact. RPA technologies are wielded by skilled experts or competent programmers 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 for them.

Over the years, RPA can prove to 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 given threshold.
  • Internal support teams can make use of RPA to send automated emails to users for resetting their passwords as their password expiry date approaches.
  • Retail companies can exploit RPA to automate the complex purchase-to-pay lifecycle, including vendor master creation, requisition, supplier requests, and purchase order management.
  • HR teams can embrace RPA to automate complex yet critical tasks across time and attendance management, payroll, employee onboarding and offboarding, etc.

    The role it plays in intelligent automation

    Automation is being used across many industries today to minimize manual
    intervention, improve accuracy, and accelerate decision-making. But repetitive tasks don’t live in isolation; they always form a foundational part of a bigger process that’s crucial to any company’s operations. That’s where intelligent automation comes in.

    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 reduce human effort and boost efficiency like never before. Intelligent automation, a combination of RPA and AI, can play a great role in empowering rapid end-to-end business process automation and speeding up digital transformation. It extends the horizons of standard automation, allowing organizations to automate higher-order tasks that otherwise require human judgment and perception. Instead of taking a rules-based approach, it empowers organizations to take a data-driven approach, evolving from just “doing” to actually “thinking”.

    Let’s look at an actual use case. Consider the accounts payable process which is made up of several steps, starting from extracting data from invoices to entering it into various systems, validating payment requests, and paying bills. While RPA can help automate certain individual tasks like data entry, invoice matching, and payment execution, it does so in isolation. When combined with other intelligent technologies like AI and cognitive intelligence, it can enable end-to-end automation while making human-like decisions along the way, such as approving/rejecting requests, inspecting goods, and releasing payments. In short, it enables the automation of the entire process, including the steps that have long been done by humans.

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


    • RPA represents a strategic investment in intelligent automation, enabling organizations to combine AI with cognitive capabilities – thus improving and extending the capabilities of standard automation.
    • It further minimizes human involvement in the decision-making process, enhancing the accuracy of complex operations that involve 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 that are greater than the sum of the individual parts.

    Improving business decision-making with intelligent automation

    Today, enterprises which continue to perform day-to-day 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 foundation of intelligent automation using RPA.

    Whether you belong to the retail, banking, or insurance industry, enabling intelligent automation across your growing enterprise can open doors to several benefits. Through automation of the tedious and time-consuming tasks, it can minimize human error, increase efficiency, and free up your skilled workforce to work on strategic tasks.

    Such automation can help in enhancing productivity, allowing employees to tackle pressing issues that are 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