What is robotic process automation (RPA)?

Robotic process automation (RPA), sometimes known as software robotics, employs automation technology to replicate back-office functions performed by human workers, such as data extraction, form completion, file movement, and so on. It integrates and performs repetitive operations between corporate and productivity apps by combining APIs and user interface (UI) interactions. RPA technologies complete autonomous execution of diverse tasks and transactions across unconnected software systems by deploying scripts that replicate human operations.

This type of automation employs rule-based software to handle high-volume business process operations, freeing up human resources to focus on more complicated tasks. RPA helps CIOs and other decision makers to expedite their digital transformation initiatives and create a greater return on investment (ROI) from their employees.


What are the commercial advantages of RPA?

Workflows are streamlined through robotic process automation, making organisations more lucrative, adaptable, and responsive. By reducing monotonous chores from their workdays, it also boosts employee satisfaction, engagement, and productivity.

RPA is non-intrusive and may be applied quickly to expedite digital transformation. It’s also great for automating operations using outdated systems that don’t have APIs, virtual desktop infrastructures (VDIs), or database access.

  • Transformation has being accelerated.

RPA is a crucial component in digital transformation, according to 63% of worldwide CEOs.

  • Significant cost reductions

RPA accelerates and significantly improves business metrics across sectors and throughout the world.

  • Increased resilience

RPA robots can swiftly ramp up to meet workload peaks and respond to large demand increases.

  • More precision

RPA, according to 57% of respondents, decreases manual mistakes.

  • Increased productivity

68% of worldwide workers feel that automation will increase their productivity.

  • Compliance has improved.

RPA has’met or surpassed expectations’ for enhanced compliance, according to 92% of respondents.

  • Increased personnel value

RPA, according to 60% of CEOs, allows staff to focus on more strategic tasks.

  • Employees who are happier

RPA is said to enhance employee engagement by 57% of CEOs.

Intelligent automation and RPA

To remain competitive in the market, RPA technologies must go beyond task automation and expand their services to include intelligent automation (IA). This sort of automation extends RPA capability by adding artificial intelligence sub-disciplines such as machine learning, natural language processing, and computer vision.  

Intelligent process automation need more than RPA’s simple rule-based technologies. RPA may be seen of as “doing” things, whereas AI and ML are more concerned with “thinking” and “learning,” respectively. It uses data to train algorithms so that the software can accomplish jobs more quickly and efficiently.

Robotic process automation and artificial intelligence

Robotic process automation (RPA) is frequently confused with artificial intelligence (AI), although the two are not the same. Cognitive automation, machine learning (ML), natural language processing (NLP), reasoning, hypothesis creation, and analysis are all components of AI.

The key distinction is that RPA is process-driven, whereas AI is data-driven. RPA bots can only follow end-user-defined procedures, but AI bots employ machine learning to recognise patterns in data, particularly unstructured data, and learn over time. To put it another way, AI is designed to emulate human intellect, whereas RPA is designed only to replicate human-directed activities. While artificial intelligence and RPA systems reduce the need for human interaction, the manner they automate activities differs. 

However, RPA and AI complement each other effectively. AI can assist RPA in completely automating activities and handling more complicated use cases. RPA also allows AI insights to be implemented more rapidly rather than waiting for manual implementations.

Where may RPA be put to use?

RPA is already creating new efficiencies and liberating employees from repetitive monotony across a wide range of businesses and procedures. RPA has been used in areas as diverse as finance, compliance, legal, customer service, operations, and IT by businesses in industries ranging from financial services to healthcare to manufacturing to the public sector to retail and far beyond. And that’s just to get started.

RPA has grown in popularity due to its broad applicability. Virtually every high-volume, business-rules-driven, repeatable process is a good candidate for automation, and cognitive operations that demand higher-order AI skills are becoming more popular.

What characteristics and skills are critical in RPA technology?

To create and administer an enterprise-wide RPA programme, you need technology that can do more than just automate a single process. You need a platform that can help you establish and maintain a new enterprise-wide capability while also assisting you in becoming a fully automated enterpriseTM. Your RPA solution must help you from start to finish, from identifying outstanding automation possibilities everywhere to swiftly constructing high-performance robots and maintaining hundreds of automated workflows.

Why is RPA the world’s fastest-growing corporate software?

  • RPA may assist many different sectors in addressing their own operational difficulties in novel and compelling ways.
  • RPA enhances numerous processes, producing more capacity, quicker throughput, and fewer mistakes for essential activities, according to leaders in functional areas ranging from finance to customer service to marketing to human resources and beyond.
  • In comparison to other corporate technologies, an investment in RPA technology provides quick ROI and needs less upfront cost.
  • RPA, according to IT leaders, can be introduced with minimal impact. RPA has also become a crucial facilitator for digital transformation since software robots can readily access and work within outdated systems. Furthermore, contemporary RPA technology provides scalable, enterprise-ready platforms.
  • Employees find it straightforward to integrate robotic assistants into their workdays, and RPA’s low-code approach enables them to become citizen developers capable of creating their own basic automations.
I am Shakshi Bhuiya, an engineer, tech enthusiast and public speaker.