Fatihah Ramzi, DigitalCFO Newsroom | 23 May 2022

Artificial intelligence (AI) and robotic process automation (RPA) are two of the most effective ways to boost customer satisfaction and employee morale while cutting costs.

Artificial intelligence (AI) and robotic process automation (RPA) are two of the greatest solutions in improving customer satisfaction and employee morale while lowering operating expenses. Although they are two separate technologies that cater to a different set of organizational needs, it is important that businesses know their differences so that they can pick the best solution for themselves. With that said, here are the benefits of RPA and AI as well as their differences.

Robotic Process Automation

The use of software “robots” also known as specialized computer programs to streamline and automate repeated business processes is known as robotic process automation (RPA). RPA robots always do things the same way. They do not learn by performing the same thing over and over, and they will not innovate or think of a better technique to complete their assigned goal. RPA robots seem more like virtual assistants than robots, allowing you to offload repetitive activities that are not hard but take up important staff time. Robots, unlike people, never become bored since they do things exactly as told and with the highest level of efficiency. This will in turn allow employees of the company to focus on other tasks which require more creativity, time and innovation. 

Benefits of RPA to the organization:

  • Accuracy: reduce human mistakes and the expenses that come with it
  • Compliance: establish audit trails and adhere to all regulatory requirements.
  • Speed: faster completion of tasks, increasing efficiency
  • Reliability: otbs are available at all times and work around the clock, reducing delays.
  • Improved Employee Morale: allow staff to focus on productivity rather than processing by freeing them from repeated duties.

Artificial Intelligence

The simulation of human intelligence processes by computer systems, or “machines,” is known as artificial intelligence (AI). Learning, more specifically attaining material and contextual norms for applying it, thinking, utilizing contexts and rules to draw conclusions, and self-correction are examples of AI’s processes. AI also learns from its successes and failures. Image identification, machine vision, voice recognition, chatbots, natural language creation, and sentiment analysis are all popular AI applications.

Benefits of AI to the organization: 

  • Increased efficiency: performs activities at a rate and scale that humans are incapable of matching
  • Improved monitoring: can quickly handle large volumes of data
  • Reduction of human error: stricter adherence to specified guidelines
  • Better talent management: eliminates bias in corporate communications and streamlines the hiring process

Although RPA is used to assist workers by automating routine tasks,  better known as attended automation, AI is considered as a technology that can substitute human labor and automate end-to-end operations also known as unattended automation. AI uses unstructured inputs and generates its own reasoning, whereas RPA uses organized inputs and reasoning. A fully autonomous process can be created by combining RPA and artificial intelligence. Many procedures necessitates both RPA and AI to completely automate a process from beginning to end, or to optimize a robotic process once it has been implemented, because businesses have both structured and unstructured data (e.g., form fields).

RPA & AI: A Force Together

RPA and AI are separately useful technologies for automating business processes, but when combined, they are a formidable force. When AI and RPA are combined, the automation process can start significantly faster, resulting in an automation continuum.

A fully autonomous procedure would evoke a more cognitive reaction, which would be transmitted directly to the RPA system, which would then finish the work. This continuous automation would result in faster output. In terms of use-cases, it may be as simple as shortening the response time to a client query received outside of office hours.

As more organizations desire solutions that enhance productivity and cut costs, the future of RPA and AI is becoming progressively bright. The AI technologies that are still being developed will soon bring about the complete automation continuity that businesses are eagerly seeking in order to stay ahead of the competition in today’s fast-paced environment.