How Robotic Process Automation & Artificial Intelligence Work Together

At Lean Consulting, we work with a host of businesses to recognise computer systems and help recreate human intelligence. We help develop and create organisational functions in all areas of AI, Machine Learning & Deep.

AI strategy is best employed in identifying effective areas within commercial or industrial enterprise with proven track record across a broad AI work. Utilising techniques to help maximise AI & machine learning effectiveness to reach organisational goals and objectives.

Artificial Intelligence (AI) is technology that allows computer systems to simulate human intelligence. AI often mimics cognitive functions that are usually associated with the human mind, such as problem solving, learning and one of the more significant behaviours – self correction. Examples of AI in our everyday life include spam email filters, voice recognition software (Apples “Siri” and Amazons “Alexa”) and personalisation of social media news feeds. A major part of AI is the use of Machine Learning software, whereby robots are taught to learn for themselves and make their own decisions without any kind of human supervision.

The main idea of RPA is to do what the developer has instructed it to and is heavily reliant on human input and maintenance, whereas the purpose of AI is to let the machine think and learn for itself – rather than to be told what to do. However, they are not mutually exclusive. RPA and AI can work together through intelligent bots, for example the RPA tool “Automation Anywhere” allows bots to self-learn through the “IQ Bot”. By integrating traditional RPA techniques with AI, the bot can perform tasks such as recognising unstructured data, learning from human feedback and many others. UiPath’s Computer Vision also combines the use of RPA with AI, as the robot recognises and interacts with on screen fields and components (including PDFs and images) and has the capability to perform text analysis. UiPath also allows automations to understand meaning from natural language inputs, providing a better and more personal customer and employee experience.

By assimilating with AI, RPA is able to complete more cognitive tasks rather than simple step-by-step processes which require very little thought or decision making. AI lets a basic automation transfer into something much more complex by integrating a more ‘human’ response into the workflow. Converging AI with RPA will enable your business to automate more complex, end-to-end processes whilst integrating insights into these processes, helping humans work smarter and faster than ever before.