What happens when you combine two powerful technologies together? Let’s see the case of two such technologies RPA and AI.
RPA provides a set of rules-based tools that enable bots to automate repetitive and routine tasks, while AI provides the ability to analyze large amounts of data, recognize patterns, and make decisions based on machine learning algorithms. By combining these two technologies we can create an intelligent automation solution. For example, an RPA bot can be trained to recognize and respond to different situations, such as routing emails to the appropriate department based on their content.
Why should you add AI to RPA?
Integrating AI with RPA, organizations can create more intelligent bots that can handle more complex tasks, such as decision-making and problem-solving. The result is a more efficient and effective automation system that can improve business processes, increase productivity, and reduce costs. Let’s see the benefits of this combined technology in detail.
Handling more complex tasks – RPA is used to automate simple, repetitive tasks that do not require much intelligence. But adding AI to RPA can help improve the bot’s decision-making skills and problem-solving skills, allowing it to handle more complex tasks.
Improved customer service- By adding NLP to RPA, bots can understand and respond to human language in a much better way. This way businesses can improve their interaction with customers using these technologies. It can enable bots to handle customer service inquiries, process emails, and perform other tasks
Image Recognition skills – Some businesses may require identifying information from any kind of document that is available in the form of an image. In such cases, RPA alone might not be so helpful as bots cannot identify images with different structures or changes. This can be solved by a properly trained AI as it can identify changes and structures in images.
Cost Saving and Improved Efficiency –
The combination of AI and RPA can reduce human intervention and improve the overall efficiency of the work. This can enable cost savings in terms of time and resources.
The future of AI + RPA
As more and more organizations are aware of the success boost of these technologies, the adoption of these technologies will continue to rise. As these technologies continue to evolve and become more integrated, organizations will need to adapt and embrace the opportunities they provide to stay ahead of the competition.
However, it’s important to note that implementing RPA with AI requires a deeper level of expertise and more advanced technology, and organizations should carefully consider their needs and capabilities before undertaking such a project.
