Agentic: Next-Gen Steroid for RPA
Robotic Process Automation (RPA) has traditionally excelled at handling structured data—organized and predefined information. However, applying RPA to unstructured data, such as free text or images, has been a long-standing challenge. Attempts to automate processes involving unstructured data often result in low success rates, sometimes as low as 20%. Moreover, the time and effort needed to convert unstructured data can outweigh the benefits, making manual processes more practical in many cases.
One major hurdle is that implementing RPA for unstructured data often requires businesses to redesign their workflows to fit automation tools. This disruption can complicate adoption, as employees need to adjust to new processes that may not align with the way they currently work. As a result, progress in using RPA for unstructured data has been slow.
Generative AI (Gen AI) is now changing this dynamic. Gen AI has made significant advances in understanding and processing unstructured data. This technology is highly reliable and offers a way to automate tasks that were previously too complex for RPA.
Additionally, private Gen AI solutions address critical concerns about data privacy. Businesses can now deploy Gen AI securely within their environments, ensuring confidentiality while benefiting from advanced AI capabilities. This makes Gen AI especially useful in sensitive industries like healthcare, finance, and law.
By combining Gen AI with RPA, businesses can create a more seamless automation process. Gen AI can accurately transform unstructured data into structured formats that RPA tools can handle. This eliminates the need for businesses to overhaul their workflows, allowing automation to enhance existing processes instead of disrupting them.
With this integration, businesses can automate tasks involving all types of data—structured, semi-structured, and unstructured—without compromising efficiency or data privacy. This powerful combination enables organizations to boost productivity, reduce costs, and unlock the full potential of automation.