Robotic process automation (RPA) is designed to automate repetitive, rule-based tasks by mimicking human interactions with software. It simplifies and optimizes workflows, enabling seamless automation across enterprise systems and applications. RPA is highly effective for data extraction, transaction processing, multi-agent AI system interactions, and monitoring AI model performance metrics and system health. By improving efficiency, minimizing workflow inefficiencies, and ensuring seamless system integration, RPA empowers businesses to scale operations and achieve greater productivity.
RPA is often mistaken for Artificial Intelligence (AI), but the two are fundamentally different. RPA is process-driven, meaning it is designed to replicate specific human instructions based on rules. AI, on the other hand, is data-driven and built to mimic human intelligence. However, RPA and AI still work together effectively, with AI helping RPA handle more complex tasks and RPA quickly turning AI insights into actions without manual effort.
RPA is widely used across various industries:
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