Features of an intelligent automation system include machine learning, data analytics, and real-time decision-making. These systems are designed to streamline processes, reduce human intervention, and enhance operational efficiency. Intelligent automation can adapt based on input data, learning from previous tasks to optimize future workflows. Additionally, they often integrate with existing software applications to facilitate seamless execution of complex tasks. By employing advanced algorithms, these systems not only improve productivity but also minimize errors, leading to greater overall effectiveness in business operations.