Which of the following operations can RPA handle?

RPA, or Robotic Process Automation, is particularly well-suited for handling a variety of repetitive, rule-based tasks that involve structured data. In this scenario, options such as claim processing and document classification are prime examples of tasks that RPA can effectively automate.

Claim processing involves a series of standard procedures that can be codified into rules, making it ideal for RPA. Automation can be applied to tasks such as data entry, verification of information, and processing claims against set criteria, significantly increasing efficiency and reducing human error.

Document classification also aligns well with the strengths of RPA. This task often involves sorting and organizing documents according to predefined categories, which can be automated by creating bots that recognize specific attributes of the documents, such as keywords or formatting.

Choosing the combined option of document classification and claim processing highlights the capability of RPA to handle multiple related processes that benefit from automation, thereby enhancing productivity in environments where both tasks frequently occur. In contrast, the other options, while individually plausible for RPA, do not capture the breadth and integration of processes that the correct answer encompasses. For instance, writing emails typically requires more nuanced human judgment and creativity, attributes not suited for RPA as efficiently as structured, predictable processes.