RPA is ideal for: ? Rule-based tasks with clear instructions (e.g., data entry, form filling). ? High volume, repetitive processes (e.g., invoice processing, report generation). ? Structured data handling (e.g., spreadsheets, databases). ? Multi-system interactions (e.g., CRM to accounting system). ? Standardized workflows (e.g., employee onboarding). ? Time-consuming tasks (e.g., email sending, password resets). ? Error-prone tasks (e.g., data reconciliation). ? Non-strategic, support tasks (e.g., compliance reporting). Any repetitive, rule-based task involving structured data across systems is a great fit for RPA!

I would keep RPA as a back-up plan, as it can become a high maintenance tool. Underlying systems where RPA is applied to, can change over time and therefore will break your RPA process. RPA should not be confused with automation that uses API's, which is a far more stable way to automate processes. However, sometimes you're dealing with closed systems/ software and in that case you could consider RPA or better switch to a more modern (cloud based) system with good API functionality.

RPA enhances efficiency by automating repetitive tasks like data entry, email management, and report generation. It streamlines reconciliation, workflow approvals, and file management, reducing errors and delays. Customer service, scheduling, and data extraction can also be automated, saving time. Overall, RPA improves accuracy and allows businesses to focus on high-value tasks.

RPA is best suited for handling repetitive tasks like data entry, sorting emails, and generating reports, which can often lead to mistakes. It can also make things like invoice processing and file management much simpler. Automating these operations would increase efficiency, freeing up time for higher-priority, value-driven activities.