How can you identify the best processes for RPA automation?

To identify processes for RPA automation: 1. Focus on repetitive, rule-based tasks. 2. Prioritize high-volume, data-intensive processes. 3. Look for tasks with clear rules and decisions. 4. Consider data transfer and legacy system integration. 5. Assess scalability, cost savings, and quick implementation. 6. Align with business goals and involve employees. 7. Pilot test to validate suitability.

When evaluating the best business processes to automate with RPA, I first ask three feasibility questions: 1) Is the process digital? 2) Is the process stable? (not changing in the next 6 months or uses apps being decommissioned) 3) Is the process well-understood and rule-based? Then I evaluate the ROI by calculating the time back to business (which are amplified by high volumes) vs the development time (which is a factor of the complexity and the number of integrations).

In RPA for RCM, it's key to automate high-impact, routine tasks. Innovators like Jorie AI showcase the potential, focusing on process efficiency and accuracy. Their approach exemplifies how RPA can transform operations, enhancing performance and enabling a strategic shift towards more complex, value-added activities. Such automation not only streamlines workflows but also elevates overall service quality, and boost revenue - a testament to the power of smart technology integration in RCM.

RPA is a technology that automates tasks done by humans. To find the best processes for RPA, follow these steps: Analyze your current processes and pick the ones that are repetitive, rule-based, and data-intensive. Evaluate their suitability for automation based on criteria such as stability, maturity, and company-specificity. Prioritize the processes that have the most potential and value for automation. Design, test, and implement the automation solution using RPA tools and best practices. Monitor and improve the automation solution by measuring the results and collecting feedback

This is not an easy task. I learned that there are a few traps... 1. Compiling a list of repetitive tasks that are not meaningful, will result in you paying for bots whose work are not valued... 2. Finding a list of unrelated repetitive tasks to automate end up difficult to reconcile the business value. You need to find those things to automate that will add business value that is agreed upfront and the value can be felt and seen enterprise wide. If you focus is to save time, how you measure it, what the value is etc needs to be taken agreed upfront. RPA should not be standing alone and be part of an enterprise wide digital strategy.

process stability is a critical factor. A stable process tends to have certain characteristics: Consistency: Stable processes often follow well-defined and consistent patterns or rules. Reduced Variability: Processes with minimal variations or exceptions are more suitable for automation. Standardized Procedures: Processes that follow standardized procedures are easier to automate. Reliable Data Sources: Stability often aligns with reliable and consistent data sources. Minimal Change Frequency: Processes that undergo frequent changes might not be ideal candidates for immediate automation. Expertise Availability & Business Impact: Consider the impact of the automated process on the overall business operations.

a recipe for process automation failure is to choose processes without sufficient understanding of stability, standardisation levels and potential optimisation needs. A good way to create visibility around process aptitude for automation is to run a process mining project to shed light on the extend of optimisation work needed and to pick the best path offering limiting errors and fall-overs.

Choosing high-volume processes for automation offers several compelling advantages: Cost Efficiency: Automating these tasks reduces the need for manual labor, resulting in significant cost savings over time. Time Savings: Automating tasks that occur frequently and in large volumes leads to considerable time savings. Error Reduction: Automation ensures consistent and accurate processing, reducing the risk of mistakes and enhancing overall quality. Scalability: Automated systems are often more easily scalable than manual processes. Productivity and Performance: Automating high-volume tasks improves productivity by streamlining processes. Quick ROI:Automating high-volume processes often yields quicker returns on investment

Integration with other Technologies like AI & ML and Data extraction will scale the RPA into IPA. and Some of the BPM tools that will help us with the Dashboard for the Complete RPA cycle.