Digital transformation offers a powerful way to accelerate business processes, growth, and efficiency.

While the journey is rewarding, it is also long and complex.

Automation helps many businesses automate their tasks, while others might get confused about how to automate their tasks seamlessly.

78% of business leaders think automation enhances productivity, but which techniques to be integrated to make automation seamless?

That’s where Business Process Management (BPM) and Robotic Process Automation (RPA), at their core, help improve how businesses operate, though somewhat differently.

And they can increasingly work together.

From a technology standpoint, there are strategies to integrate agile BPM and RPA software. But there’s a lot of confusion about how they can be seamlessly integrated.

Understanding Agile BPM and RPA

Let’s distinguish between the two terms and what they represent:

Agile BPM is suited for dynamic business environments that require frequent adjustments and adaptations. It splits complex jobs into smaller tasks that keep helping companies to get better and adjust to new situations.

 RPA, on the other hand, is a robot-like program that does repetitive work, cuts down on mistakes, and works with different apps and systems. This lets your team spend time on more important high-value jobs.

Why integrate Agile BPM and RPA?

So, it drives more efficiency, scalability, and continuous improvement.

Here are some benefits of integration –

  1. Enhanced Flexibility and Adaptability
  2. Improved Efficiency and Productivity
  3. Allows workforce restructuring
  4. Optimizes APIs (Application Program Interfaces)
  5. Faster Time to Market for New products or services.

So, how do you Integrate Agile BPM and RPA?

Steps to Integrate Agile BPM with RPA-

Here are some step-by-step guidelines to achieve seamless integration –

#1 – Process Identification and Prioritization

Start by pinpointing and outlining processes suitable for automation based on frequency, complexity, and potential benefits.

Determine and prioritize processes that are repetitive, rule-based, and time-consuming processes based on impact on your business goals & objectives. Moreover, every workflow step must be documented from start to finish to understand where inefficiencies or bottlenecks exist.

#2 – Agile BPM Framework

An Agile BPM framework offers a flexible structure for process development and improvement. It incorporates Agile methodologies such as iteration development, collaboration, and customer feedback to ensure the process remains flexible and aligned with the business goals.

#3 –  Select the Right Tools and Platforms

Another factor for successful integration is selecting the right tools and platform to support your automation needs and business goals. Moreover, select the tool that can handle the complexity and variety of processes and integrate seamlessly with your existing systems and applications.

#4 – Deploy RPA Bots

RPA bots can identify tasks within your Agile BPM framework and interact seamlessly with your existing systems and applications, ensuring they perform tasks faster and without errors.

For example, once an event is triggered in your BPM system, such as a customer inquiry – the process could automatically delegate the task to an RPA bot, like fetching consumer’s details or sending them a follow-up email.

#5 – Monitor, Analyze, and Improvement

Implementing the process and continuously monitoring the performance to optimize the integrated process helps to create an efficient and agile system. Track key metrics, such as task completion times, error rates, and overall process efficiency.

Regularly assess the effectiveness of automation and identify areas for further improvement.

Conclusion

While BPM and RPA have significantly transformed how businesses approach process automation, organizations can achieve significant efficiency, productivity, and customer satisfaction benefits.

By carefully considering these steps outlined in the blog, businesses can implement this powerful combination to unlock the full potential of automation.

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