Robotic Process Automation (RPA) Strategies, Trends and Future in UAE

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Robotic Process Automation (RPA) is an ever-expanding market that is growing exponentially as it is driving a massive increase in productivity within organizations. It focuses on delivering advantages to a diverse range of departments and requires a minimal upfront investment. Hyperautomation, the latest automation trend, deals with the application of advanced technologies such as Artificial Intelligence and ML and helps you automate processes and augment humans. This process covers a wide range of tools that can be automated while defining the sophistication to discover, analyse, design, automate, measure, monitor, and reassess. Hyperautomation today involves a combination of tools, including robotic process automation (RPA), intelligent business management software (iBPMS) and AI, with a goal of increasingly AI-driven decision making. RPA can help you automate almost every task be it multiplying the staff productivity or utilizing the information efficiently. Companies spend the maximum number of working hours on different repetitive tasks that have a great effect on the processes that are on priority and the same can be decreased using RPA. It is a modern technology that helps you employ software that is equipped with bots for doing work by imitating humans. Using these bots, you can execute repetitive and predictable tasks having a high volume of data as they focus on capturing data, interpreting responses, and then eventually communicating it with multiple devices strategically.  

What are RPA and the future of RPA?

Robotic Process Automation (RPA) uses software having AI and ML capabilities. It helps you handle high volumes of data and repeatable tasks that previously required humans to perform. It includes queries, calculations, maintenance of records, and transactions. By 2024, large organizations will triple the capacity of their existing RPA portfolios. The pandemic and ensuing recession increased interest in RPA for many enterprises. Gartner predicts that 90% of large organizations globally will have adopted RPA in some form by 2022 as they look to digitally empower critical business processes through resilience and scalability while recalibrating human labour and manual effort. With an increase of 19.5% from its value in 2020, the global RPA revenue is projected to reach $1.89 billion in 2021.

• The major problem ahead of companies today is to employ hundreds of applications to ensure high levels of customer experience. It’s tedious to check all the applications to identify potential bottlenecks and sources of friction.
• The RPA solutions can help you generate mass mails and extract media data such as PDFs and docs while sending payroll and creating invoices.
• Every business focuses on generating revenue and RPA helps you do exactly the same by automating your sales operations that make the execution of transactions faster and accurate.
• RPA can also help you in mass data management by collecting, integrating, analysing, and processing it as per the requirement which eventually improves process performance.

    Read More Artificial Intelligence Key Trends for 2021 in UAE  

Building a Comprehensive RPA Implementation Plan

Most companies face a major challenge of the alignment of an organizational strategy while adopting Robotic Process Automation solutions. It includes their inability to prioritize tasks, cybersecurity, and data security concerns, the high cost of implementation, deciding the best application, regulatory constraints, challenges in scaling applications, making a convincing business case, aversion to risk, and limited RPA skills or developers. Businesses need to introduce scalable RPA solutions that can support the future use of Artificial Intelligence (AI) and other emerging technologies. They need to ensure that all the processes they practice are standardized and digitized. Also, before they start implementing the RPA plan, it’s very important to understand all the major challenges. Companies should have an effective plan, a proper governance structure, and a transparent operating model with clear guidelines to avoid any hassle in the implementation of the RPA solution.

Strategies to Overcome the Challenges

• Simple Processes: Your initial efforts can make a great difference and hence you need straightforward processes where RPA will provide significant value.
• Efficiency: You need to ensure that the existing processes are efficiently automated and completely optimized to drive desired outcomes.
• Scalability and AI support: The bots must not get retired. When RPA adoption begins at a functional level, your organization must be well-prepared for advanced AI support.
• Data Security: If you don’t emphasize efficient monitoring of RPA, you may face high risk and hence, every application must have an audit trail. It helps you understand the building process, working process, and changes made.
• Right RPA Software: Only buy what’s useful. Most organizations believe that all RPA solutions are the same but in practice, every RPA software for business follows a different approach towards process automation.
• Cost-Effective: Don’t forget to analyse the value of RPA beyond efficiency and cost-effectiveness. You need to track enhancement in speed, productivity, and quality while feeling the difference in employee engagement and customer gratification.
• Comprehensive Team Approach: Don’t hand over the entire project to the development team. Follow a comprehensive team approach instead to explore new opportunities.

 

Implementing RPA

  RPA brings accuracy, scalability, agility with improved communication and enhances productivity and service level while saving a lot of time and labour. If you want to take full advantage of RPA, you need a well-prepared approach that includes building momentum, deploying bits, and monitoring their effectiveness. Here is what you can do:

1. Program Initiation: It includes establishing a successful RPA program through objective alignment and helps you decide whether it’s beneficial for the purpose.
2. Assessing Potential Opportunities: Focus on the input and output volume, process variability, and value unlocked via automation to attain the best results. You need to ensure that the volume and process variability is in equilibrium as they have a direct effect on cost-benefits. Also consider data security, cybersecurity, and scalability during evaluation.
3. Develop a Proof of Concept: Once the process selection is done, you should experiment with RPA tools and technologies to understand their work. Focus on the elements of the process instead of the complete initiative and verify if the bots can deliver the best results. It is the key to creating an effective proof of the complete concept while ensuring that the efforts don’t go in vain.
4. Deploy a Pilot: Run the pilot as soon as you attain conceptual proof as it reduces bot deployment inefficiencies. To ensure that you are investing in the right software, keep comparing the bot’s performance with the manual process regularly.
5. Resource Organization: Companies make cross-functional project teams and gather resources before pilot production to keep business goals in sync. You need an effective strategy considering employee suggestions, potential impacts, and training programs for this.
6. Setting up of an Implementation Plan: A comprehensive implementation plan with a detailed strategy is a crucial part of RPA implementation. You don’t only need RPA developers but a complete team of business analysts, project managers, and operating staff, to monitor the application. But don’t overlook budgeting for deployment while building a strong team, consider maintenance costs and additional software development costs as well.
7. Operate and Monitor: Finally, when your bots are up and running, analyse their performance closely and frequently. You need to make sure that they are not overloaded to drive better operational benefits and increase productivity.

 

Conclusion

RPA can generate various operational and strategic advantages but only if it’s implemented in the right way. It’s not only limited to creating a plan for RPA processes. Companies need an adequate budget and performance monitoring for successful RPA implementation. They must ensure that the tasks are prioritized to deliver expected results. Focus on the broader view of value which is beyond cost as when multiple tasks are needed to be processed differently, complexity gets added to the cost, especially in large enterprises.