What are the most effective ways to scale up RPA across functions and regions?

2 Establish a cross-functional and cross-regional governance structure

Another key step to scale up RPA is to establish a cross-functional and cross-regional governance structure that can oversee and coordinate the automation efforts across the organization. You need to have a clear vision, roadmap, and framework for RPA, and assign roles and responsibilities to different stakeholders, such as business owners, process experts, IT support, RPA developers, and end-users. You also need to establish standards, policies, and guidelines for RPA development, deployment, maintenance, and security, and ensure compliance with local regulations and requirements. By establishing a cross-functional and cross-regional governance structure, you can ensure that your RPA initiatives are consistent, scalable, and aligned with best practices.

3 Leverage a centralized and cloud-based RPA platform

A third step to scale up RPA is to leverage a centralized and cloud-based RPA platform that can support the automation needs of different functions and regions. You need to have a single platform that can integrate with various applications and systems, and provide a unified and user-friendly interface for RPA development, deployment, management, and monitoring. You also need to have a cloud-based platform that can offer scalability, flexibility, reliability, and security, and enable remote access and collaboration. By leveraging a centralized and cloud-based RPA platform, you can reduce complexity, duplication, and fragmentation, and increase efficiency, agility, and performance.

4 Foster a culture of innovation and collaboration

A fourth step to scale up RPA is to foster a culture of innovation and collaboration among your employees and teams. You need to communicate the benefits and opportunities of RPA, and provide training and support to help them adopt and embrace the technology. You also need to encourage them to share their ideas, feedback, and best practices, and involve them in the design, testing, and improvement of RPA solutions. By fostering a culture of innovation and collaboration, you can increase engagement, satisfaction, and productivity, and create a positive and continuous feedback loop for RPA.

5 Optimize and automate end-to-end processes

A fifth step to scale up RPA is to optimize and automate end-to-end processes that span across multiple functions and regions. You need to analyze and map the current state of your processes, and identify the gaps, inefficiencies, and bottlenecks that can be eliminated or improved by RPA. You also need to design and implement RPA solutions that can automate the entire process flow, and integrate with other technologies, such as artificial intelligence, machine learning, and chatbots, to enhance the capabilities and outcomes of RPA. By optimizing and automating end-to-end processes, you can maximize the value and impact of RPA, and deliver better results and experiences for your customers and stakeholders.

6 Monitor and evaluate RPA performance and outcomes

A sixth step to scale up RPA is to monitor and evaluate the performance and outcomes of your RPA initiatives, and make adjustments and improvements as needed. You need to collect and analyze data and metrics that can show the efficiency, accuracy, quality, and cost-effectiveness of RPA, and how they contribute to your business goals and strategy. You also need to solicit and incorporate feedback and suggestions from your employees, customers, and partners, and identify the challenges, risks, and opportunities for RPA. By monitoring and evaluating RPA performance and outcomes, you can ensure that your RPA initiatives are delivering the expected benefits and value, and identify the areas and ways for further scaling and optimization.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?