5 steps to starting digital transformation with RPA

The bots are here! Robotic software that you can hire and automate so that the backoffice processes in your organization allow the acceleration not only of business lines but of your human talent, allying in a key formula for the new decade. If you are considering adopting Robotic Processing Automation (RPA) to automate repetitive processes in your organization, we present a series of steps to begin the implementation, and thus promote the digital transformation of your company. Adding agility to your processes with cognitive automation is good for companies and their employees. With these five steps, you can determine which areas to focus on and how to avoid the pitfalls.

Cognitive automation can transform your business by replacing manual processes with speed and accuracy. This will free your employees to do more innovative work. This is the path to a total digital transformation. According to Automation Anywhere, global spending on cognitive automation and artificial intelligence (AI) systems is expected to reach $ 77.6 billion in 2022.

These are 5 of the best practices you should know to transform your business:

• Identify a high return on investment process

• Choose your cognitive process wisely. According to Ernst & Young, up to 30% of initial cognitive RPA implementations fail. Avoid this result by choosing a process that allows you to take beginner steps where you can learn. And if your attempt goes wrong, it does not reduce critical business operations.

• Reach an important business area and obtain management commitment

• Apply cognitive automation to accounting, payroll, finance, human resources, legal or shared services operations, all offer an entrance to the innovative world of cognitive automation. Business leaders in these units recognize the importance of cognitive automation to eliminate manual processes, increase efficiency, increase return on investment and free the labor force from legacy systems that consume a lot of time. Go ahead, select a business unit and get top management acceptance along with IT to implement success.

• Select variety of documents to train your cognitive system

• When you start training your cognitive system, remember that cognitive computing is hungry for data. As such, the more data you provide, the more accurate the results. For example, if you are automating invoice processing, provide a good sample of invoices from various vendors for the system to learn, since the design and field labels may vary from company to company.

• Show a fast ROI for a key process

• Focus on automating a key process that will provide you with a respectable ROI in no time. Choose between the processes that involve many people. Once you have identified an area for transformation with cognitive automation, create a solid business case for it.

• Make it a volume game

• Use the 80/20 rule to keep your initial cognitive automation project manageable. By this we mean that 80% of your success must come from only 20% of the effort. For example, if you are focused on processing invoices in a global company, do not start with invoices from all languages ​​in all locations. Start with a pilot project and refine your approach before climbing. Once you have successfully implemented your initial cognitive automation project, gradually try more complex processes for semi-structured and unstructured data.

Adding agility to your processes with intelligent automation is good for companies and their employees. With these five steps, you can determine which areas to focus on and how to avoid the pitfalls. Cognitive automation can transform your business by replacing manual processes with speed and accuracy. This will free your employees to do more innovative work.