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Scaling and Measuring Robotic Process Automation

Robotic process automation (RPA) represents the next phase in the evolution of the workplace from manual to digital. By combining artificial intelligence (AI) with machine learning (ML), RPA is taking a number of industries by storm, team by team — while business functions like HR and finance are seeing some seriously impressive results.

The idea of the self-service digital worker pays dividends for businesses undergoing this transformation. Traditional automation essentially shied away from empowering workers. But they’re the experts in their respective fields — so why not leverage that knowledge to create better business outcomes all around?

How to scale and create maximum value

For the largest enterprises, increasing value has always been an absolute priority. So how is a company with a 60% compound annual growth rate, a thousand processes to automate, and around 1500 global stakeholders going to achieve this? By scaling.

A business unit may already have implemented RPA. But they all must be measured to ensure they create effective business outcomes. And that’s where the second part of the equation comes into play.

Self-service is a popular trend in business, but it’s evolving to include digital workers as well. So instead of generating a spec, finding funding, getting IT on board, and creating a roadmap, professionals can basically do it themselves. There’s less fatigue, and the solutions practically drive themselves.

Some of BP3’s most successful RPA clients have created template bots using BP3’s best practices to allow groups within the organization to create their own bots. Common bots, like a bot that reads a spreadsheet and inputs the data into a system, are used all over the organization in a multitude of ways.

Creating template bots saves time and money across the organization and allows for employee self-service.

If you want to learn more about how to scale your RPA implementation or best practices in RPA, contact us today.