Peak Performance Blog

Since its explosion into business operations over the past 5 years, Robotic Process Automation (“RPA”) has proven to be a tremendous tool for delivering business value. Initially, the main perceived advantage of RPA was cost savings and productivity efficiencies within back-office functions. However, more and more organizations have been elevating the benefits of RPA to another different level by directly improving and accelerating their revenue enablement process and cycle times.

Behind every successful Robotic Process Automation (RPA) program is an outstanding human team. RPA can transform the way an organization does business – freeing human workers to focus on higher-value tasks while cutting costs and driving better productivity, accuracy, and efficiency. But with 30 to 50% of projects failing to achieve desired results, knowing how to staff your RPA team for success is critical for keeping your automation journey from derailing.

The global COVID-19 pandemic is pushing enterprise organizations to innovate like never before. Even business leaders who have been slow to adopt automation technologies are pressuring their IT departments to leverage them as agile solutions for business continuity and revenue enablement. But too many enterprises struggle to accelerate successful RPA implementations, finding themselves stuck in the pre-automation phase or with only a few automations that deliver minimal value. Others have achieved some success but need the bandwidth to move faster.

The last three years were game-changing for robotic process automation. The media and technology analysts published countless articles and studies examining the trend of intelligent automation with RPA software while vendors competed fiercely for new customers the market attracted.

Could RPA be the transformational lifeline that companies are seeking to push their earnings into the black? Given that RPA implementations can be done in a matter of weeks and not months or years, perhaps it might be. Consider this; According to a recent Computer Economics survey on RPA trends, nearly one quarter of large organizations are currently dabbling in some form of Robotic Process Automation (RPA), while investment in RPA shows that that growth should continue for quite some time. In this article we will give you enough reasons why, regardless of your company size, now might be the right time to reboot work with Robotics Process Automation (RPA).

As the Age of Automation revolutionizes business process management, digital transformation experts are heralding Robotics Process Automation (RPA) as a must-evaluate technology – enabling companies to cut costs by an average of 40 percent, streamline operations, and enhance quality of work without changing existing systems.

Look around: We are in the midst of a Fourth Industrial Revolution, and it’s redefining traditional ways of doing business. Emerging automation technologies such as artificial intelligence (AI), Robotics Process Automation (RPA), and cognitive computing are creating a seismic shift in the way humans work.

In a recent interview with Auxis CEO, Raul Vega, Nearshore Americas posed the question: “Is Costa Rica heading for Saturation?”

One of the most blogged about, talked about, and debated topics these days revolves around artificial intelligence and robotics and the myriad ways it’s going to change our lives.

If 2018 was any indication of how big the RPA space was going to be, then projections that RPA spend could reach $2.3 Billion this year and possibly $4.3 Billion by 2022 might be on the low side.

As most of our readers are aware by now, during the past three years Robotics Process Automation (RPA) has emerged as one of the leading technologies in the market for organizations of all industries and sizes.

Implementing RPA solutions has allowed many organizations to see some very powerful results.  In this blog, I will highlight some of the key “lessons learned” from implementing and operating RPA solutions. They are based on our experience in working with both our internal operations as well as with external clients.

In a recent blog post, I discussed the “hype and noise” around RPA, and shared my thoughts that, while RPA is clearly something that is coming to your back office operations, it is still somewhat of a work in progress, and that many organizations are trying to figure out how to get started on their RPA journeys.

You are hearing about it every day. According to HfS Research, there was a 63% growth in the global market for RPA software and services from 2016 to 2017. And there´s no sign of it slowing down.

While Robotics Process Automation (RPA) continues to grow across many industries, many decision makers still haven’t been convinced of the strategic benefits that automation can bring to the enterprise. Misgivings about RPA can emerge from any part of a company. In this article, we will discuss some of the RPA problems excecutives often face and, more importantly, how to overcome them.

Recent developments in Robotic Process Automation (RPA) look a lot like the development of self-driving cars―as seen in the rear-view mirror. RPA has historically involved business process automation with little or no human intervention (unattended) while fully autonomous vehicles are 

I suspect that a high percentage of people reading this article are already familiar with the basics of Robotics Process Automation (RPA), and the significant cost savings and efficiencies that RPA can bring to your organization by automating high volume, transactional processes in multiple functions including Finance, HR and IT. 

In a recent post, I shared 5 Lessons Learned on How to Get Started with Robotics Process Automation (RPA). These lessons ranged from “don’t drink the vendor Kool-Aid” to “embrace your workforce” to “start small.”

It's official, Robotics Process Automation (RPA) has survived the hype cycle and is now one of the leading disruptive technologies of 2017. In other words, RPA is not just a thing of the future, it's a proven technology and already up and running in many organizations. There is a good reason for this. Today, organizations are under pressure to digitize and innovate faster than ever, and automation is one of the key ways to achieve this. To put the market potential into perspective, earlier this year McKinsey released a report stating that 51% of total employment in the US can be automated, while Gartner predicted that the RPA software market would grow 40% year-over-year through 2020.