Blue Prism CEO to Talk RPA at KPMG’s Executive Symposium on Robotic Innovation

Robotic process automation, machine learning, cognitive platforms and advanced analytics are among some of the most important technologies disrupting the business world as we know it. How will these technologies disrupt business models and introduce a new generation of players in healthcare, financial services, legal, and business services?

KPMG’s Executive Symposium on Robotic Innovation will explore these questions on July  28-29 in Chicago. Blue Prism CEO Alastair Bathgate will weigh in on the practical applications of RPA and its impact on the enterprise in a panel titled “A Case for Success: Technology Innovation.” For more information visit the event site here.

RPA and the Rebirth of Reengineering

How is RPA triggering a rebirth in reengineering? Babson Professor Thomas Davenport shares his views by looking at how Blue Prism customer Xchanging has used, and gained from, RPA software. The full article can be found below.

Process Automation and the Rebirth of Reengineering

If you are of a certain age you may remember the idea of “business process reengineering,” a concept that rose and fell quickly in the 1990s. The idea was that information technology could power order-of-magnitude performance gains in broad, sweeping business processes like order management or new product development. I wrote the first article and book on this topic, but not the most popular ones. The late Michael Hammer and Jim Champy promised more radical change than I thought was possible, and managers liked the optimism. My version of this concept was both more detailed and more conservative, but neither of these attributes led to more book sales.

Reengineering largely disappeared for a couple of reasons. ERP systems from vendors like SAP SE SAP.XE -0.53% and Oracle Corp. became the primary process-oriented technology. Instead of redesigning processes from scratch, many companies just used the process designs that those big systems presumed. Some reengineering projects foundered on the rocks of organizational and behavior change. The most cynical organizations used reengineering as a label for massive headcount reductions involving relatively little process change. Overall, reengineering was a high risk, high reward activity. Process improvement approaches like Six Sigma and Lean, which didn’t rely much on new technology and involved less radical change, were more likely to be successful.

Now, however, there’s a good chance we could see the rebirth of reengineering based on a single new technology: process automation (sometimes called “robotic process automation,” a term which seems to me both inaccurate—since it doesn’t involve robots—and redundant). My Babson colleague Bala Iyer and I wrote a column about this technology last week as a possible driver of process repatriation—bringing offshore outsourced processes back home. It could also foster a new round of reengineering.

Do organizations still need to improve their processes? Of course they do. Every aspect of work needs occasional examination and can be improved. Six Sigma and Lean have flagged a bit in many organizations. And those concepts never included any approaches to redesigning work with the aid of technology.

ERP is still around in most large organizations and it still supports broad processes, but it left untouched many areas of business. And it assumed that people did the data entry and responded to system outputs. Process automation technologies don’t replace those systems, but interact with them at the presentation layer—just as if a human were at the keyboard.

What should be different in this round of reengineering? Well, I risk echoing my conservative approach to the topic in the 1990s, but it should be somewhat less ambitious. Very few organizations ever achieved the “10X” improvements promised in the past for reengineering, and they found it just as difficult to redesign a broad process from end to end. Those types of radical improvements are just too difficult for most companies to pull off, and they gave reengineering a bad name.

Most of the process automation projects thus far have been much more pragmatic. They involve relatively modest-size processes, most of which are back office activities. If you’re using process automation simply to support the process of replacing a customer’s lost ATM card, for example, you’re much more likely to succeed than if you’re taking on the order-to-cash process. The performance gains aren’t tenfold, though they often yield 30 or 40 percent improvements in the cost and time to perform a process. A set of case studies compiled by process automation vendor Automation Anywhere suggests that this level of improvement is typical.

Even with this more modest approach, the benefits of a broad approach to process automation can add up quickly. A London School of Economics case study (download with registration here) found that as of April of this year, the company had automated over 160 process areas involving between 400,000 and 500,000 transactions. The overall ROI of this technology was between 650 and 800 percent. That’s a better payoff than most companies achieved from either reengineering or Six Sigma.

There is certainly organizational change involved with this form of reengineering too, and it may eventually lead to layoffs. But most of the companies I’ve observed have redeployed workers to other roles. Human employees’ initial mistrust of automation tools gives way to relief that boring work is being done by a machine. At Xchanging, a process outsourcing company in the UK, the “robots” were given cute names like Poppy (after the poppies people wear in that country on Remembrance Day, when the machine went live) and Henry. The anthropomorphizing of these smart machines suggests that workers don’t seem to find this form of automation particularly threatening.

The need for IT-enabled process change never goes away, but for some reason it ebbs and flows over time. The advent of process automation technology may well drive another era of flow. The flow of actual process improvements will probably last longer this time if vendors, consultants, and management authors exercise some restraint in their expectations and comments about this new version of reengineering.

Thomas H. Davenport is a Distinguished Professor at Babson College, a Research Fellow at the Center for Digital Business, Director of Research at the International Institute for Analytics, and a Senior Advisor to Deloitte Analytics.

LSE on RPA: A Q&A with London School of Economics Professor Leslie Willcocks

For several months now London School of Economics (LSE) Professor of Technology Work and Globalization Leslie Willcocks and his colleague Mary Lacity, University of Missouri Curators’ professor and visiting professor at LSE, have been hard at work on a series of case studies that examine how Robotic Process Automation (RPA) has been deployed across industries  (find the first two published case studies here). We recently conducted a Q&A with Professor Willcocks to gain greater insight into their growing interest in the field and the findings of their research.

BP: There are a lot of varying definitions of robots and, as a result, some confusion in the market about Robotic Process Automation. How do you define it?

LW: For some, the term “Robotic Process Automation” may conjure up the image of shiny, human-like robots moving about the office. In reality, RPA really is just software that can be made to perform the kinds of administrative tasks that otherwise require stop-gap human handling. The quality that makes it robotic is the utility of a machine to stand in for a human worker and handle disparate, discrete chores. One “robot” equals one software license and typically that robot can perform structured tasks equivalent to two to five humans.

BP: Many may argue that this is just business process automation. Would you agree?

LW:  No, the application of RPA differs from classic business process automation in two important areas. First, the developer hoping to automate a task does not need to have programming skills. For example, business operations people who have process and subject matter expertise but no programming experience can, with only a few weeks of training, start automating processes with RPA-enabled software robots. Second, RPA does not disturb underlying computer systems. Robots access other computer systems the same way humans do—through the user interface with a logon ID and password—and there is no underlying systems programming logic. It truly is “lightweight IT.”

BP: Why is RPA emerging as a viable solution now?

LW: If you were to look inside the operations of any large organization today, you’d quickly see how little time their knowledge workers are actually spending on higher-order thinking tasks. Many companies have realized this and attempted to resolve it by doing one of two things: automate or informate, as pointed out by Shoshana Zuboff. Many have tended toward the former – transferring tasks from the hands of workers to machines, rather than endowing people with greater capacities and having them work symbiotically with technology. As a result, workers now spend substantial time dealing with what John Gall called systemantics — the quirks and shortcomings that are just as endemic to systems as their strengths. For example, it is a systemantic problem that the typical automated operations system (e.g., Enterprise Resourcing Planning, CRM, or e-commerce) is unable to complete a whole process end-to-end. For the technology to deliver value, knowledge workers must conduct menial tasks like extracting and moving massive amounts of data from one system to another, and they want to be liberated from such highly-structured, routine, and dreary tasks to focus on more interesting work. Robotic Process Automation (RPA) is giving them that opportunity.

BP: What do you view as the biggest business benefits of RPA?

LW: Thanks to its ease of use and lightweight operation, RPA adoption can originate inside business operations, rather than requiring heavy Information Technology (IT) department involvement and buy-in. And because RPA projects do not require expensive IT skills, the threshold of processes worth automating is considerably lowered. Even if a monotonous task is not being conducted by a large number of human staff, RPA can economically delegate it to robots.

Take, for example, one of the companies we studied as part of our RPA research: UK mobile communications provider Telefónica O2. The company deploys more than 160 robots to process between 400,000 and 500,000 transactions each month. This not only yielded a three-year return on investment of over 650 percent, but did so by training only four people. In general, early adopters of RPA find that automation radically transforms operations, delivering much lower costs while improving service quality, increasing compliance (because everything the software does is logged), and decreasing delivery times.

Wall Street Journal on How RPA is Disrupting the Workforce

Automation, which uses algorithms and artificial intelligence to do tasks currently done by humans, has the power to reshape the IT services and business process outsourcing (BPO) landscape as we know it. Increased efficiency and high quality of work are just some of the reasons why companies are putting work into the hands of smart machines. Take a look at this article from the Wall Street Journal for more information (also below).

Bringing Outsourcing Back—to Machines

By Thomas H. Davenport and Bala Iyer

Corporations in the U.S. began offshoring work in the 1990s to save costs. The whole logic was predicated on finding cheap labor that possessed adequate knowledge to execute a business process. This is all about to change with automation. Automation, which uses algorithms and artificial intelligence to do tasks now done by humans, could reshape the entire IT services and business process outsourcing (BPO) landscape. We could end up bringing offshored work back to the U.S.—only to put it on smart machines.

Many of the tasks that were outsourced and sent offshore were those that could be specified and monitored easily. When work was hard to specify it was also difficult to write contracts for its completion, so it didn’t get outsourced. Take, for example, administrative banking transactions. Banks could specify the workflow and processing logic clearly, and it could be orchestrated via technology. The location of the work no longer mattered, so it went to countries with low-cost labor and good English skills—most frequently India.

Offshore outsourcing became a thriving industry. Today, however, automated systems and “robotic process automation” (we don’t like the term, so let’s just call it “process automation,” shall we?) are performing structured administrative tasks. If smart machines can perform tasks that are outsourced already, work would now migrate to places where automation is prevalent. As it turns out, the US is the leader in automation, as well as the biggest consumer of offshore outsourcing. That suggests a tectonic shift in the economic landscape for outsourcing buyers and sellers.

Such a dramatic change has not been lost on large outsourcing firms. Several of them are preparing for this future by entering the automation fray themselves. Cognizant Technology Solutions Corp. recently acquired TriZetto, which has a platform for health-care automation. Wipro Ltd. is using machine learning algorithms to help with its internal help desk support. The firm has now created an artificial intelligence platform called HOLMES that uses computer algorithms to reduce human effort in many of its customers’ industries. Tata Consultancy Services is working on an AI platform called Ignio to help build applications quickly and get more out of its infrastructure management capability. Infosys Ltd. has announced a major investment in automation capabilities as well.

These firms see a more automated future, and want to make money when work is done by machines rather than people. We don’t think their work in this space is too far along, however. There are other startups that are already making this capability available in the marketplace. IPSoft Inc. and Rage Frameworks Inc. in the U.S., and Blue Prism in the UK, are companies that have already delivered process automation offerings to customers. Blue Prism customers Telefonica O2 Ltd. and Xchanging (an outsourcing company spun out of Lloyd’s) have already brought back home some of their offshored work to be done by “robots” (actually computers, so let’s just call them that, shall we?). Rage Frameworks has focused on automated processes for financial services firms. IPSoft has focused primarily on automating IT management processes thus far, but is broadening that focus with its “Amelia” intelligent interaction system.

We spoke with one company, KMG International (a substantial international oil company based in Romania) that has already used IPSoft’s product IPCenter to automate many of its IT management tasks. Marcel Chiriac, the company’s CIO, said that he led an effort in 2013 to restructure an out-of-control outsourcing agreement. One aspect of it involved working with IPSoft to automate many straightforward IT tasks, such as network and infrastructure management and gas station technology monitoring. There are automated scripts running on a couple hundred “automatas” (hey, it beats calling them robots) that do things like disk space monitoring and file deletion, automated rebooting of frozen PCs, and setting up new employee email accounts. He showed us a report that 73% of recent trouble tickets were resolved without human intervention. Mr. Chiriac says his company has saved some money by automating some previously outsourced services (even given the low labor costs in Romanian outsourcing firms), but his primary concern is the quality of the service. And that’s been high; not only do trouble tickets get resolved quickly and automatically, but his IT infrastructure has had no unplanned outages in the last 15 months.

Work has already moved around the globe to exploit labor arbitrage. In the future, owners of these automation platforms may dictate where work gets done. One driver will be where data scientists and automation programmers are most easily found. With many of these platforms originating in the U.S., outsourcing will come full circle. Labor costs forced the US to send work to distant shores, but it may be pulled back by automation.

Another driver of the location of automated work may be electricity costs and green energy availability. Once automated, the biggest line item in the cost of a process might be computing costs or electricity consumed to keep data centers and computers cool. Cold places with natural energy sources will have an advantage. Perhaps the new center of automated outsourcing will be Iceland!

Thomas H. Davenport is a Distinguished Professor at Babson College, a Research Fellow at the Center for Digital Business, Director of Research at the International Institute for Analytics, and a Senior Advisor to Deloitte Analytics.

Bala Iyer is a Professor and Chair of the Technology, Operations, and Information Management Division at Babson College.