No longer considered a strategic initiative, RPA was the least implemented tech, with document-centric and process automation technologies leading the way.
Employee needs are being put first which is creating a huge ROI for businesses.
Decision makers that are extroverts make bolder technology decisions, but introverts spot their failure earlier on.
According to a recent global survey conducted by Sapio Research on behalf of ABBYY, 98% of IT decision makers have implemented automation technologies in the last two years, spurred by the pandemic. During this time, there has been a behavioral shift in the way IT decision makers implement automation technology with a new ‘people first’ approach. The results reveal less investment in robotic process automation (RPA) with intelligent document processing (IDP) and process automation technologies being the top two deployed technologies. This resulted in a huge 89% believing they have been successful in deploying digitally transforming automations, compared to only 30%-50% in the past when they used RPA alone.
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The pandemic has resulted in many organizations accelerating digital technology adoption plans by three to seven years, with 45% of IT decision makers having implemented three to four automation projects over the last two years. This could be due to customer demand, business survival and a massive opportunity in the market. But when it comes to why the implementation of automation technology has been so successful, it’s clear that the ‘people first’ approach to business decisions has played a key role since the pandemic, and implementing new technology is no longer only about the business, but also increasingly more about the people.
1,208 IT decision makers across the U.K., U.S., France, Germany, and Japan were surveyed. When asked why IT leaders made the investment in the first place:
– 48% answered it was to better prepare for remote working
– 47% to prepare for hybrid working
– 35% to help with employee burnout
– 20% answered pressure from employees to implement.
This is a refreshing turn of events, with the remote workforce becoming a norm for most companies, unhappy workers causing the Great Resignation phenomena, and a work-life balance now a priority. Moreover, McKinsey reports that investing in digital skills for people has become a clear imperative, indicating that employee skills need to match a company’s technology investments.
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Factors contributing to success
30% of IT decision makers said they automated departments that would lead to the most ROI. As a result, IT (59%), finance (37%), and operations (29%) had the most tech implemented, with intelligent document processing (IDP) (44%) and process and task automation (43%) becoming the two most implemented automation technologies in the last two years – while the least implemented was RPA (32%). What’s more, one of the top reasons for automating these departments was to support teams that needed it the most (34%), and clearly the technology was able to fulfill this need.
Additionally, there is a real confidence in intelligent automation technology and not wanting to give up on the projects at the first sign of failure. 62% of decision makers now expect 2x ROI on their investment, and this was largely successful, as 43% claimed 2x ROI was delivered. Before implementing projects, 56% were hoping to improve efficiency and 54% were hoping to increase productivity. So much so, that attracting and retaining customers and employees took a backseat in priorities for IT decision makers, an unusual result which shows that employee retention could be at the heart of decisions above all else currently.
Factors contributing to failures
When it comes to automation projects being unsuccessful, there is again a clear human-centric element. While the reasons behind deploying the technology was people first, businesses claim that the remote workforce (29%) and employees not being trained well (23%) were two of the main reasons for failure. People are now a major part of the decision-making process, yet there’s still the hurdle between decision makers and the people on the ground using the technology as 33% of decision makers are not necessarily tech savvy. Investing in new technology must be intertwined with investing in easy-to-use solutions and training staff to recognize what went wrong if a project was a failure.
The action following failure of automation projects is crucial but could be dependent on human-centric elements, specifically personality traits. The survey affirmed that the C-suite are driving the decision-making process for automation projects, with 60% of CEOs and 63% of CTOs being self-admitted extroverts, suggesting that stereotypically confident leaders are taking the bull by the horns and achieving success with automation projects.
Personality traits influence response to failure
The survey identified introvert and extrovert personality traits can have an effect on the decision following failure. For example, if a project was not a success, 42% of extroverts prefer to bring in external experts, while 42% of introverts would rather replace the technology. Interestingly, it can take up to a year for leaders to spot that a project is failing, which means they are utilizing an inefficient automation project (83%), with 28% of introverts spotting a failure of a project early on compared to 14% extroverts. Going further, 46% of IT decision makers spotted the failure within three months and surprisingly almost 1-in-10 (9%) did nothing about it, illustrating a wasted technology investment more commonly being known as ‘zombie’ technologies. This highlights the importance of businesses understanding the processes and how employees interact with systems before starting an automation project, to set their workforce and business up for success.
Bruce Orcutt, Senior Vice President, Product Marketing at ABBYY, said, “There has been a behavioral shift in the way leaders make decisions about deploying technology, and clearly the human factor plays a huge part in deciding how and where to automate. Additionally, organizations are realizing that automation needs to be more intelligent to understand and comprehend context and content within documents and know how their processes work before automating. This has been a great benefit to business, with a confidence in the technology shining through alongside an increased ROI. We will inevitably witness companies continuing to add more intelligence to their automation throughout their departments as a result of putting people first.”
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