Automation With Artificial Intelligence Today

Automation With Artificial Intelligence – Various organizations are trying to adopt robotics to automate iterative processes and are trying to scale these solutions with artificial intelligence, in order to achieve a more fully digital way of working.


2019 to be precise in May, Deloitte surveyed 523 executives in various industries in 26 countries around the world, including in Africa, America, Asia, and also Europe about how smart automation strategies and the company workforce.

The results of the analysis found that these organizations are not only continuing to use robotic process automation, but are also moving beyond it by increasing the adoption of intelligent automation.

58 percent of executives surveyed said they had started their automation journey.

Of these, 38 percent piloted 1 to 10 automations, 12 percent implemented 11 to 50 automations and another eight percent automated on a scale of 51 more automation, which is twice as many as last year.

Organizations believe they can change their business processes, achieving greater speed and accuracy by automating decisions based on structured and unstructured inputs. 

They expect an average payback period of 15 months and in the scaling phase only nine months.

Process fragmentation was seen by 36 percent of survey respondents as a major barrier to implementing smart automation. IT readiness is considered a major barrier by another 17 percent of organizations.

Automation success factors

Analysis of survey data reveals that organizations that adopt intelligent automation on a large scale share six distinguishing characteristics:

  1. a company-wide approach to intelligent automation that aids in increasing the capacity of the workforce, lowering costs, and increasing revenue.
  1. When RPA and AI were combined, revenue grew by an average of nine percent, compared to three percent for companies who didn’t use the two technologies in conjunction.
  1. There is a 21% reduction in costs when a business has these capabilities due to improvements in technology, infrastructure, and cybersecurity.
  1. The average increase in back-office labor capacity was 19% among firms with mature process definitions, standards, and processes, compared to a 12 percent rise among organizations without.
  1. An average cost decrease of 21 percent compared to 15 percent in organizations with a less clear understanding of how to capture value.
  1. 73 percent of the large organizations had a need to reduce costs, compared to only 61 percent of the pilot organizations.
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Innovative applications

The power of intelligent automation is unlocked when robotic process automation (RPA) is combined with artificial intelligence (AI) to enable applications that go beyond routine to be innovative. These applications can do anything from collecting and processing data to analyzing and making decisions based on the context of the data. Despite this, nearly half of those who participated in the poll confess that they have not given any thought to or made any effort to develop a smart automation strategy that incorporates AI. Another 36 percent of respondents said they use AI in their strategy, but not to a significant extent. At this time, only 11% of enterprises have scaled solutions that use AI.

Educating and training future AI workers

bolsters the human workforce’s inherent capacity for increased productivity. A more than ninetieth percent of businesses anticipate that it will increase the capability of their employees. They anticipate a capacity increase of 17 percent in their core business activities over the next three years, while they anticipate a capacity rise of 26 percent in their back offices during the same time period. 44 percent of firms have not evaluated how the responsibilities and tasks of their staff, as well as the way in which tasks are performed, will change as a result of intelligent automation, despite the fact that intelligent automation gives chances to boost productivity.

In addition, about two thirds of companies have not given any thought to the percentage of their workforce that may require retraining as a direct result of the increased use of automation. Even organizations that have automated scales (51+ automation) haven’t thought about this, with 53 percent stating that they haven’t explored whether their workforce needs to be upskilled as a result of their automation strategy. This is despite the fact that the majority of organizations have automated scales.

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In order to make the most of the anticipated capacity increases, the organization’s preparations for the adoption of intelligent automation should include retraining based on how the human workforce will interact with machines. This should include adjustments to position definitions. However, 38 percent of companies have not provided employees whose jobs have been altered with updated training.

Redefining work

Because intelligent automation has opened up new possibilities, work needs to be redefined in terms of the outputs and problems that need to be solved by the workforce rather than the activities and tasks that need to be completed.

team performance is determined not by the subordinates they supervise but by the interactions that people participate in and how they drive one another.

the instruments and technologies that automate work and augment the workforce in order to boost productivity and increase value for consumers

the incorporation of fresh experiences, new learning, and ongoing development into routine (and frequently real-time) routines.

Finding talent

It is difficult to discover the talent that is necessary for automation: fifty-nine percent of those who have automated a process say that they do not have the essential workforce capacities and skills.

The available skill pool is becoming smaller as a result of demographic trends. It is estimated that by the year 2028, there will be up to 8 million fewer people actively employed in Europe than there are today.

But in recent years, the connection between workers and many different types of organizations has shifted, making it possible for workers to have jobs that are full-time, part-time, contract, freelance, or gigs. During the process of automating processes and scaling up operations, companies should make increasing use of a “alternative workforce” that provides rapid access to highly qualified individuals for a limited period of time.

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A labor force that is encouraging

There is a prevalent belief that automation will eventually lead to the elimination of jobs. On the other hand, seventy-four percent of respondents to the poll felt that their workforce supports or strongly supports their smart automation plan. As companies advance further along the path toward automation, there is a good chance that the perceived levels of support from stakeholders will increase dramatically. Only 12 percent of executives working in firms that were implementing or scaling reported that their staff was unsupportive, but 32 percent of executives working in pioneering organizations claimed that their workforce was unsupportive.


It indicates that intelligent automation will make significant progress in the year 2020. Businesses have been focusing on low-value prospects for task-based automation, and in the future, they will look for ways to include more complex analytics and AI technology into their solutions.

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