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Automation Solutions: Latest Trends in 2021

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The pandemic has become one of the main reasons for the change that many businesses have had to face. To keep afloat, they are automating their workflow.

In this article, you will learn about the latest trends in automation, the benefits of robotic process automation, artificial intelligence services, and much more.

Automation Solutions in 2021

Usually, automation is perceived on par with efficiency, since it is aimed at improving some processes and making them easier. For example, simplifying routine tasks, improving the overall business performance, and maximizing the results.

In the context of information technology, this means breaking down into details the systems and environments that are difficult for a simple user to understand. We are talking about scalable container launch, multi-cloud and hybrid cloud infrastructure management, and cloud navigation. Automation is crucial for keeping both internal and external environments as simple as possible.

Most of the experts are united in their vision of the future trends in automation in 2021 – they will be aimed at making the work of people, processes, and tools simpler. Moreover, as the volume of work with native cloud technologies grows, the task of automating all work processes becomes relevant. As part of its solution, managers will be able to form teams and distribute specialists more flexibly.

What Does the Automation of Business Processes Give Companies?

The main idea behind all automation projects is to collect as much relevant data as possible, automate certain actions, reduce the likelihood of errors by eliminating manual labor, and save money.

Automation is not an attempt to replace people with soulless machines; in practice, it is, on the contrary, a way to enable people to work more efficiently, faster, and focus on interesting creative tasks, bringing more value.

Latest Trends in Automation

Business process automation is carried out in different ways. It depends on the field of activity, on the number of personnel, on the financial capabilities of the organization. But there are general trends:


The use of AI in the field of business process automation did not begin yesterday, but it is in 2021 that the technology is expected to find widespread use in commercial enterprises.

Hyper-automation is the term for the introduction of advanced AI and machine learning technologies to increase employee productivity and improve the overall efficiency of the enterprise. Such technologies are expected to be significantly more efficient than traditional automation tools. Business processes based on artificial intelligence services must flexibly adapt to changing circumstances and provide an adequate response to unexpected situations, hence the need for AI.

Hyper-automation engages business analysts, industry experts, and end-users, allowing people to work side-by-side with machines and advance the hyperautomation market.

Robotic Process Automation (RPA)

RPA and bots are the most talked about trend. Several years ago, some tried to view bots as an alternative to BPM due to the faster implementation and adaptation. According to many experts, the future belongs to the synergy of BPM and RPA.

RPA is increasingly being used to help employees perform their day-to-day tasks more efficiently. One of the benefits of robotic process automation is that by automating traditional tasks, businesses can eliminate human error while increasing the efficiency.

Bots and RPA are a strategy that has a quick but limited effect, and BPM has a stronger effect – not just an increase in employee productivity, but higher quality for customers – but delayed in time.

Over time, BPM and bots will learn to work together and ultimately become part of the digital business platform, which will ensure timely delivery of complex results for the business with a high level of visualization.

Internet of Behavior (IoB)

The Internet of Behavior is useful for humanity to adapt behavior to certain changes. The IoB collects and processes digital dust for digital and physical realities. Its main sources are commercial customer data, social media, locations, citizen data processed by government agencies, and more.

As an example, telemetry from cars helps to analyze the driving behavior of their users. This data is used to optimize or improve vehicles.

Internet behavior has different social and ethical implications depending on the user’s goals. In the future, this issue will be governed by privacy laws, which will differ from country to country and from region to region.

Development of omnichannel retail

Customer service automation assumes an integrated approach that combines offline and online interaction with the consumer. It is assumed that the client can equally use both offline and online purchase formats, switching from one to another without losing convenience. Sales outlets, in turn, exchange data on balances, orders, and shipments.

Mesh technology in cybersecurity

Much data now exists outside of the standard security perimeter, so cybersecurity cells help define this security perimeter around the user and create flexible, scalable cybersecurity governance. This approach is considered more modular by centralizing policy management and dividing the application of the same policies across cells.

Mesh technologies allow people to access any digital asset, regardless of where the asset, or the person, is located. The use of cloud technologies and the departure of employees to work remotely contribute to the fact that many leaders have to look for new approaches to ensuring cybersecurity.

Distributed cloud

The purpose of a distributed cloud is to distribute cloud services across different physical entities, but leave responsibility for the development, use, and management of the public cloud provider. This automation helps with cost savings, low latency scenarios, and compliance with data storage laws.

Self-service systems

Self-service devices for ordering, storing, selling, and issuing checks are ubiquitous for interacting with end-users.

How to Implement Business Process Automation

Implementing automation tools is a process that avoids potential problems. First of all, it is important to pay attention to the planning stage – highlight the business processes that need to be automated and optimized, determine the desired result of the implementation of the appropriate tools.

After the actual stage of implementation of automation services, it is necessary to analyze its results and understand how they correspond to the expectations – and how correctly these expectations were formulated. In the future, you will have to optimize already automated processes to achieve even greater efficiency.


Automation is a powerful way to make complex processes easier. Including, for example, solving problems with remote work and information technology management in the cloud. As automation solutions evolve, businesses will have even more choices, while increasing the efficiency and saving the time. Contact us to discuss possibilities for your business.

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