How Intelligent Automation Drives Digital Transformation

By Published On: August 6th, 2020Categories: Automation, Business Transformation, IT-Security Trends, Technology

When surveyed, 46% of the top CEOs in the U.S. revealed that the primary drivers for their decision to integrate intelligent automation into digital transformation plans were: efficiency and quality.

Digital transformation is the efficient and productive use of technology, people, and processes to deploy quality improvements to fundamental business operations.

Thus, intelligent automation helps businesses transform digitally by building upon said improvements using artificial intelligence and robotic process automation. Furthermore, it helps to achieve immediate requirements of digital transformation like adapting, realigning, and optimizing day-to-day business operations.

In this article, we’ll take a deep-dive into how intelligent automation meets and exceeds said immediate requirements helping to drive business growth through digital transformation.

But first, let’s look at why many organizations are slow to make the transition to digital transformation.

Key Obstacles Facing Digital Transformation

The reliance on legacy systems has become one of the greatest obstacles facing digital transformation. As organizations respond to the growing demand for efficient IT products, services, and processes, digital transformation has become an inevitable fate.

In fact, more than half of the business leaders within fortune 500 companies believe that digital transformation is critical for today’s competitive market because it provides an infinite playing field with scalable potentials to meet the changing customer demands.

However, despite breakthroughs in emerging technologies, achieving digital transformation has proved to be difficult – this is especially true for critical infrastructures.

Most of the difficulties organizations face in their digital transformation journey include challenges of modernizing legacy information systems, such as hardware and software applications, and IT policies and processes, without compromising critical business operations.

How Intelligent Automation Helps to Overcome Digital Transformation Obstacles

For many risk-averse business leaders, digital transformation can be viewed as a risky endeavor to undertake.

Such a stance is understandable because transitioning from traditional processes to digital oftentimes requires a complete overhaul of familiar processes and procedures.

Therefore, concerns relating to compatibility, scalability, and process visibility, tends to form a cloud of obstacles which hovers over digital transformation plans.

When implemented correctly, intelligent automation helps to overcome digital transformation obstacles by enhancing the efficiency of key IT processes thus, enabling organizations to take advantage of opportunities to deliver more value and growth.

As a result, the proportion of organizations using intelligent automation within diverse industries could increase by more than 60% in 2020. This significant increase is attributed to the need for trained employees, operating at full capacity, every hour of each day.

Enhancing Digital Transformation Using Intelligent Automation

Intelligent automation is essential to the digital transformation process. It helps to speed up digital transformation goals, with lower human intervention required and cost-effective methods for implementation.

It’s no wonder that fostering an intelligently automated environment ensures that an organization operates on a proactive footing, thus fueling sustainable business growth.

A well-known use case for intelligent automation is the deployment of Robotic Process Automation (RPA). This use case involves the democratization of intelligent automated endpoint management tools, helping to provide an evolving library of field-proven packages.

Said automated endpoint management tools are synced to private networks and customized to policies, standards, and preferences.

As an example, aiden takes RPA a step further by merging structured artificial intelligence with RPA. This automated, next-generation technology empowers IT processes to make human-centric and end-to-end decisions with very little human intervention.


How Intelligent Automation and Digital Transformation Drive Business Growth

Business leaders understand the importance of staying profitable and relevant to compete in the 21st century.

To do so, it is critical for organizations to adhere to evolving business models, practices, and technologies that provide ease of implementation, maintenance, and minimal operational friction.

Therefore, the proper integration of intelligent automation with digital transformation efforts are capable of driving business growth without increasing overhead expenses by:

  • Minimizing false positives and reducing the risk of fraudulent transactions. This ensures that intelligent fraud detection processes are adaptable.
  • Streamlining large scale research processes by identifying and managing open-source information as well as controlled unclassified information.
  • Identifying and mitigating security vulnerabilities while adapting to an evolving threat landscape, to account for complex risks to critical infrastructures.
  • Managing repetitive IT support processes, thus allowing IT teams to efficiently respond to emergency situations.

Measuring The Benefits and ROI of Intelligent Automation

To measure the real success of intelligent automation efforts, business leaders need to quantify the return on investment and results achieved. As we all know, that’s easier said than done due to the cross-functionality and operational boundaries that exist at any given organization.

However, intelligent automation efforts are ongoing and dynamic in nature, which can oftentimes render traditional business ROI calculations less conclusive.

Nonetheless, being able to quantify success is important for continued investment because simply deploying a technology is not enough.

The benefits of deploying an intelligent automation solution to boost business growth can be quantified via:

  • Optimization of end-to-end processes – using intelligent automation within an IT environment, employee errors diminish since they’re more hands-off. Thus, allowing the automation of key system processes and procedures from start-to-finish without issue.
  • Elimination of mundane IT tasks – intelligent automation allows business entities to redeploy human talent to other critical areas.
  • Ease of integration – intelligent automation enables different technologies to work together, thus ensuring seamless integration and agile workflow.
  • Rapid compliance – deploying intelligent automation makes it easier for an IT team to track and rectify shortcomings that are essential to compliance requirements.
  • New workforce opportunities – intelligent automation helps an organization to uncover new tasks, thus requiring the repositioning of IT talent. This repositioning creates opportunities that require human intervention.

Final thoughts

As we progress in the 21st century, it will become increasingly difficult for businesses to remain competitive without digital transformation. The market has become more customer-centric than ever before, hence customers expect heightened levels of services from businesses.

Therefore, businesses must be willing to adapt to change by employing intelligent automation processes like automated endpoint management to manage digital transformation. To continually satisfy customers, compete with peers, and drive business growth, look to aiden’s next-generation, automated endpoint management technology powered by artificial intelligence.

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