Assessing Intelligent Automation for its Transformation Capabilities

Assessing Intelligent Automation for its Transformation Capabilities

Automation has played a vital role in helping enterprises in their digital transformation journey. However, to get the most value out of it, enterprise leaders must develop strategies to assess the transformation capabilities of intelligent automation.

Enterprises have witnessed an upheaval caused by the COVID-19. Hence, to keep their business operational, most business leaders opted for automation tools. They have helped enterprises to make the most value of their efforts. Though some enterprises are catching up with the pace of automation at an increasing rate, most haven’t devised ways to reap the benefits from it for a large time span.

Automation technology provides benefits that enable enterprise leaders to recreate and enhance efficiencies and perform their task faster, and provides scalability. However, as there are too many vendors that claim to offer exceptional robotic process automation (RPA) and intelligent automation, it becomes increasingly difficult to assess whether what they are stating is true.

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Enterprise leaders must develop the ability to assess the technical capabilities of the vendors. Having a clear understanding is required as it is only after PoC (Proof of concept) that they can attempt to scale their intelligent automation programs without worrying about tech limitations emerging going forward.

In fact, a study conducted by Gartner acknowledged the issue as well, stating, “Through 2021, 40% enterprises will have RPA buyer’s remorse due to misaligned, siloed usage and the inability to scale.” Therefore to better assess the vendor capabilities, enterprises must consider the below points for their selection criteria:

  • Comparing the Robot abilities

There’s a major difference between the features and abilities of intelligent automation and RPA vendors’ software robots. Armed with this knowledge, enterprise leaders can successfully achieve their short-term goals. This can also help to strategically transform their work at an enterprise scale with lower risks and fewer efforts.

  • Coding Efforts

Intelligent automation enables IT teams to seamlessly respond to market demands without wasting their time and effort on manual planning tasks. It provides a better way to deliver automated work by implementing an intuitive operating system to train and manage bots.

Hence, if any vendor needs programming expertise for automating each process it should be a red-flag as it contradicts intelligent automation’s promise of ‘operational agility’. This will result in creating code-heavy deployments, boundless debugging efforts and ever-growing overheads. Enterprise leaders should keep in mind that the IT teams are supposed to abide by essential security, governance and compliance standards – and not be laden with more technical debts.

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  • Scalability and Collaboration

For achieving automation-driven transformation at scale, enterprises must put a great emphasis on collaboration. The best way to achieve intelligent automation is having the freedom to use robots as per the requirements and the ability to deliver automated work in a collaborative manner.

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Therefore, enterprise leaders must ask their potential vendors to showcase how the IT teams can centrally draw, design, and ‘publish’ novel ways of automated working and improve as well as deploy the work assets as per their need.

Choosing the wrong intelligent automation technology can significantly decrease the probability of transformation potential and can increase the risks in a digital environment. By following the above advice, enterprise leaders are in a much better position to choose the right vendor whose solutions are tailored for the enterprise’s short-term and long-term goals.