The Distinctive Nature of EvoluteIQ’s RPA Tech: Get The One Thing That Is Missing from Your Hyperautomation Landscape

EvoluteIQ’s RPA-Tech

Robotics, Artificial Intelligence (AI), and Machine Learning (ML) advancements have prompted businesses across every industry to embrace digital transformation and intelligent automation. It has evolved into an business imperative, allowing enterprises of all sizes and markets to enhance productivity, improve accuracy, and free up precious employee resources from time-intensive tasks.

In this regard, the game-changing concept of hyperautomation enablement takes it all to a higher threshold. It contributes to the creation of an environment in which businesses are equipped to do more with less while improving operational visibility and optimizing the employee journey. Instead of focusing on a specific automation technology, hyperautomation relies on the shared synergy of ground-breaking capabilities from a variety of technologies, including robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), and so on. Based on this context, in this blog, we have encapsulated the significance of Robotic Process Automation or RPA, and how EvoluteIQ is uniquely built to enable truly seamless RPA operability and performance.

What is Robotic Process Automation (RPA)?

Robotic Process Automation is a software system tech that anybody can employ to automate digital chores. RPA allows software developers to build software robots, or “bots,” that can take lessons, imitate, and implement rules-based business operations. Users can build bots using RPA automation by studying manual digital behaviour. Robotic Process Automation bots can communicate with any system or app in precisely the same manner that humans do, excepting that RPA bots can work tirelessly, endlessly, way quicker, and with full reliability and accuracy.

The Evolution of Robotic Process Automation:

Robotic Process Automation has progressed a long way from UI testing to the corporate sector and is clearly here now to linger on for a good period. As per Grand View Research, the US robotic process automation market will surpass $12 billion by 2028, rising at a 32.8% CAGR from the year 2020.

RPA began in the 1990s with the automated systems of user interface (UI) testing. Firms had implemented the agile project concept by the end of the 1990s and early 2000s, with one of its core values being the prioritisation of people over processes. They also recognised the need to accelerate their operations in order to keep up with their rivals. As a result of this need, multiple UI testing and quality assurance (QA) automation narratives arose. Furthermore, in the early 2000s, banks and insurance firms were one of the firsts to embody the concept of RPA since it was an effective way to cut paperwork and achieve regulatory compliance.

However, the true turning point for RPA technology happened around 2012, when it was eventually officially recognised by major corporations seeking for ways to cut costs in the wake of the then recent financial crisis and the value of digital transformation. As a result of these factors, RPA has exploded in popularity, with increasing numbers of companies adopting RPA for crucial processes.

What is EvoluteIQ’s USP For More Seamless RPA?

The most distinguishing feature that sets apart EvoluteIQ’s RPA functionality from most others is that it is available as part of the EvoluteIQ enterprise automation platform itself.

This makes it seamless for an automation expert that is building an end-to-end customer and user journey to leverage RPA as needed, instead of having to combine it multiple other external technologies for process, data processing, machine learning or enterprise connectivity.

The RPA capability on out platform is part of the spectrum of features to orchestrate across the enterprise systems; we call this the EIQ connector framework.

For scenarios where there are APIs available or data level integration is possible, the automation expert is able to use those for integration using the same drag-and-drop approach. The API connectors can also be Domain Libraries that can aid in publishing complete Processes/Sub-processes as an Activity/connector, Webservice SOAP connectors for standard endpoints provided by third parties.

EIQ Platform’s RPA based integration, on the other hand, is used by an automation expert when an enterprise is lacking Rest connectors, SOAP connectors, Custom JAVA connectors, etc., or when it is expensive, or when the enterprise seems to use old tech with no API or it has limited functionality.

EIQ Platform – RPA Feature

Another key advantage of leveraging EIQ RPA is the flexibility in scaling the RPA Bots without worrying about ambiguous licensing approach that the first generation vendors have. For instance, let us take a case of enterprise’s account receivables when invoices are not readily available. When the enterprise is closed for security reasons, it becomes a laborious repetitive process. This results in a scenario in which invoices are stored in a different system, such as the web, and employees are required to access it via a remote desktop, look at invoices and extract values, enter them into a form, have it validated, and then push for approval.

As a result, in order to automate and improve efficiency, if the enterprise opted for traditional RPA, in which each bot requires a separate licence, the cost for scaling becomes prohibitively high. However, once an enterprise is on the EIQ Platform, they don’t have to worry about incremental licensing costs. Also, they can continue to use the existing RPA Bots that they may have in conjunction with EIQ RPA Bots.

In summary, the RPA capability on the EvoluteIQ Platform is an integrated inherent feature that seamlessly and comprehensively blends into your ecosystem, resulting in reduced effort for system integration and better agility to scale your automation initiatives.

Contact us today to learn more about the EIQ Platform’s capabilities and how we can assist you in taking your automation journey to a greater standard.

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