These days robotic process automation (RPA) implementation is rapidly increasing and typically at the core of modern enterprises' digital transformation initiatives. It enables businesses to reap the benefits of automation without so many investments on legacy systems. Now, it is entering into its next evolutionary phase, Connected RPA, which promises an exhilarating era of collaborative technology innovation.

Connected RPA brings a new generation of digital workforce that has the ability to access and read the user interface of legacy systems to interoperate and harmonize any third-party application. Organizations, with this wholly new approach, can increasingly unleash the combined creativity of the makers, the people that comprehend their business. It can also give businesses the ability to access and make use of leading-edge Cloud, AI, Cognitive and other capabilities. So, they can explore, innovate and build new, disruptive offerings quickly.

By leveraging connected RPA, the new generation of the digital workforce has extensive connectivity capabilities built inside that allows them to learn intelligent automation skills through a wide system of complementary technologies. This could further give them access to create automated processes in their existing applications using a drag-and-drop visual tool and pass it on to their digital labor force to implement them.

Thus, Connected RPA allows an enterprise to not only develop and deploy a digital workforce swiftly and easily but also guarantee secure connectivity between digital workers and the rest of people, processes and systems.

Connected RPA also cements the bridge of the digital entrepreneur gap as most IT departments often spend most of their budget on maintaining and updating processes and systems instead of new initiatives. However, this gap leaves enterprises at risk to more agile competitors who can innovate faster.

So, making use of Connected RPA, an organization can stay ahead of the competition by leapfrogging of technology advancements, removing multi year waits on the IT work queue and evading the challenges of enterprise-wide, IT-led implementation. Furthermore, with connected RPA, clients will also get equipped with an easy drag-and-drop route to orchestrate any past, present or new technology.

What Can be Accomplished with Connected RPA

Collaborating Connected RPA with artificial intelligence and machine learning can deliver outcomes across several domains and uses cases. Insurance companies, for instance, are utilizing automated case handling and resolution for insurance claims, while financial institutions are deploying automated anti-money laundering prevention alongside blockchain and business process management tools.

The integration of Connected-RPA with AI, for customer support, is allowing multilingual, automated e-mail processing for inbound customer inquiries. Many other companies are testing AI tools to scale sentiment analysis, intensity and behavior for customer support and then automatically uplifting requests to a customer representative. Integrating with OCR (optical character recognition) and computer vision, it can automatically validate identity for loan processing or transform secured faxes into searchable, text-embedded formats.

Connected RPA will continue to rise and extend the number of collaborators within an ecosystem including developers, academics and contributors, creating a growing community and intelligence that can share best practices and assist in accomplishing optimum business value. It is also to evolve even as it gets better at delivering autonomous process automation in years to come.