Intelligence Automation: Why it is the Undeniable Need of the Hour?

Digital transformation is not a new buzzword. It is so common that be it board room conference meetings, universities seminar, or business magazines, one must have heard about it at least more than once. And in this chaotic commotion, people are getting further confused. They keep on contemplating whether they should implement all processes at once or do not know where to start with—this leads to utter failure and frustration, which may bring stagnancy to business while its competitors thrive. Without the ability to harness the maximum potential of a skilled workforce and technology, it can render businesses out of the race. However, we do have a panacea for this: Intelligent Automation!

Intelligence Automation, simply put, is an integration of artificial intelligence and automation. It allows machines to process more than just data and is already helping business firms to surpass traditional work functions. This helps organizations arrive at unparalleled levels of efficiency, excellence, and empower rapid end-to-end automation processes. Initially, it was limited to the manufacturing process but now has spread across other industries too. This framework of IA is supported by four pillars viz., Business Process Management (BPM), Robotic Process Automation (RPA), Artificial Intelligence (AI), and Integration platforms.

Each of them has a key role in successful digital transformation. BPM automates the corporate level processes via coordination and connection among users, tasks, and systems. RPA reduces human intervention in mundane, tiresome, monotonous tasks. AI tries to mimic cognitive learning and reasoning like humans to deliver automated and intelligent insights and flexibility in organizational success. And lastly, integration solutions platforms between various systems and companies find solutions to common issues and prevent data duplicity and redundancy. To enable smooth integration, companies generally provide an Application Programming Interface (API) to interact with, those are based on standards like SOAP (applied in Web Services) or REST (based on HTTP protocol).

The old edifice of heavy dependency on manual labor was dismantled years ago. The revolution has started. It is important to be ready for adoption. IA surely fills these gaps. Therefore, it does require immediate attention to prevent companies' productivity hitting rock bottom in future emergencies. It further provides additional benefits like high-quality customer experiences while generating real-time context for each intuitive interaction.

Automation lightens the burden on employees, thereby allowing them to shift focus on other important and complex tasks. IA-based operations allow a superior degree of scalability and flexibility at marginal costs than conventions methods. Besides, employing IA capabilities enables businesses to better integrate data systems into existing process management tools. Even if the organization collects unstructured data, AI can be immediately pulled in to decipher patterns, spot inconsistencies, check for correctness and convert the data into a format understood by bots. This can help businesses to gain prescriptive and predictive analytics from the same set of data. So to sum up, governing bodies should try to revamp themselves.

To achieve this, they need to deploy a smart interaction approach that shall address individual needs and improve contact resolution rates. Along with that, they must elevate their cybersecurity protocols without any compromise.

While IA is still an abstract concept for many, companies need to familiarize themselves with the advantages and implantation procedures. Today's customers are increasingly tech-savvy, and so are their tailored demands. Therefore, the need of the hour is to produce high-quality outputs for top-notch customer satisfaction with less operational risks and increased capacity to handle higher business volumes. Only then we can have proper digital transformation with icing of optimization.