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Hyperautomation is the concept of automating everything in an organization that can be automated. Organizations that adopt Hyperautomation aim to streamline processes across their business using robotic process automation (RPA), Business process management (BPM) and intelligent business process management suites (iBPMS), Low Code - No Code tools, Artificial Intelligence (AI), and other technologies to run without human intervention.


Transform your organization and unlock the power of Hyperautomation

We empower organizations by unlocking the potential of Hyperautomation. Our Expertise include Pega, Appian, AI and Machine Learning to provide solutions in areas of hyperautomation such as RPA, BPM and iBPM, Machine Learning and Predictive Analytics.

We help and inspire clients to transform their businesses and excel in the digital world by harnessing the power of Hyperautomation.

Getting started with Hyperautomation


Several steps and components can help organizations navigate their Hyperautomation journey. These steps are as follows:

  1. Gather insights on the processes, workflows, and environment. Use process mining to research how existing processes operate, where gaps, latency and bottlenecks exist, and identify opportunities for digital process automation. To generate a clear view of existing processes, some organizations will create a duplicate model of a process, also known as a digital twin. A digital twin uses technology to duplicate an ecosystem to better visualize processes, inputs, and outcomes, identify areas for improvement, and create efficiencies.

  2. Identify the structured and unstructured data and other inputs that will be needed to accomplish the processes.

  3. Predict outcomes in terms of efficiencies and return on investment (ROI).

  4. Determine the automation platform and automation technologies that best serve your needs, possibly leveraging tools and algorithms that already exist. This may include using RPA, optical character recognition (OCR), AI, and machine learning with other strategic technology tools to design purpose-built bots that will perform the automated tasks.

  5. Automate complex business and technology processes and tasks, often even automating the automated to gain greater efficiencies or further cost reductions.

  6. Use AI tools to achieve the identified tasks, including technologies such as cognitive learning, OCR, and natural language processing (NLP). Low-code or no-code technologies, which use a graphical user interface for configuration, are incorporated to simplify the automation process, requiring less technical expertise and faster deployment.

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