Qentelli's Hyperautomation solutions enable automated decisioning in business work flows through mimicking the human brain and its decisioning patterns, thus bringing maximum throughput from automation. Our Hyperautomation services enables you to rapidly identify, vet, and automate their business and IT processes through a disciplined approach.
Achieving success with process automation initiatives calls for synergies between People, Process, and Technology facets. RPA skills shortage, poor change management, lack of business-IT alignment, ill-defined success criteria, and disregard for infrastructure management considerations are frequently-cited factors leading to failure of automation initiatives.
We bring the right mix of domain knowledge, technology know-how, in house R&D, academic partnership and research together to deliver cutting edge Hyperautomation solutions for our clients. Our commercial models are designed to be outcomes-based, thus ensuring successful outcomes for our clients.
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INSIGHTS ON HYPERAUTOMATION
Businesses have realized that seamless digital experiences are less of a choice and more of a nec
Hyperautomation is a business-driven, disciplined approach that organizations use to rapidly identify, vet and automate as many business and IT processes as possible. Hyperautomation involves the orchestrated use of multiple technologies, tools or platforms, including: Artificial intelligence (AI) Machine learning.
Hyperautomation allows to drive automation at scale in a highly secure environment. It generates quick analytics for monitoring the automated process trajectory. It offers highly accurate output in a scalable environment in a 24x7 mode and improves straight-through processing. As it allows to choose tools of choice for automating at scale, businesses can make use of existing IT investments.
Developing Hyperautomation Strategy?
Hyperautomation is the process of automating work using artificial intelligence & related technologies. Our hyperautomation framework for implementation, best practices, and implementation methodologies ensure scale and resiliency irrespective of the underlying tools and deployment model.