Building future-ready enterprises
with automation
Today’s economy is governed by digitalization as a precursor of growth. Future-ready enterprises function on a scalable, predictive, and experiential outcome-based model, with a foundation of Hyper-intelligent Automation (HIA)
In this perspective by Automation Anywhere and HCLTech, the authors share insights on the potential of HIA as a driver for process transformation across enterprises and industries to capture performance gains and deliver elevated customer and employee experience.
Download the whitepaper
The next-generation purpose to drive best-in-class experiences and seamless operations would be possible with Hyper-intelligent Automation (HIA), a holistic end-to-end automation approach.
Raghu Kidambi
Corporate Vice President
Business Process Operations, HCLTech
To scale automation, you do not just need to improve process efficiency with HIA but also create an organization wide new-age learning process and intelligent operations, supported by continuous learning and reskilling.”
Raj Mistry
Executive Vice President of Sales and General Manager, Europe, Automation Anywhere
The next-generation purpose to drive best-in-class experiences and seamless operations would be possible with Hyper-intelligent Automation (HIA), a holistic end-to-end automation approach.
(Source: Gartner report)
Igniting the ‘intelligent automation revolution’ can help enterprises turn all these roadblocks into stepping-stones to new growth opportunities and future-ready success
80% of Hyper-intelligent Automation offerings will have limited industry-specific depth by the year 2024. This would make it easier to deploy Hyper-intelligent Automation and gain efficiencies
(Source: Gartner report)
Steps to fast-track your automation implementation journey
Being future-ready can enable enterprises to gain sustainable competitive advantage. To do that, these enterprises need to adopt a structured implementation methodology based on the considerations below:
Executive focus from the leadership
ROI based on total cost of ownership licensing, and support
Enterprises must identify all plausible conditions and risks leading to extended processes
Metrics to be related to performance of bots and actual business
Having a Hyper-intelligent Automation first approach
