Building future-ready enterprises with automation

Leveraging Hyper-intelligent Automation (HIA)

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.

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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
Digital 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:

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Ensuring complete control

Executive focus from the leadership

Controlling costs

ROI based on total cost of ownership licensing, and support

Realistic deadlines

Enterprises must identify all plausible conditions and risks leading to extended processes

Measuring success

Metrics to be related to performance of bots and actual business

Continuous support

Having a Hyper-intelligent Automation first approach