Intelligent Automation – Powering end-to-end Business Process Automation at scale

Robotic Process Automation (RPA) technologies have evolved, partly due to the increasing complexities of business and IT processes and partly owing to newer technology interventions – Artificial Intelligence and Machine Learning being the primaries. Front and back-office delineation is gradually blurring, paving the way for a more tightly integrated operations leaderboard. The post-pandemic enterprise needs more than just automating parts or functions. Given the high volume of data generated and its unstructured nature, modern enterprises require application of intelligent techniques that can predict outcomes, recognize patterns, automate customer service, analyze text, images and voice, and hyper-personalize customer offerings.

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Key Findings

Key technology already solving Pandemic-induced challenges, across industries
Driving innovation and competitive differentiation
Design-thinking led process improvements putting the Customer at the center
Improvements are measured as ‘Business Outcomes’ and not just at the individual process level

The scope for Intelligent Automation is expanding as customers take the center-stage and businesses become more data-driven
Low-code, RPA and Artificial Intelligence (AI) are the three major technologies shaping up Intelligent Automation
Hyperautomation market is poised to top US$596bn in 2022, per Gartner’s estimates

Document Processing (IDP)
OCR
Pattern Recognition
Text, Audio and Image analytics
AutoML (automated ML model development and deployment)
ServiceOps (ITOps and IT Service Management)

Driving business resilience and operational efficiencies
Building digital trust
Industrializing Automation
Preparing for the post-pandemic ‘New Normal’

Changing workforce and talent dynamics, real-time data access, and integration of multiple technologies will mark the transition from AI-powered automation to ‘Hyperautomation’
Democratizing application development leveraging Low-code No-code & Citizen Developers
Improving integration of and access to data and storage mechanisms, enabling real-time information

Expectations moving past cost considerations to drive enterprise-wide efficiencies
Adopting ‘whole of enterprise’ approach rather than point solutions
Adoption is driven by GCoEs (Global Centers of Excellence) and Global Capability Centers (GCCs)
Most of the focus is on horizontal functions - HR, Finance, IT, Supply Chain, Logistics
The market is led by global pure-play automation product vendors – Blue Prism, Automation Anywhere, UiPath

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