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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

Intelligent Automation is helping businesses reset their plans post the Pandemic

  • 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 technology landscape is converging – adjacent technologies coming to the fore

  • 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 
Key use-cases for Intelligent Automation

  • Document Processing (IDP) 
  • OCR 
  • Pattern Recognition 
  • Text, Audio and Image analytics  
  • AutoML (automated ML model development and deployment)  
  • ServiceOps (ITOps and IT Service Management) 
Four High-level adoption variables

  • Driving business resilience and operational efficiencies 
  • Building digital trust 
  • Industrializing Automation 
  • Preparing for the post-pandemic ‘New Normal’ 
The shift to Hyper-automation

  • 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 
Trends in the India

  • 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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