Cognitive Software Delivery Using Intelligent Process Automation (IPA) Fernando Beno, Senior Consultant Magesh Mani, Manager Suresh Ramanan, Director Cognizant Technology Solutions

IPA Key Takeaways Abstract “Intelligent process automation (IPA)” is fast emerging as a digital industry game changer to counteract the challenges of traditional automation Intelligent Process Automation (IPA) provides the capability to meet increasing demand for efficiencies in SDLC automation by leveraging capabilities of Humans and BOTS together IPA 1 Adopting ‘digital first’ strategy in line with IPA 2 Balancing the golden triangle (people, process and technology) for IPA success 3 Integrated process & tool architecture (PTA) as a critical IPA success factor Key Takeaways 4 SDLC intelligent automation roadmap using the process tool architecture 5 IPA scenarios and case study

Theoretical Extrapolation Long Range Planning Roadmap KEY ELEMENTS OF PAPER Intelligent Automation Capability Model Capability Model 1 IPA Assessment Steps & Indicative Outputs Assessment & Outcomes 2 Theoretical Extrapolation Sample Scenario: IPA to Improve Inception Phase 4 POC Case-Study Implementation Case Study for Leading Healthcare Co., 5 Long Range Planning Roadmap Illustrative IPA based SDLC Automation Roadmap 3

‘ PROCESS TOOL ARCHITECTURE ’ DESIGN AS CORE BASE FOR IPA “ By 2018, It is expected that most of the world's largest 200 companies will exploit intelligent apps that use big data and analytical tools to refine their offerings and improve their customer experience ” ‘Digitally First’ Demands User Centric Analytics Driven SMART Spend “ A Process - Tool Architecture (PTA) is key for Intelligent SDLC automation as it cascades the IT Process-tool blueprint to enterprise business processes ”

E2E IPA IMPLEMENTATION PATHWAY

Optimized Operating Expenditures Digital Dream Realization BENEFIT REALIZATION & BEYOND… Optimized Operating Expenditures Digital Dream Realization Reduced Capital Expenditures Rapid IT Service Delivery Enhanced Data Safety & Security “ The future of SDLC automation lies in the strength of its evolution This marks the beginning of a period where Human intelligence centrifugally merges with unlimited BOT capabilities to unleash the aperture to endless possibilities We do not have to wish for it, It is already here! ”

Level 2: I Can Think For You Level 3: I Know What You Want INDICATIVE INTELLIGENT AUTOMATION CAPABILITY MODEL Level 1: I Can Do For You Level 2: I Can Think For You Level 3: I Know What You Want I Know What You Want Artificial Intelligence enabled automation Self-learning and optimized BOTS Advanced analytics, Big data synthesis and analysis 3 I Can Think For You Built in knowledge repository Predictive Analysis, Learning capabilities, pattern recognition in place 2 I Can Do For You Inconsistent, activity based automation Macro Script based automation (repetitive tasks automated, data collection and data integration in place) 1

References & Appendix “A guide to robotic process automation,” Deloitte- Operations Articles, https://www2.deloitte.com/us/en/pages/operations/articles/a-guide-to-robotic-process-automation-and-intelligent-automation.html “Intelligent Process Automation,” Cognizant – Latest Strategies, https://www.cognizant.com/strategies/Intelligent-Process- Automation  “Automate this - The business leader’s guide to robotic and intelligent automation,” Deloitte Documents Process and Operations, 2017 https://www2.deloitte.com/content/dam/Deloitte/us/Documents/process-and-operations/us-sdt-process-automation.pdf  “Understand the Impact of Intelligent Automation Services on IT Service Providers' Strategy,” Gartner Recommended Reading, November 2016, https://www.gartner.com/doc/3500218/understand-impact-intelligent-automation-services  “Talent Augmentation through Intelligent Process Automation, Smart Robots Extend Capabilities and Creativity of Smart Humans,” Cognizanti – Volume 8 Issue 1 2015, https://www.cognizant.com/whitepapers/talent-augmentation-through-intelligent- process-automation-cognizanti11-2.pdf  “Intelligent Automation from Here to There,” Digitally Cognizant Blog, July 2016, http://digitally.cognizant.com/intelligent- automation-from-here-to-there  “Intelligent Automation: Where We Stand - and Where We’re Going,” Cognizanti – Volume 9 Issue 1 2016, https://www.cognizant.com/whitepapers/bots-at-the-gate-intelligent-automation-where-we-stand-and-where-we-are-going- cognizanti12-codex2096.pdf

Author Biography Beno is currently part of Cognizant’s Process and Quality consulting practice. With more than 12 years of experience, he has led and managed consulting engagements across varied geographies focusing on IT process review and optimization, industry based assessments/benchmarking and operationalizing governance models for organizations. He can be reached at Fernando.Beno@Cognizant.com Magesh is a seasoned Process Consultant with 16+ years of IT consulting. He has provided consulting solutions across IT Landscape ranging from Service Management, IT Governance, Globalized Process Standardization & Harmonization, Running IT as Business model, Application Lifecycle & Portfolio Management. He has a deep understanding of process governance across domains including Healthcare, Retail, Life Science and Manufacturing. He can be reached at Magesh.Mani@cognizant.com Suresh Ramanan is a Director- Consulting within Cognizant Business Consulting’s Process & Quality Practice. He has 17 years of experience in successfully leading and managing large business/IT life cycle transformation using Lean & Agile principles. Suresh holds a Master’s degree in engineering management from the Birla Institute of Technology and Science (BITS, Pilani), India. He can be reached at Suresh.Ramanan2@cognizant.com

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