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

2. 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

3. 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

4. ‘ 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 ”

5. E2E IPA IMPLEMENTATION PATHWAY

6. 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! ”

7. 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

8. References & Appendix
“A guide to robotic process automation,” Deloitte- Operations Articles,
“Intelligent Process Automation,” Cognizant – Latest Strategies, Automation
 “Automate this - The business leader’s guide to robotic and intelligent automation,” Deloitte Documents Process and Operations, 2017
 “Understand the Impact of Intelligent Automation Services on IT Service Providers' Strategy,” Gartner Recommended Reading, November 2016,
 “Talent Augmentation through Intelligent Process Automation, Smart Robots Extend Capabilities and Creativity of Smart Humans,” Cognizanti – Volume 8 Issue , process-automation-cognizanti11-2.pdf
 “Intelligent Automation from Here to There,” Digitally Cognizant Blog, July 2016, automation-from-here-to-there
 “Intelligent Automation: Where We Stand - and Where We’re Going,” Cognizanti – Volume 9 Issue , cognizanti12-codex2096.pdf

9. 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
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
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

10. Thank You!!!