Intelligent Automation
CoE in a Box Driving automation at an industrial scale
To automate or not to automate is no longer a question. Automation is here and now, and organizations are at different stages of adoption. While we have seen organizations succeeding in their automation journey, many of them have not been able to sustain the momentum and achieve scale because of:
No central automation strategy Absence of clear roles and responsibilities, accountability and ownership
Absence of guidelines for organizational risk, governance, controls and change management Inadequate focus on benefits measurement
Why have an Intelligent Automation Centre of Excellence (CoE)? Scaling up Intelligent Automation quickly is fundamental to delivering meaningful business impact. In order to achieve scale and agility and realize the benefits of automation, it has to be driven at an enterprise scale. An Intelligent Automation CoE can facilitate such a strategic and sustained automation program.
Intelligent Automation CoE in a Box EY’s “Intelligent Automation CoE in a Box� solution encapsulates toolkits, frameworks and all the elements essential for instituting and delivering a successful automation program. The solution can help businesses rapidly scale their robotics and automation initiatives.
Elements Structure & Operating Model
Set strategic direction and create the right structure to deliver the automation strategy
Implementation & Operations
Identify, define, deploy and manage automations through standards, guidelines and methodologies
Governance & Reporting
Measure and improve the automation program performance through business and operational metrics
Change Management & Communication
Empower people through skills and communication and increase adoption of automation
Technology & Innovation
Future-proof through sustained innovation and inculcate newer technologies, including ML and AI
Enablement & Controls
Achieve success by managing risks, compliance and security
OCR Optical Character Recognition NLP Natural Language Processing NLG Natural Language Generation
AI ML
Artificial Intelligence Machine Learning
Cross sector experience
The EY Advantage Experience
Our Intelligent Automation CoEs have been deployed at 10+ clients globally
We have experience in deploying Intelligent Automation CoEs in sectors such as BFSI, telecom, CPG, auto, hitech and services.
Comprehensive toolkit
Our toolkit consists of up to 50 methodologies and frameworks essential for running an automation program.
Large scale implementation
Our deployed Intelligent Automation CoEs are now managing more than 1,000 bots.
Preparing for the future
Our Intelligent Automation CoEs are being enabled to develop and run advanced automation technologies, such as OCR, NLP, NLG and ML.
Approach Understand
Understand
client operations and automation construct
Adapt
Adapt
Intelligent Automation CoE in a Box
elements for the organization
Deploy Intelligent Automation CoE methodologies
Deploy
and frameworks; train the stakeholders on
CoE proceses
Case studies A leading American conglomerate We designed and rolled out a hub and spoke Intelligent Automation CoE to enable a multi-function RPA transformation. A global beverage company We developed a comprehensive RPA strategy and COE construct to help the global major embark on its Intelligent Automation journey A global telecom company We designed and set-up an Intelligent Automation CoE to help the telecom giant drive their automation program at an industrial scale
EY Intelligent Automation Helpdesk If you would like to know how Intelligent Automation can create an impact on your business, please contact ask.automation@in.ey.com Visit ey.com/in/intelligentautomation to know more
EY India Leadership Milan Sheth
Kamalanand Nithianandan
Partner & National Leader, Intelligent Automation Office: + 91 22 6192 0000 Email: Milan.Sheth@in.ey.com Mobile: + 91 98 2034 9132
Partner, Technology Sector Office: +91 80 4027 5000 Email: Kamalanand.N@in.ey.com Mobile: +91 9845 129 869
Vijay Shankar
Sandeep Parikh
Partner, Intelligent Automation Office: +91 8067 275 076 Email: BVijay.Shankar@in.ey.com Mobile: +91 9900 344 228
Chief Technology Lead, Intelligent Automation Office: +91 11 6671 8000 Email: Sandeep.Parikh@in.ey.com Mobile: +91 9899 966 262
Nikhil Sharma Partner, Technology Sector Office: +91 22 619 24710 Email: Nikhil.Sharma@in.ey.com Mobile: +91 9999 611 168
Ernst & Young LLP EY | Assurance | Tax | Transactions | Advisory About EY EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients. For more information about our organization, please visit ey.com. Ernst & Young LLP is one of the Indian client serving member firms of EYGM Limited. For more information about our organization, please visit www.ey.com/in. Ernst & Young LLP is a Limited Liability Partnership, registered under the Limited Liability Partnership Act, 2008 in India, having its registered office at 22 Camac Street, 3rd Floor, Block C, Kolkata - 700016 Š 2017 Ernst & Young LLP. Published in India. All Rights Reserved. EYIN1708-098 (2) ED None This publication contains information in summary form and is therefore intended for general guidance only. It is not intended to be a substitute for detailed research or the exercise of professional judgment. Neither Ernst & Young LLP nor any other member of the global Ernst & Young organization can accept any responsibility for loss occasioned to any person acting or refraining from action as a result of any material in this publication. On any specific matter, reference should be made to the appropriate advisor. RS
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