Three key aspects to make AI successful in your organization

Discover why leadership commitment, a clear business case, and workforce enablement are essential to unlocking AI’s transformative potential. Learn how organizations can internalize change, prioritize ROI, and empower teams through tailored training to fully harness next-generation technologies.

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In this episode of EY.ai Unplugged, Rakesh Kaul, Partner and AI Activation Leader at EY India, outlines three strategic priorities to drive better business outcomes using AI and GenAI. Discover why leadership commitment, a clear business case, and workforce enablement are essential to unlocking AI’s transformative potential. Learn how organizations can internalize change, prioritize ROI, and empower teams through tailored training to fully harness next-generation technologies.

Key takeaways

Leadership commitment – Executive awareness and a long-term vision are critical for AI success.
Strategic investment – A clear focus on ROI ensures AI initiatives align with business objectives.
Workforce enablement – Reduce adoption friction with user-focused, immersive training programs.

For your convenience, a full text transcript of this podcast is available on the link below:

Rakesh

Welcome to the latest episode of the EY.ai unplugged series. I am Rakesh Kaul, Partner at EY, and I am responsible for activating AI initiatives for EY India.
Today I will talk about three priorities that can help organizations deliver better business outcomes using AI and GenAI.
First and foremost, the priority is to obtain leadership commitment. This is critical for the success of AI and GenAI initiatives, since the change is not merely about implementing a new technology.
It is about a fundamental shift in the way we think about our internal ways of working, client needs and people and the community at large. Therefore, making our leadership aware of the technology and its possible impact is essential for the long-term commitment required for the success of this program.
The second priority is about having a business case. The investment in AI must be strategic and made with a clear understanding of short term, medium term and long-term returns required for successful outcomes to be achieved.
Therefore, return on investment becomes critical. Creating a holistic strategy with a plan to achieve ROI involves a relook at the technology stack, operating model, business case, prioritizing use cases, setting up measurable goals, internalizing the change, and continuously monitoring the progress to ensure alignment with the business objectives that have been laid out. Initially.
The third priority should be to reduce friction for our workforce to use AI. The focus has to be on creating awareness about the usage of technology, rather than how the technology works. Hence, the training and upskilling have to be customized for various usage personas with a clear focus on creating learning programs with immersive content.
Friends, these three priorities should help you harness the full potential of AI. Thank you and best wishes.

Presenters

Rakesh Kaul

National Leader-AI Activation, Markets Leader-GPS, Technology Consulting Partner, EY India

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Podcast

Episode 16

Duration

2m 49s

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