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Beyond the Hype:

Embedding Enterprise AI into Talent Workflows for Measurable Performance Outcomes

date

17th March, 2026

location

Sahara Star

time

6:00 pm onwards

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Overview

AI promises to transform how organizations hire, develop, and enable talent, but most leaders are asking: what does it really take to make it work? This Round Table goes beyond buzzwords to unpack what drives real adoption and measurable impact when AI is deployed across hiring, learning, evaluation, coaching, and on-the-job performance enablement.

The session is structured around the questions CHROs and talent leaders ultimately need to answer:

What are the highest value AI use cases across the hire-to-grow lifecycle for our organization?
Which use cases improve decision quality and performance outcomes, and which only automate tasks?
What benefits and risks must we own when AI influences talent decisions?
What solution options exist in the market, and what are the real cost, integration, and change implications of each?
How do we build defensible business cases that link AI to readiness, productivity, and business metrics?
What does responsible deployment look like from pilot design to validation and scale?

Leaders will leave with a clear roadmap to avoid common pitfalls, prioritize the right initiatives, integrate AI into real talent workflows, and measure outcomes in business terms so AI efforts translate into readiness, productivity, and impact across the talent lifecycle.

Speaker

John Cherian

About the Speaker

With over 15 years of experience transforming how organizations identify, develop, and elevate talent, John Cherian has built enParadigm into a global authority in enterprise talent solutions. A passionate believer in the power of experiential solutions and AI, he has led the company’s mission to make people transformation measurable, scalable, and deeply business-aligned. Read More

Under his leadership, enParadigm partners with some of the world’s largest organizations to embed this work into real workflows, improving consistency, productivity, and decision quality without losing the human core of talent management. His work sits at the intersection of human judgment, adoption, and enterprise-grade AI. He is deeply interested in how people and organizations build capability over time, and how leaders move from intent to sustained behaviour change. He holds an MBA from IIM Ahmedabad and a Computer Science engineering degree

Kumar Veetrag

About the Speaker

Kumar is driven by the belief that technology should simplify complexity and enable better performance in real work situations. As Co-founder and Chief Technology Officer at Enparadigm, he applies first-principles thinking to the design of simulation-led and AI-driven platforms that translate learning philosophy into scalable, real-world systems. Read More

With experience spanning technology consulting, product development, and organisational development, Kumar integrates engineering, user experience, and learning science to build multimodal platforms that help organisations understand how people think, decide, and act under real work conditions. He remains deeply hands-on in solving product and engineering challenges, with a strong emphasis on using technology responsibly to drive meaningful outcomes across learning, assessment, and talent development.
Kumar holds a Bachelor’s degree in Computer Science Engineering and an MBA in Strategy and Organisation Leadership from Virginia Tech, USA.

Saaransh Malani

About the Speaker

Saaransh Malani leads product development at enParadigm and has spent more than seven years building simulations, assessments, and digital learning products used across large organisations. His work focuses on translating capability-building needs into learning tools that are practical, intuitive, and designed for real-world adoption. Read More

Before joining enParadigm, Saaransh worked across technology, business management and operations roles, giving him direct exposure to on-ground realities in fast-moving work environments. This background shapes his product thinking today, grounding it in how employees actually work, the constraints they face and what makes learning experiences fit naturally into daily workflows. He brings audiences a clear, practical perspective on how modern learning products must evolve to stay relevant and effective inside enterprises.

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