In this episode of the EY.ai Unplugged podcast, we explore how organizations can prepare for the next evolution of Agentic AI, powered by trusted, high-quality data. Alexy Thomas, Partner, Technology Consulting, EY India, shares why data is the most critical enabler of intelligent, autonomous decision-making and how its quality directly impacts outcomes.

The conversation highlights the dynamic relationship between data and AI, where better data drives smarter agents, and AI in turn enhances data quality. It also outlines the key characteristics of AI-ready data and practical steps organizations can take to build a scalable, resilient foundation for deploying autonomous systems effectively.

Key takeaways

• Trusted, high-quality data is foundational for Agentic AI, directly influencing accuracy, autonomy and intelligence of AI systems.
• Agentic AI performs best in structured, reliable data environments, while poor-quality data leads to bias and unreliable outcomes.
• The data–AI flywheel strengthens both systems, with AI improving data quality and better data enhancing AI performance.
• Preparing for Agentic AI requires unified data foundations, metadata-driven design and continuous governance practices.

Tune in to learn how organizations can unlock the true potential of Agentic AI by building a strong, data-first foundation for the future.