In this episode, Sanjay Sankolli, Chief Architect for AI and Data at Truist, joins Karan Jain, Founder and CEO of NayaOne, to explore why enterprise AI often stalls before delivering real value.

The conversation focuses on the structural challenges behind AI adoption, including weak data foundations, misaligned operating models, and the complexity of scaling in regulated environments.

You’ll hear:

• Why AI must be treated as an operating model shift, not just a technology upgrade
• What changes when moving from pilot to production
• Why the “last mile” is where most AI initiatives break down
• How regulatory uncertainty is influencing enterprise decision-making
• Why multi-vendor evaluation is becoming the new norm

This is Part 1 of a 4-part series on operationalizing AI in the enterprise.