Enterprise AI is evolving at breakneck speed. While organizations are eager to harness the power of Generative AI, the real challenge isn’t just building models—it’s ensuring those models work with trusted, explainable, and scalable data. At the heart of this transformation is a new approach: Promethium's Instant Data Fabric.
The recent Gartner Data & Analytics Summit, Promethium’s founder, Kaycee Lai, joined Ravit Jain on The Ravit Show to share insights into why AI adoption often stalls and how forward-thinking enterprises are overcoming these hurdles. The takeaway? A data fabric is no longer optional - it’s the foundation for making AI work.
Why AI Needs More Than Just SQL Generation for Instant Data Fabric Success
During the interview, Ravit pointed out a critical industry shift: AI-powered analytics has come a long way, but many enterprises are realizing that generating a SQL query isn’t enough. The real challenge lies in ensuring AI-driven insights are accurate, explainable, and actionable.
Kaycee explained how Promethium’s Instant Data Fabric is designed to provide not just answers but fully contextualized data products, delivering:
SQL generation across multiple data sources (not just a single warehouse)
Data lineage and traceability (where did the data come from and how was it assembled?)
Governance and compliance (ensuring the right data is used for AI models)
Self-service analytics for business users without requiring deep technical expertise
By combining these capabilities, enterprises can trust their AI models, scale decision-making, and ensure regulatory compliance.
Enterprise Adoption: From Energy to Finance
Adoption of data fabric is accelerating across industries. Organizations like National Grid and Vital Farms are leveraging Promethium’s platform to streamline complex data operations and empower business users.
Ravit noted that even in highly regulated industries like finance and healthcare—where AI adoption is typically slow—agentic architectures are proving to be a game-changer. Kaycee responded by explaining why these industries are uniquely positioned to benefit from AI automation:
“Most people assume finance and healthcare are slow to adopt AI due to regulation. But in reality, their structured workflows make them ideal for AI-powered automation.” Kaycee Lai, Founder, Promethium
One of the key takeaways from the conversation was that the next frontier for AI isn’t just answering questions - it’s executing entire workflows.
Promethium’s Data Answer Agent is leading this shift, transforming how enterprises:
Discover and rationalize scattered data sources
Automate query generation and execution
Provide verifiable, audit-ready insights for decision-making
Ravit and Kaycee discussed how this shift is already happening, with AI agents streamlining finance and fraud detection workflows. But this is just the beginning. Over the next 6 to 12 months, AI agents will move beyond analytics into broader workflows such as automated data pipelines, governance documentation, and cost observability.
What’s Next for AI-Driven Enterprises?
As AI reshapes the enterprise landscape, organizations that embrace agentic data fabrics will gain a competitive edge.
Ravit closed the conversation by asking Kaycee what’s next for Promethium. While he couldn’t reveal everything on the roadmap, Kaycee hinted at new AI-driven workflows that will further automate enterprise data operations.
By enabling trusted, automated, and scalable data operations, Promethium is helping businesses move beyond the hype of AI and into real, actionable value. The future isn’t just about AI generating answers—it’s about AI driving entire business processes.
Want to see how an Instant Data Fabric can transform your AI initiatives?
Want to see how an Instant Data Fabric can transform your AI initiatives?