Welcome to another episode of AI Data Bites (Powered by Denodo). As enterprise AI rapidly matures, leaders face a crucial turning point: reducing the cost of running AI is not the same as proving its true return on investment.
In Part 1 of this series Lower Cost, Higher Trust: The New Economics of Agentic AI, host Neha Gurudatt and Dominic Sartorio, VP of Product Marketing at Denodo, unpacked the token economics challenge of agentic AI. They explored how multi-step workflows introduce exponential "token taxes" and how an Active Context Layer optimizes prompt context upstream to slash computing overhead while improving data trust.
In Part 2 of our series on the economics of AI, host Neha Gurudatt is joined by Errol Rodericks, Director of Product Marketing at Denodo, to explore how organizations can shift their focus from tracking AI activity to driving real business outcomes.
Topics Covered in This Episode
- The ROI Equation: Why token economics only tells half the story.
- The "Focused AI" Framework: A reverse-engineering model for enterprise AI strategy.
- Active Context: Moving from raw intelligence to actionable business understanding.
- The 6 Levels of AI Economics: A maturity model for measuring long-term value and strategic advantage.
Why This Episode Matters
The true destination of enterprise AI isn't achieving the lowest cost per token—it's achieving high-impact business outcomes without wasted intelligence. This episode provides enterprise leaders with a concrete roadmap to move beyond simple cost metrics, align AI initiatives directly with business goals, and capture genuine value across the enterprise.
🎧 Join us for this episode of AI Data Bites (Powered by Denodo) and learn how to unlock the true ROI of AI.
Visit the AI Data Bites podcast page to catch future episodes throughout Season 5.
