The True ROI of AI: From the Cost of Intelligence to the value of Business Outcomes

(00:00:00) Introduction: Errol Rodericks, Director of Product Marketing at Denodo
(00:01:07) The ROI Equation
(00:08:16) The "Focused AI" Framework
(00:10:11) Return of Active Context
(00:15:55) The 6 Levels of AI Economics
(00:23:31) Summary / Conclusion

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 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.