The AI Flywheel: How Enterprises Can Build AI That Gets Smarter, Cheaper, and More Governed Over Time

Most enterprises aren’t losing the AI race because of bad models. They’re losing it because of bad architecture. Pilots proliferate. Costs climb. Every new agent or copilot adds another layer of complexity, and another gap in governance. The problem isn’t ambition. It’s that most AI deployments are built to launch, not to learn. 

In this webinar, Quinn Zuo, VP of Product Management, AI and Platform at Uniphore, and guest speaker Rowan Curran, Principal Analyst at Forrester, will explore how enterprises can move beyond disconnected AI tools and build a self-reinforcing AI flywheel — one where data, domain knowledge, models, agents, and governance continuously improve each other. 

Instead of deploying static agents or one-off copilots, organizations can build AI systems that learn from real workflows, improve with production data, reduce inference costs, and remain governed from end to end. 

Hear directly from Forrester and Uniphore on what it takes to move from AI experimentation to AI that compounds value across the business. 

What you will learn:

• What separates enterprises that are scaling AI from those still running pilots  
• How a self-reinforcing AI flywheel compounds value across cost, accuracy, and governance  
• What CIOs, CTOs, and AI leaders should prioritize to operationalize AI in the next 12–18 months