The Architecture Behind Autonomous AI: From Pilots to Enterprise Impact

Enterprise AI is no longer a future ambition. Organizations are investing aggressively, with global AI spending expected to reach $2.5 trillion in 2026, yet only a small percentage are realizing significant business returns and nearly half of AI initiatives never make it to production. Success with AI depends less on individual models and more on an organization’s ability to operationalize intelligence across people, processes and systems. 

Join Tushar Shah, Chief Customer and AI Transformation Officer at Uniphore, and guest speakers Gerry Murray Research Director Enterprise Marketing Apps and Agents, IDC and Laurel Ruma from MIT Technology Review Insights, for a discussion of the new report, Redefining Enterprise Intelligence with Autonomous AI. Together, they’ll explore why so many AI initiatives struggle to scale, why data readiness matters more than data volume, and how composable and sovereign AI architectures are helping organizations build a foundation for long-term success. 

Drawing on research and interviews with enterprise leaders from KPMG, IDC, Databricks, and other industry experts, the conversation will examine how organizations can move beyond isolated pilots and create intelligence that flows across people, processes, and systems. Attendees will learn how leading enterprises are preparing for a future where AI evolves from supporting decisions to helping execute them autonomously. 

Featuring new research from MIT Technology Review Insights, in partnership with Uniphore. 

What you’ll learn:

• Why data readiness, not data abundance, is the true foundation of successful AI adoption. 
• Why process redesign and operational readiness matter more than model selection when scaling AI across the enterprise. 
• How sovereign and composable architectures enable enterprises to adapt as AI models, tools, regulations, and business requirements continue to evolve. 
• What organizations must do today to prepare for a future powered by autonomous and agentic AI systems.