In this episode of AI Leadership Lab, host Ryan Heath interviews Umesh Sachdev, CEO of Uniphore, live from the World Economic Forum in Davos. As the leader of a company serving over 2,000 customers globally, Umesh shares critical insights about the shift from AI experimentation to real business impact in 2026. The conversation explores how C-suite leaders are moving beyond the novelty of GPUs and LLMs to focus on outcome-as-a-service models, the importance of cost optimization across different AI use cases, and why the pace of decision-making has become the defining factor separating AI leaders from laggards.Key TakeawaysThe Era of AI Pilots is Over: Outcomes Matter NowIn 2026, the conversation has shifted from which GPU or LLM to use to what business transformation AI delivers. Companies that have figured out how to use AI as a growth enabler are starting to break away from the pack. One Size Does Not Fit All in AIDifferent use cases require different AI architectures. A real-time call center assistant needs sub-second response times with high-capacity GPUs, while CFO automation tasks can tolerate three-minute responses using smaller models on lower-capacity hardware. The key is matching infrastructure costs to the specific outcome required, rather than applying a uniform approach across all AI initiatives.AI Agents Must Work Within Existing WorkflowsThe thinking has evolved: companies need consistency for tasks repeated thousands of times daily. The 2026 breakthrough is making AI agents work reliably within current business structures rather than forcing organizational redesign.Open, Sovereign Architecture is Non-NegotiableClients demand flexibility to avoid vendor lock-in and the ability to adapt as new innovations emerge. More critically, especially outside the US, geopolitical developments are driving demand for sovereign AI architectures that ensure access cannot be cut off by any single government action. Speed of Decision-Making Defines AI LeadershipThe traditional playbook of research, analysis, and committee-based decisions is being discarded. CEOs across Fortune 500 companies recognize that moving at the speed of AI is essential to satisfy investors and Wall Street. The gap between companies that can execute with agility and those that cannot is widening dramatically.Chapter Timestamps[00:00] The Davos Reality Check: AI ROI in 2026[01:16] From Pilots to Business Transformation[01:34] Outcome-as-a-Service Business Model[02:03] Matching AI Architecture to Use Cases[03:00] Workflow and Organizational Design[04:25] Uniphore’s Product Roadmap and Platform Strategy[06:21] From Novelty to Business Basics[07:00] Leadership in the AI Revolution[08:30] Bringing the Workforce Along[09:37] Humans, Agents, and Sustainable Jobs[11:43] Near-Term Job Displacement vs Long-Term OpportunitiesAbout the GuestUmesh Sachdev is the CEO of Uniphore, a global AI platform company serving over 2,000 enterprise customers. Under his leadership, Uniphore has developed the Business AI Cloud, an open and sovereign platform that delivers enterprise-grade AI solutions with a focus on business outcomes rather than technical specifications. The platform runs multiple types of compute and LLMs, offering clients the flexibility to choose their technology components while maintaining security, scalability, and sovereignty.Connect with Umesh & UniphoreUniphore Website: https://www.uniphore.comAbout AI Leadership Lab

AI Leadership Lab interviews C-suite leaders about their AI journeys, covering what's working, where they're getting stuck, how they pivot, and the lessons they take from the losses.Host: Ryan HeathWebsite: RyanHeathConsulting.comResources MentionedUniphore Business AI Cloud - Open and sovereign AI platform that encompasses multiple types of compute and LLMs, delivering enterprise-grade security and scalability - https://www.uniphore.com