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Harun

Yayli

Executive Director, AI Product Management

JPMorgan Chase & Co.

Harun Yayli is a senior AI and engineering product executive with extensive experience leading enterprise-scale AI platforms, engineering systems, and data infrastructure across JPMorgan Chase, Amazon Alexa AI, and Electronic Arts. Currently serving as Head of Firmwide AI Assisted Engineering Products Management at JPMorgan Chase, he leads AI-enabled engineering initiatives focused on scaling enterprise AI adoption, developer productivity, and operational transformation across the organization. With a background spanning AI product management, conversational AI, engineering platforms, and strategic technology operations, Harun has built and led high-performing teams responsible for large-scale data platforms, AI-assisted engineering systems, and enterprise technology modernization. Prior to JPMorgan Chase, he held leadership roles at Amazon within Alexa AI and Digital Platform Services, as well as nearly a decade at Electronic Arts leading strategic planning, engagement, and platform initiatives. Harun is known for combining deep technical expertise with strong organizational leadership, helping complex enterprises operationalize emerging technologies while balancing governance, scalability, and customer impact. His work focuses on the intersection of AI-enabled workflows, engineering productivity, enterprise platform strategy, and large-scale organizational transformation.

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22 September 2026 09:15 - 09:45

Building AI Products for Enterprise Scale: Moving Beyond the MVP Honeymoon

As AI tools make building MVPs faster and cheaper than ever, the industry is saturated with slick demos. However, moving from an experiment to a battle-tested enterprise product is a completely different sport. Product leaders are under increasing pressure to move quickly. They often walk straight into an operational hangover where systems collapse under non-deterministic scale and organizational friction. Building enterprise AI products that truly scale requires more than adding infrastructure or shipping new features. It demands a shift in how we handle the 80/20 trap. People assume an AI model will easily handle 80% of a given task in their product, while that remaining 20% is where you lose your biggest enterprise clients. But in the real world, the ratio flips: the AI model becomes only 20% of your product. The remaining 80% is the infrastructure, governance, and operational reality you must build around it to survive an enterprise environment. In this keynote, Harun explores the gritty realities of moving beyond the MVP, providing a product blueprint for sustainable AI products.