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Emily
Hendley
Director of Product Management
LexisNexis Risk Solutions
Emily is a product leader specialising in digital identity, onboarding, and fintech solutions. With a career focused on building scalable products that balance technology, compliance, and customer needs, she has led the development of innovative identity verification platforms across SaaS, enterprise, mobile, web, APIs, and third-party integrations. At IDVerse, now part of LexisNexis Risk Solutions, Emily progressed from Product Owner to Senior Vice President of Product, leading global product strategy and delivery across complex identity, fraud, and biometric solutions. She has built high-performing teams, shaped product roadmaps, and partnered with customers including ANZ, NAB, Amex, and HSBC to deliver secure, seamless onboarding experiences at scale. Emily is passionate about turning complex challenges into practical solutions that create measurable impact for businesses and their customers.
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28 October 2026 15:45 - 16:30
Panel | Speed vs. substance: Are product teams moving too fast in the AI era?
AI is accelerating product development at a pace few teams have experienced before. But as organisations rush to launch AI-powered experiences and stay competitive, many product leaders are grappling with a difficult question: are we building products that create lasting customer value, or simply shipping features to keep up with the market? This panel brings together product and AI leaders to explore how modern teams are balancing speed, experimentation, customer trust, and meaningful product outcomes. From governance and operational readiness to adoption, usability, and long-term impact, the discussion will unpack what responsible and effective AI product leadership actually looks like beyond the hype cycle. Attendees will hear practical perspectives on: - Balancing rapid experimentation with customer experience - Avoiding “AI novelty” and focusing on real user value - Governance, trust, and operational considerations when scaling AI products - Aligning product, operations, and leadership teams around responsible AI adoption - Deciding when to move fast (and when to slow down)