AI in Financial Services Podcast

AI infrastructure projects are failing not because the technology underdelivers, but because organizations commit capital before establishing the business case. In this episode, Juan Orlandini, CTO at Insight, examines why enterprise AI programs stall and outlines how leaders can apply decades of established IT investment discipline to evaluate, validate, and scale AI initiatives with measurable outcomes in mind. The conversation covers organizational change management across employee adoption segments, the application of FinOps principles to AI infrastructure spending, and a minimum viable proof of concept approach for validating AI investments before scaling.
 
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Architectural decision‑making in large enterprises can break down when system knowledge is fragmented, slowing delivery and creating inconsistent outcomes across teams. In this episode, Amar Akshat, Senior Vice President of Architecture at PaySafe, examines how codified organizational memory and deterministic guardrails enable intelligent systems to accelerate development without sacrificing control. He highlights the shift toward machine‑readable decision records, intent‑driven interfaces, and standardized design patterns that help enterprises reduce drift, strengthen compliance, and move faster with greater confidence.
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Regulated industries are facing mounting pressure to adopt AI while maintaining absolute accuracy, data protection, and clear human accountability. In this episode, Steve Hasker, CEO at Thomson Reuters, joins Emerj's Matthew DeMello to examine how these demands are reshaping expectations for model reliability, data isolation, and the future of high‑stakes regulatory work. The discussion highlights the need for transparent guardrails, expert‑trained systems, and new approaches to handling large‑scale filings without compromising oversight.
Want to share your AI adoption story with executive peers? Click go.emerj.com/expert1  for more information and to be a potential future guest on Emerj's flagship 'AI in Business' podcast!
Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Modern enterprise leaders face a critical strategic challenge in balancing seamless digital onboarding with the increasing threat of sophisticated, AI-driven fraud. In this episode, Mary Ann Miller, VP of Client Experience and Fraud Advisor at Prove, unpacks why a robust "welcome mat" strategy centered on high-assurance identity verification enables the safe scaling of high-value services and drives institutional ROI. The conversation examines the implementation of endpoint bot protection to counter agentic AI attacks, the transition to intelligent data pre-fill to reduce abandonment, and the role of tokenized identity in creating a persistent, frictionless customer experience. Want to share your AI adoption story with executive peers? Click emerj.com/e2 for more information and to be a potential future guest on Emerj's flagship 'AI in Business' podcast.

Today's guest is Tal Elyashiv, Co-founder and Managing Partner at SPiCE VC. Tal joins Emerj's Nick Gertsch to explore how tokenization is moving from pilot programs into institutional-scale deployment — and what that means for settlement infrastructure, governance, and enterprise AI strategy in regulated financial systems. They discuss the real signals of production readiness, where AI is generating measurable ROI today (from compliance monitoring to customer operations), and why identity verification and human-in-the-loop controls are becoming mission-critical as AI-driven fraud accelerates. Want to share your AI adoption story with executive peers? Click emerj.expert for more information and to be a potential future guest on Emerj's flagship 'AI in Business' podcast!