Capgemini’s GenPAL: Payments Data Monetization in Action with MongoDB

Watch this episode as a video on Spotify! In this episode, Luis Pazmino, Industry Principal for Financial Services at MongoDB, sits down with Saurabh Khandelwal from Capgemini to explore how financial institutions can transform payments data into a strategic revenue engine. The conversation dives into GenPAL, Capgemini’s solution powered by MongoDB’s modern data platform, and how it enables organizations to move beyond data storage toward real-time intelligence, AI-driven insights, and data monetisation. In this episode, we discuss: • Evolving Payments Landscape: Key shifts shaping data strategies and opportunities in payments • Modern Data Foundations: Building scalable, real-time architectures to support high-volume transactions and compliance needs • From Data to Value: Turning payments data into actionable insights and new revenue streams • AI at Scale: Leveraging gen AI and agentic AI for fraud detection, customer intelligence, and operational efficiency • Pragmatic Modernization: How to adopt AI and modern data platforms without a “big bang” approach Whether you’re a fintech innovator or a financial institution navigating legacy systems, this episode offers practical insights on unlocking the full value of payments data with AI and modern data platforms. Timestamps 00:09 – Introduction 01:05 – Introducing GenPAL 02:38 – The tactical shift: From standard BI to Agent AI 04:56 – Identifying strains 06:59 – Solving payment failures 08:48 – Sub-millisecond latency 12:48 – The "Experience Gap" 15:01 – Strategic advice 18:14 – High-level architecture 21:35 – Real-world success 24:09 – Future outlook