How to Deeply Connect AI Into Fintech Core Systems

Most scale-ups and financial companies try to adopt AI by building a quick, superficial "wrapper" or a basic user interface patch over their existing systems. While this lets you ship a feature quickly, it creates a dangerous "Trust Gap", making your system highly fragile, prone to data leaks, and impossible for financial regulators to audit. True, sustainable AI value does not come from cosmetic patches; it requires deeply connecting and rewiring your backend data pipelines.

Join David Roldán Martínez, Fractional Chief AI Officer and an international expert on responsible AI infrastructure, and Peter Tychynskyi, Strategic Partnerships at Ralabs, for a practitioner-to-practitioner conversation on what it actually takes to refactor your core platforms for the AI era.

What You'll Walk Away With:

• The "Rewiring vs. Wrapping" Blueprint. Practical engineering strategies to safely upgrade legacy architectures so they cleanly feed company data into intelligent models
• Bridging the Trust Gap. How to ensure deep backend integrations automatically enforce safety policies, control data access, and keep core financial transactions stable
• A Milestones-Based Roadmap. How to plan a multi-stage modernization effort that delivers business value at every stage without disrupting live production workflows.

Who This Is For: CTOs, CPOs, VPs of Engineering, and technical founders at fintech and scale-up companies who have outgrown basic AI experiments and need a serious engineering approach to integrate AI deep into their proprietary systems.

Speakers:
David Roldán Martínez — Fractional Chief AI Officer. David helps organizations scale AI without creating operational chaos, reputational exposure, or governance gaps, turning fragmented AI experimentation into a governed business capability. International speaker, and PhD candidate in AI at UNED with 17K+ followers on LinkedIn.
Peter Tychynskyi — Strategic Partnerships at Ralabs. Peter has spent several years at the intersection of technical and business decisions in fintech — first in AI-powered fraud detection at Scalarr, now working with product and engineering teams at Ralabs on core banking modernization, embedded finance, and AI applications where the cost of a wrong call is high.