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Trustworthy Agentic AI Finance
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| With Stefano Pasquali (SVP & Head of Financial Services, Domyn). |
| Venue, 140 W 62nd St |
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Jan 06 (Tue) , 2026 @ 06:00 PM
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FREE |
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| DETAILS |
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IAQF & Thalesians Seminar Series: Building Trustworthy Agentic AI for Finance: From Knowledge Discovery to Governed Execution. How agentic systems turn financial intent into auditable action-beyond prompts, beyond models.
A Seminar by Stefano Pasquali
6:00 PM Seminar Begins
7:30 PM Reception
Hybrid Event
Fordham University
McNally Amphitheater
140 West 62nd Street
New York, NY 10023
Free Registration!
For Virtual Attendees: Please email web@iaqf.org for the link.
Abstract:
Agentic AI in finance is shifting from conversational assistance to systems that execute actions across data, models, & workflows. This evolution raises a central challenge: how to build AI that is not only capable, but trustworthy in high-stakes, regulated environments.
This talk presents a practical framework for building trustworthy agentic AI for finance, structured around four building blocks: knowledge discovery on unstructured data, knowledge discovery on structured data, multi-agent reasoning & orchestration, & governance with continuous interpretability & surveillance. We argue that trust is a system-level property, emerging from how these components interact rather than from model accuracy alone.
As a focused deep dive, we examine Text-to-SQL as a stress test for trustworthy execution, highlighting challenges such as schema grounding, semantic precision, & material correctness. Using recent financial benchmarks as reference, we show how agent orchestration & governance layers transform promising capabilities into production-ready financial systems.
Bio:
Stefano Pasquali is Senior Vice President & Head of Financial Services Solutions at Domyn, where he leads the creation of sovereign, explainable, & fully auditable AI for mission-critical financial applications. His work combines agentic AI architectures, knowledge-graph reasoning, proprietary financial models, & large-scale LLMs, enabling institutions to own, govern, & scale AI with full compliance & IP protection.
Previously Managing Director & Head of Investment AI at BlackRock, he advanced AI, machine learning, & GenAI to support investors & the Aladdin platform. Earlier he directed Liquidity Research at Bloomberg, where he contributed to BVAL & created Liquidity Assessment (LQA). A theoretical & computational physicist, he has taught at Rutgers & Columbia University & remains active in global conferences & regulatory dialogues on responsible AI & model governance.
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