Agentic AI in Financial Crime Conference – New York
September 10 8:00 am - 5:00 pm
$125.00 – $500.00
The Agentic AI in Financial Crime Conference brings together financial crime practitioners, compliance leaders, and technology experts for one focused day. The subject is one the industry can no longer defer, the shift from rules-based systems to AI-driven and agentic compliance programs. Four panels. Four conversations the industry needs to have.
- Where is AI delivering real value today?
- What do governance and model risk frameworks actually need to look like?
- How do you navigate vendor selection without getting burned?
- And what does it take to build AI programs that hold up under audit and regulatory scrutiny?
The Agentic AI in Financial Crime Conference is a discussion about where AI is heading, a practical conversation about where it is now, and what responsible deployment looks like in practice.
Agenda
Check in, pick up your conference materials and name badge, and enjoy light refreshments before the program begins. This is your first opportunity to connect with fellow attendees, speakers, and sponsors in a more informal setting.
Welcome from CAFC conference leadership, setting the tone for the day ahead. This session outlines the agenda, introduces key themes, and frames the conversations that will shape the rest of the conference.
This panel examines the evolution of financial crime programs from traditional rules-based systems to advanced AI-driven and agentic capabilities. Panelists will discuss where AI is delivering measurable value today, how institutions are operationalizing AI at scale, and the path toward more autonomous, intelligent systems.
Moderator
Sabrina Chen
NA Head of Financial Crime Analytics, AML RightSource
Panelist
Thomas Messina
BSA Officer, Meta FinTech
C. Rob De Campos
Chief Compliance Officer, X
Sourit Dasgupta
Global Head of AML Risk, Interactive Brokers
This panel focuses on the governance structures and model risk management practices required to support the responsible use of AI in financial crime programs. Speakers will outline regulatory expectations and provide practical approaches to building defensible, well-controlled AI frameworks.
Moderator
Panelist
Aadesh Gandhre
Chief Audit Executive, DTCC
Goutam Gandhi
Chief AI Strategy Officer, SRA Consulting
Aishwarya Kothapally
First Vice President, Financial Crimes Compliance at BHI
Refresh, recharge, and connect during a brief networking break. This short break intends to give you dedicated time to continue conversations with peers, engage with speakers, and explore what sponsors have to offer.
Select one of three concurrent interactive workshops, each focused on a specialized topic within AI governance and financial crime compliance. Sessions are designed for hands-on engagement, practical application, and direct dialogue with facilitators and fellow practitioners.
Enjoy a complimentary catered lunch while continuing conversations and building professional connections with attendees and speakers. Whether you're following up on a panel discussion or making new connections, lunch is one of the most valuable networking opportunities of the day.
This panel addresses the practical challenges financial institutions face when selecting, validating, and implementing AI solutions. Panelists will share lessons learned from real-world deployments, including vendor risk considerations, integration challenges, and common implementation pitfalls.
Moderator
Panelist
Abhishek Mittal
Chief Product & AI Officer, AMLRS
Kai Schrimpf
VP, Financial Crime Platforms & Capabilities, American Express
Dinusha Briley
Senior Manager, Fraud Data Engineering and Governance, Navy Federal Credit Union
Deepthi Machavaram
Global Head of Digital Financial Crimes Advisory, Morgan Stanley
This panel explores how financial institutions can demonstrate that their AI models are transparent, auditable, and defensible. Discussion will focus on the documentation, controls, and evidence required to satisfy internal audit functions and regulatory scrutiny.
Moderator
Flagright
Panelist
Victor Salazar
CAMS, ICA, Director, AML Compliance Testing, Mizuho Americas
Alexander Aronov
Managing Director, Compliance Innovation & AI Execution, Citi
Danielle Miyagishima
Senior BSA Systems & Analytics Specialist at OceanFirst Bank
Shabbir Husain
Principal Architect, Financial Crimes Risk Management at Wells Fargo
Celebrate outstanding contributions, hear final conference takeaways, and conclude the formal program. This session gives attendees a summary of the day's most important insights and action points.
The formal program may be over, but the conversations are just getting started. Join speakers, sponsors, and fellow attendees for a relaxed networking social, the ideal setting to continue discussions and build lasting professional relationships.
Thank you for attending the Agentic AI in Financial Crime Conference. We hope today's sessions leave you with sharper frameworks, stronger connections, and a clearer sense of where AI governance in financial crime is heading. We look forward to seeing you at a future CAFC event.
Proudly Sponsored By:
Platinum
Flagright delivers a unified financial crime compliance platform trusted by institutions in over 35 countries. By combining transaction monitoring, AI forensics, and explainable AI with audit-ready workflows, the platform helps compliance teams eliminate operational friction and confidently prepare for agentic compliance.
Gold
SRA Consulting supports more than 200 mid-market banks across the United States, delivering award-winning, end-to-end AI risk governance, monitoring, and third-party AI certification solutions. The firm has also developed an agentic platform designed to continuously monitor AI risk, including model drift, data leakage, and hallucinations.
Gold
AML RightSource is the leading technology-enabled managed services firm dedicated exclusively to fighting financial crime. Combining over 4,000 global compliance experts with advanced AI tools, the firm delivers tailored transaction monitoring, KYC onboarding, and robust regulatory advisory solutions.
Gold
Philo4Thought is a premier Hellenic mentoring initiative dedicated to empowering young professionals through expert career coaching, lifestyle guidance, and professional development. The organization provides individualized advisement, educational resources, and a global network of mentors to support growth from college to career.
Speakers
John Calderon is a financial crime and compliance executive with nearly 15 years of experience leading BSA/AML, sanctions, and consumer compliance programs across banks, fintech, and money services businesses. He has served as Chief Compliance Officer and BSA Officer, with a strong track record of building and remediating complex compliance frameworks under regulatory scrutiny, including consent orders and enforcement actions. He has led large-scale AML transformations, including the implementation of AI-driven transaction monitoring systems that improve detection and reduce false positives, and brings deep expertise in high-risk banking areas.
Aadesh Gandhre is the General Auditor and Chief Audit Executive at DTCC, leading its global Internal Audit function. An award-winning leader, he is driving a tech-powered transformation by embedding analytics, automation, and AI across the audit lifecycle. Previously, Aadesh held senior audit and innovation leadership roles at Société Générale and Goldman Sachs. Recognized by the IIA as the 2026 Chief Audit Executive of the Year, he serves on multiple boards and holds a master's in Computer Science.
Goutam Gandhi leads enterprise AI strategy, AI risk management, and innovation across financial services. He also serves in a CISO capacity, overseeing cybersecurity and technology risk. With more than 25 years of experience spanning the Federal Reserve, Bank of America, Wells Fargo, and high-growth fintechs, Goutam has built scalable banking operations that balance the speed of modern payments with the stability, discipline, and trust required by regulated institutions. He has also led AI-driven transformation initiatives, embedding responsible AI and governance into core banking operations, and designing execution frameworks that strengthen controls and reduce regulatory exposure.
Abhishek Mittal is EVP, Chief Product and AI Officer at AML RightSource, leading product innovation and AI-enabled transformation across global compliance services. He brings over 20 years of experience spanning financial services, regulatory technology, decision science, and artificial intelligence. Previously, Abhishek held senior leadership roles at Wolters Kluwer, launching award-winning AI products across a $1B+ portfolio, and managed risk workflows at American Express. He holds a Master’s from IIT Bombay and frequently speaks on compliance innovation.
Alexander Aronov is a compliance, surveillance, and AI governance leader at Citi, focusing on Compliance Innovation and AI Execution. He specializes in building next-generation compliance frameworks through AI-driven controls and emerging technology governance. Previously, he served as Global Head of Surveillance Intelligence at Citi and held senior leadership roles at Goldman Sachs, JPMorgan Chase, HSBC, and FINRA. A licensed attorney admitted to the NY and NJ Bars, Alexander holds a J.D. from New York Law School.
C. Rob DeCampos, CAMS is the Chief Compliance Officer and Head of Payments Compliance at X, leading compliance strategy and scalable governance for financial innovation. He brings deep expertise across BSA/AML compliance, enterprise risk, and fintech operations. Previously, Rob served as Chief Compliance Officer and Senior Vice President at Western Union, and held senior compliance leadership roles at Intuit, PayPal, and American Express. He holds a J.D. from Northeastern University and is a Certified Anti-Money Laundering Specialist.
Deepthi Machavaram is Executive Director and Global Head of Digital Financial Crimes Advisory at Morgan Stanley, focusing on financial crime risk, digital assets, and emerging technology compliance. She brings deep experience across AML advisory, fintech risk, and service delivery. Previously, Deepthi served as Director of Enterprise Digital Assets at BNY Mellon and Global Head of AML FinTech and Crypto Advisory at MUFG. She holds MBA degrees from UNC Kenan-Flagler Business School and the Indian School of Business.
Dinusha Briley is Senior Manager of Data Engineering, Security at Navy Federal Credit Union, specializing in building enterprise-scale, governed data ecosystems in highly regulated environments. She built Navy Federal’s first end-to-end fraud data ecosystem, converting fragmented data into trusted, decision-ready assets. A people-first leader, Dinusha focuses on aligning data strategy with fraud prevention, physical security, and regulatory compliance. She holds a bachelor's from the University of Maryland and completed executive education through MIT and Cornell.
Sourit Dasgupta, CAMS is Global Head of AML Governance, Risk and Analytics at Interactive Brokers, leading financial crimes compliance across a global brokerage and digital asset ecosystem. He brings over 13 years of experience in AML/CFT, sanctions, and model governance. Sourit specializes in integrating AI, machine learning, and advanced analytics into transaction monitoring. Previously, he held compliance roles at EY and Deloitte. He holds a master's in Computer Science and is a Certified Anti-Money Laundering Specialist.
Victor Salazar, CAMS, ICA is Director of AML Compliance Testing at Mizuho Americas, supporting the evaluation of financial crime compliance controls. He brings extensive experience in AML compliance testing, risk assurance, and banking operations. Victor has held progressively senior roles at Mizuho Americas, including Assistant Vice President and Vice President. Previously, he served as a Compliance Officer at HSBC and held client relationship roles at JPMorgan Chase. He is a Certified Anti-Money Laundering Specialist.
Xihua “Sabrina” Chen is the North America Head of Financial Crime Analytics at AML RightSource, where she leads data-driven advisory and analytics initiatives across financial crime compliance, risk management, and regulatory strategy. She brings more than 18 years of interdisciplinary experience across data science, anti-financial crime, risk analytics, strategy enablement, and product development.
Prior to AML RightSource, Sabrina spent more than a decade at Citi, where she served as Global Head of AML Customer Risk and Data Science Senior Lead. Her background also includes advisory and consulting roles at AlixPartners and KPMG. Sabrina is known for helping organizations apply analytics, automation, and emerging technologies to address complex financial crime and regulatory challenges.
Aishwarya Kothapally is a financial crimes compliance leader with more than 11 years of experience across AML, sanctions screening, transaction monitoring, fraud prevention, cryptocurrency compliance, regulatory reporting, KYC/CDD systems, and risk governance. She currently serves as First Vice President at BHI, where she leads strategic financial crimes compliance initiatives covering AML, sanctions, risk governance, automation, and regulatory excellence. Aishwarya has held financial crime, data analytics, model risk, and surveillance roles with Capgemini, Exiger, Matrix, Morgan Stanley, Barclays, and Wipro Technologies.
Danielle Miyagishima is a CAMS-certified financial crimes compliance professional with extensive experience across BSA/AML, sanctions, fraud, transaction monitoring, systems analytics, and high-risk customer activity. She currently serves as Senior BSA Systems & Analytics Specialist at OceanFirst Bank, where she supports risk-based monitoring, analytics, and control effectiveness across the BSA/AML program. Danielle previously spent more than a decade at Provident Bank in progressively senior BSA/AML and fraud systems roles.
Kai Schrimpf is a global financial crime, fraud, and risk product executive with extensive experience leading enterprise-scale platforms across AML, sanctions, fraud prevention, KYC, investigations, surveillance, and data analytics. He currently serves as Vice President, Financial Crime Platforms & Capabilities at American Express and also advises fintech, regtech, crypto, and banking organizations. Kai has held senior financial crime and monitoring roles at Morgan Stanley, UBS, Credit Suisse, Deutsche Bank, Goldman Sachs, and Protiviti, where he has led major initiatives across transaction monitoring, screening, client risk ranking, investigations, sanctions, and financial crime transformation. His work focuses on building intelligence-driven, defensible risk capabilities that improve control effectiveness, reduce false positives, and support responsible innovation across complex financial ecosystems.
Thomas Messina is a senior AML and financial crimes compliance leader with deep experience across traditional financial institutions, digital assets, payments, Big Tech, and FinTech. He currently serves as Head of AML for Meta FinTech and BSA/AML Officer for Meta Payments, Inc., where he oversees financial crimes compliance for Meta’s FinTech and platform entities. His career includes senior roles at Deutsche Bank, Anchorage Digital, BNY Mellon, Citi, and PwC, with extensive work across AML, sanctions, fraud, KYC, transaction monitoring, model risk, digital assets, blockchain, and regulatory remediation. Thomas brings a unique perspective on how AI, payments, platform risk, and financial crime compliance are converging in the next generation of financial services.
Shabbir Husain is a financial crimes compliance and risk analytics leader currently serving as Principal Architect, Financial Crimes Risk Management at Wells Fargo, where he leads enterprise architecture for financial crimes systems and data. Previously, Shabbir served as Director, Head of Financial Crimes Compliance Systems at CFSB, where he led transaction screening optimization, and compliance transformation initiatives for a fintech sponsor bank. He also held senior financial crimes roles at Silicon Valley Bank, where he managed global governance, tuning, and configuration for sanctions, PEP, and adverse media screening systems and helped drive adoption of machine learning solutions to reduce false positives and improve scalability.
