Opening and Welcome
Lorna Van Zyl, Group Head of Content, A-Team Group

Regulator Keynote: A Regulator’s perspective on AI

• How does the current regulatory framework support AI and is any further clarification needed?
• How is the Regulator continuing to invest in data and technology to support digital markets and responsible AI?
• What are the priorities and key messages for firms as they develop AI compliance strategies?

Interview with: Kaitlin Asrow, Acting Superintendent, NYS Department of Financial Services
Interview by: Minerva Tantoco, Independent, AI Specialist

Panel: Navigating the frontier of agentic AI in RegTech

• What are the most promising applications and use cases for agentic AI in regulatory compliance?
• What are the data management requirements for agentic AI?
• What does a best practice governance and control framework for Agentic AI look like?
• The ‘Black Box’ on autopilot: How do you solve for explainability and accountability?
• What is the new role for the compliance professional?
• What is the most effective strategy for firms to proactively engage with regulators on their use of Agentic AI?

Moderator: Adrian Sharp, RegTech Insight Editor, A-Team Group
Kristi Kunworee Baishya, AVP – Data and AI Product Management, Nomura Holding America
Marina Kaganovich, AMERS Financial Services Executive Trust Lead, Office of the CISO, Google Cloud
Vishnu Rajan, Global Markets Data Management, Bank Of America Merrill Lynch
Vall Herard, Co-founder and CEO, Saifr
Marc Gilman, General Counsel and VP of Compliance, Theta Lake

Fireside Chat: The Architect’s view: De-risking and delivering Agentic AI at enterprise scale

• What are the biggest architectural bottlenecks when scaling Agentic AI from PoC to enterprise-level production?
• How can firms ensure transparent, auditable “chains of reasoning” for AI-driven compliance decisions to meet regulatory expectations?
• Where are firms seeing the fastest and safest ROI from decision automation — and where must humans stay firmly in the loop?
• What governance, explainability, and auditability requirements should compliance teams mandate from their AI product managers and engineers?
• How should firms decide when to build proprietary AI vs buy specialist RegTech tools to balance innovation, control, and compliance?

Interview with: Konstantinos Rizakos, Adjunct Professor of AI Product Management, NYU Stern School of Business
Interview by: Kerry Gendron, Managing Director, Head of Product, Surveillance Innovation, JPMorgan Chase

Keynote Fireside Chat: Navigating crypto and digital assets with RegTech

• What are the most critical global regulatory and policy shifts impacting crypto and stablecoins right now?
• How is AI actively transforming AML, surveillance, and fraud detection in the digital asset space?
• What data management strategies are essential for scaling compliance and reporting in the high-volume crypto environment?
• What unique compliance hurdles face traditional finance integrating digital assets, and how does RegTech bridge the gap?

Interview with: David L. Hirsch, Partner, McGuireWoods LLP & Former SEC Enforcement Senior Officer
Interview by: Kathryn Zhao, Professor in Cryptocurrency & Blockchain Technology, Cornell University

Panel: Addressing financial crime and AML with RegTech

• How can firms leverage RegTech to align with the FinCEN priorities under the AML Act of 2020 and evolving CDD rules?
• What are the challenges and opportunities in deploying AI and automation to detect complex typologies such as synthetic identity fraud and trade-based money laundering?
• How are firms approaching model validation, governance, and explainability for AI-driven AML tools in light of regulatory scrutiny from SEC, OCC, and FINRA?
• What frameworks are leading U.S. institutions using to modernize legacy AML systems and ensure integration with digital asset surveillance tools?

Moderator: Alex Ford, Co-Founder, Women in RegTech NY (WIRTNY)
Anna Crankshaw, Senior Director, Enterprise Onboarding Platform, BNY
James Stubbs, Former Global Head AML Programs, State Street
Chandrakant Maheshwari, FVP, Lead Model Validator, Flagstar Bank
Andelija Milas, Head of KYC Process and Production, ING

Panel: The end of manual compliance? How to build, govern and trust an AI driven regulatory change programme

• Beyond horizon scanning – How are firms successfully teaching AI to map new, unstructured regulatory text to their own specific internal controls, policies, and procedures?
• What does a robust governance framework look like for safely using AI models in the regulatory change lifecycle?
• Mapping a fragmented data landscape: What are the foundational data management steps and strategies needed to create a machine-readable, centralised, and trustworthy library of your firm’s own obligations and controls?
• Evolving role of the compliance officer: What new skills and training are essential for compliance teams to thrive alongside these powerful new tools?

Moderator: Mary Kopczynski, Co-founder, Women in RegTech New York (WIRTNY)
Konstantinos Rizakos, Adjunct Professor of AI Product Management, NYU Stern School of Business
Christa Rapoport, Partner, Gonzales Taplin
Dave Loeser, Senior Vice President, Product Management, COMPLY

Keynote: From data burden to data partnership: Reimagining regulatory reporting in a dynamic landscape

• How are regulatory reporting expectations evolving and how should market participants prepare?
• What are the most common data management challenges the Federal Reserve observes across institutions
• What does a machine-readable reporting future look like and how is the Fed helping to define “future-ready” data management standards?
• How can firms harness RegTech to enhance regulatory data submissions without compromising control or explainability?
• What practical steps can financial institutions take now to prepare for a future of data-driven regulatory reporting?

Patricia Selvaggi, Assistant Vice President Statistics Function, Federal Reserve Bank of New York

Panel: Best practices for streamlined and agile regulatory reporting

• Beyond the silos: What does a truly unified data strategy for reporting look like?
• The ‘no-touch’ report: Is full automation a realistic goal or a costly distraction?
• With a heightened focus on transparency, how are firms developing capabilities to demonstrate end to end data lineage, including integrating automated validation controls, metadata tracking, and proactive data quality management?
• Agile in practice: How can cloud based, SaaS solutions help firms respond to regulatory change in days, not months?
• From cost centre to value driver: Can regulatory data be leveraged for business insight?
• The AI opportunity: Where can AI and Machine Learning make the biggest impact in regulatory reporting?

Moderator: Kenneth Lamar, Principal Partner, Lamar & Associates LLC
Joshua Beaton, Head of Trade and Transaction Reporting, Wells Fargo
Brett Utnick, Director – Head of North America Technology & Operations Regulatory Solutions Group, BMO
Ban Ghosh, Global Head of Regulatory and Controls Technology, Scotiabank
Akshata Nayak, Director, UBS
Paul Liesching, Chief Revenue Officer, 1Global

Panel: The data backbone of defence – powering next generation surveillance

• What does a best practice governance framework for surveillance look like?
• Analysing false positives remains a huge operational drain.  How can data management advanced analytics sharpen the focus?
• The holistic data challenge: What are the key architectural and data integration strategies for breaking down silos to achieve a unified view across disparate datasets – trades, e-comms, voice?
• Future proofing: How should firms evolve their data management and surveillance infrastructure to manage the incoming data landscape e.g T+1 and new data types e.g. digital assets?
• AI in the trenches: What is the essential groundwork that must be laid before an organisation can realistically expect to achieve a positive ROI on its AI investments in surveillance?
• Demonstrating compliance: how do you build a defensible data story for the Regulator?

Moderator: Dessa Glasser, Independent Board Member, Oppenheimer Holdings
Sepehr Irandoost, Head of Global Surveillance Calibration and Effectiveness, Bank Of America
Reinaldo Ynchaustegui, Former Chief Technology Officer, Asset Management Firm
Patrick Palomo, Principal Solutions Architect, Smarsh

Champagne Roundtable Sessions: These provide a unique opportunity for deep-dive, interactive discussions with peers and industry leaders on some of the day’s most important themes.

1: Regulatory surveillance for modern comms: Voice, chat, and collaboration in a regulated world

• How are firms adapting surveillance frameworks to capture and analyse new forms of digital communication?
• How can firms balance privacy, employee experience, and regulatory expectations in modern comms monitoring?
• What innovations in RegTech are helping to proactively detect misconduct while reducing false positives?

Host: Marc Gilman, General Counsel and VP of Compliance, Theta Lake 

2: AI for Regulatory Change Management: Reducing False Positives and Enhancing Insight

• Where are firms seeing the most meaningful efficiency gains from AI in regulatory change and compliance – and what aspects remain hardest to scale?
• How can firms maintain explainability and regulatory trust as AI plays a larger role in risk detection, horizon scanning, and policy mapping?
• What does a successful partnership between firms and vendors look like when embedding AI into compliance operations and governance frameworks?

Host: Mary Kopczynski, Co-founder, Women in RegTech New York (WIRTNY)
Host: Dave Loeser, Sr. Vice President, Product Management, Comply

3: Regulatory reporting reinvented – Building transparency and strategic value through data lineage

• How are firms using data lineage to unify fragmented reporting data and create a trusted, auditable foundation for compliance?
• Where does AI add the most value in automating lineage, improving data quality, and enabling smarter, faster regulatory reporting?
• How can transparent lineage turn regulatory data into actionable business insight and strengthen collaboration with regulators and vendors? 

Host: Murali Duvapu, Data Governance Executive, Scotiabank

4: Modernising Financial Crime Compliance: AI, Explainability, and Emerging Risks

• How are firms applying AI to detect sophisticated typologies like synthetic identities, trade-based money laundering, and digital asset risks?
• What does effective model validation and explainability look like under increasing scrutiny from regulators such as FinCEN, SEC, and OCC?
• How can firms modernize legacy AML systems to better integrate with digital surveillance tools and real-time compliance reporting?
• What lessons are emerging from firms successfully combining human expertise with AI-driven detection tools?

Host: Alex Ford, Co-Founder, Women in RegTech NY (WIRTNY)
Host: Vall Herard, Co-founder and CEO,Saifr

5: AI for Compliance: Reducing false positives, enhancing insight

• Where are firms seeing the most tangible gains from AI in compliance – and what’s hardest to scale?
• How can transparency and explainability be maintained as AI takes on a greater role in risk detection?
• What are the skills and capabilities most critical for compliance, risk and surveillance professionals in an AI-enabled environment?
• What does an effective collaboration model between firms and vendors look like for advancing AI-driven compliance?

Host: Minerva Tantoco, Independent, AI Specialist

Ends