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Daniel Ross
Head of AI Compliance Strategy
Dynamo AI
View LinkedIn profileDan Ross, Head of AI Compliance Strategy at Dynamo AI, focuses on aligning AI, policy, risk management, and business application. Dan regularly engages global policy makers on AI risk management and compliance, and oversees a number of Dynamo’s most consequential AI security and compliance deployment efforts. Prior to Dynamo AI, Dan spent close to a decade at Promontory Financial Group, a premier risk and regulatory advisory firm, focused on data and technology risk, where he advised global financial institutions and governments. He has also held technology strategy and management consulting leadership positions at Deutsche Bank, Bank of America Merrill Lynch, and Accenture. Dan studied Economics at Vanderbilt University and lives with his wife and Lagotto Romagnolo in New York.
Speaking At
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9:15–10:45amTue 17 NovPublic-Private RoundtableRoundtable Room 2Invite-Only
Accountability & Liability In Agentic Systems
PathFin.ai: From AI Adoption to Business Transformation
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Alvin EngManaging Director, Head of Enterprise AI, Innovation GroupUOB
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Amanda OngSingapore Chief Executive Officer & Global Head of PartnershipsArta Finance
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Amber Henderson-SmartGlobal Head of Client Connectivity, Global Payment SolutionsHSBC
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Daniel RossHead of AI Compliance StrategyDynamo AI
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Samir RathChief Executive OfficerBlue Fire AI
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Victoria Sanchez-TerryRegional Head of Innovation Asia PacificBNY
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Xu HaohaoHead of International Financial Public AffairsTencent
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Dr. Yao YuhuiGroup Chief Data OfficerFWD Group
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Eugene GohDeputy DirectorMonetary Authority of SingaporeModerator
About this session
Financial institutions have moved beyond AI experimentation to early deployment across client engagement, operations, risk management, compliance and investment workflows. As adoption accelerates, the challenge is no longer whether to use AI, but how to embed it across the enterprise in ways that deliver measurable business value. Success will require more than technology deployment. It will depend on how institutions redesign workflows, develop talent, evolve operating models and integrate AI into day-to-day decision-making and execution.
Building on the momentum of PathFin.ai, which has engaged over 500 financial institutions and AI FinTechs, this roundtable brings together industry leaders to share lessons from AI adoption at scale. Participants will discuss how institutions are translating AI investments into productivity gains and business outcomes, preparing their organisations for increasingly agentic operating models, and balancing innovation with accountability, resilience and trust. The discussion will also explore the partnerships, capabilities and industry resources needed to accelerate enterprise-wide AI transformation across the financial sector. -
