The next phase of AI in finance will not be defined by better models alone, but by institutions that can successfully embed AI into regulated business processes at scale. From compliance and risk management to customer servicing and agentic finance, AI is creating new opportunities to transform how financial services are designed, delivered and supervised. As institutions explore frontier AI capabilities, the challenge is no longer just building AI solutions, but operationalising them responsibly while maintaining trust, resilience and accountability.
 
Many financial institutions face similar challenges in developing, evaluating and deploying AI, yet often tackle them independently. Through BuildFin.ai, financial institutions, technology providers and research institutes are collaborating to develop and scale frontier AI capabilities within established regulatory and risk management frameworks. This includes the development of the MindForge AI Risk Management Toolkit, which provides practical guidance, industry case studies and implementation insights, as well as the SAFR (Safeguards for Agentic Finance at Runtime) framework, which explores safeguards for AI-enabled financial activities. This roundtable brings together members of the BuildFin.ai community and industry leaders to exchange lessons from the front lines of AI deployment and discuss how collaboration can help accelerate the responsible adoption of AI across financial services.

How can financial institutions scale AI while maintaining trust, managing risk and establishing clear accountability?

Drawing on more than a decade of AI deployment, JPMorganChase’s inaugural Insights2040 policy forum brings together regulators, policymakers and industry leaders to explore what responsible AI adoption looks like in practice.

With a focus on Asia Pacific, the forum will examine how policy, regulation and industry collaboration can support innovation while addressing model risk, governance and oversight. Discussions will explore the move from experimentation to enterprise-wide deployment, including AI literacy, workforce readiness and the safeguards.

Attendees will also receive a limited preview of the Agentic Assurance Initiative, a collaboration exploring a standard way to demonstrate an AI agent’s reliability. The forum will offer perspectives on scaling adoption, governing agentic AI and strengthening cooperation between the public and private sectors.

4:00pm - 4:05pm

Welcome & Opening Remarks

Speaker: Daniel Wu, Executive Director, AI & Data Policy, Asia Pacific, JPMorganChase

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4:05pm - 4:15pm

Keynote: Driving Trust and Transformation: The Future of AI in Finance, Banking, and Beyond

AI transformation now touches every corner of the firm. What began as an experiment to put AI tools in people’s hands has become a company-wide ecosystem. This scale has afforded the firm insights on what it takes to enable the collective success of enterprises, economies, and communities to benefit from AI adoption and diffusion. This keynote will share the firm’s perspective on the path forward, the unique role for the financial sector to shape AI policy and regulation, and a call to action for our shared AI future.

Speaker: Deep Thomas, Chief Data & Analytics Officer, APAC, JPMorganChase

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4:15pm - 4:45pm

Fireside: The Past, Present, and Future of AI Policy and Regulation

This fireside chat brings together regulators to discuss the fast-evolving AI policy and supervisory agenda. Reflecting on key documents such as the Financial Stability Board Sound Practices for Responsible Adoption of Artificial Intelligence, speakers will reflect on the converging expectations around consistent and demonstrable governance – clear accountability, model risk management, data provenance, and ongoing monitoring – against the evolving technology, deployment, and risk management landscape. Speakers will also offer a systemic view on how to understand and remain updated on the opportunities and risks of AI, and respond with the appropriate adoption strategy and guardrails without constraining future innovation.

Speaker(s): Sunayna Tuteja, Former Chief Innovation Officer, Federal Reserve System, Amy Lee, Head of Fintech Hub, Bank of England, Christine Graham, Head of AI & Data Regulatory Affairs, JPMorganChase (Moderator)

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4:45pm - 5:30pm

Panel: Governed to Grow: How to Make Speed and Safety a Force Multiplier

Speed and safety work together, and the organizations that get the balance right will build a lasting competitive advantage. This session covers the full life cycle of AI, with practical insights for those who build, supervise, and rely on these systems. Panelists will also take up the questions business and technology leaders are asking now: how to build in governance and trust from the start, how to scale, how to drive adoption and raise AI literacy, and how to drive and scale collective success across the ecosystem.

Speaker(s): Gautam Gorki, Chief Analytics Officer, APAC, JPMorganChase, Vijay Jairaj, Head of Strategic AI Governance and Enablement (SAIGE), APAC, JPMorganChase, Tahir Zafar, Head of AI Strategy, APAC, JPMorganChase (Moderator)

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5:30pm - 5:50pm

Presentation: Limited Preview of Agentic Assurance Initiative

This session will offer attendees a preview of a joint collaboration between JPMorganChase, MLCommons, and AI Verify Foundation on an AI agent assurance initiative to provide a standard way to evidence an AI agent’s reliability. This session will share early findings and outline the path toward completion.

Speaker(s): Mike Hsu, Former Acting Comptroller of the Currency, MLCommons, Lee Wan Sie, Executive Director, AI Verify Foundation

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5:50pm - 5:55pm

Closing Remarks

Speaker: Daniel Wu, Executive Director, AI & Data Policy, Asia Pacific, JPMorganChase

When an AI agent acts on your behalf, who is accountable if something goes wrong?

AI agents are beginning to make transactions, verify identities and take action without a person approving every step. This raises new questions for the systems we rely on to establish trust: How do we verify who, or what, is behind an agent? Who is responsible for its decisions? And how can trust standards work across borders when agents operate globally but regulation remains local?

This workshop brings together industry practitioners, an academic researcher and a global policy convenor to explore these questions through developments in commerce and compliance. Drawing on emerging approaches such as Know Your Agent frameworks, speakers will discuss where risks are appearing, how identity and accountability can be established, and what governance needs to look like as adoption grows.

The discussion will offer participants a clearer understanding of the emerging risks and the safeguards needed to build trust in the agentic economy.

Globally, regulators are each moving ahead with their own AI governance tracks, ranging from voluntary frameworks to draft legislation and sector-specific rules. This growing regulatory fragmentation, if not managed well, could raise the compliance burden for regional fintechs and banks, and ultimately undermine broader goals of achieving integrated digital markets, with multinational financial institutions having to account for different risk-classification, testing, and disclosure regimes in their AI use-cases.

Using Southeast Asia as a case, this roundtable takes stock of how ASEAN member states regulate and supervise AI in financial services, and where closer alignment is within reach. Participants, including ASEAN central banks, banking associations, and regional financial institutions, will discuss the most pressing near-term opportunities to leverage and challenges to address.

Roundtable outputs will feed into efforts to build a long-term implementation roadmap to facilitate greater alignment across AI governance in ASEAN, with lessons relevant to any region working to bring AI rules closer together.