Financial institutions and digital asset service providers are increasingly exploring new use cases across tokenised deposits and securities, stablecoins, prediction markets, AI-enabled services, and agentic commerce. As these technologies move from experimentation into real-world deployment, the challenge is no longer only how to unlock new business models, but how to leverage the compliance, data, and control environment that enables them to scale safely across markets.

This workshop will bring together banking, digital asset, and regulatory-reporting perspectives to explore how institutions are preparing for this shift in practice. The discussion will look at the new compliance questions created by these use cases across areas such as AML/CTF, tax transparency and reporting, customer documentation, transaction data, and cross-border regulatory requirements, using the Crypto-Asset Reporting Framework (CARF) and the amended Common Reporting Standard (CRS) as concrete examples of how reporting obligations are evolving alongside the technology.

The session will also examine the opportunity on the other side of the equation: how institutions can use automation, AI and modern compliance infrastructure not only to enable new products, but to make compliance itself more scalable. Attendees will leave with practical perspectives on operating models, data architecture, and technology choices needed to support increasingly tokenised and autonomous 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

.

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

.

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)

.

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)

.

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

.

5:50pm - 5:55pm

Closing Remarks

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

As AI agents move from making recommendations to executing transactions, financial institutions face a practical question: how can they support autonomous commerce safely and at scale?

The panel will examine what happens when an agent must identify a counterparty, obtain authorisation, initiate a cross-border payment, select an appropriate form of digital money and settle within defined risk parameters. The discussion will explore what safeguards financial institutions need before they can trust AI agents to make and settle payments on their behalf.