FSI & AI Hong Kong Summit
AI is redefining the future of BFSI. Be it revenue generation, customer services, internal operations, risk management, or security, AI is recrafting what is possible and impacting profitability. To realize its benefits, 75% of banks in HK have deployed AI while insurance companies are seeing more varied maturity.
To truly embrace AI, financial institutions need to change their organizational structures and ways of working. And for AI and data leaders in such companies, trust, compliance, governance, IT infrastructure, talent and skill gaps remain hurdles despite fast-paced technology advancements. While we are now pitching AI against AI in countering risks, overcoming silos, and ensuring accuracy, humans remain critical in setting strategies, directions, and policies.
The 3rd annual FSI & AI Hong Kong Summit offers an effective platform for AI and data leaders in banking, financial services, and insurance to accelerate the next phase of AI. Through presentations and panel discussions, the summit aims to help companies adopt AI responsibly, maximize its benefits and ensure governance and independence in a highly regulated environment.
This Summit is for all professionals involved in AI/ML, data, digital, and IT, in the banking, insurance, financial services, and virtual asset industries. They include:
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Chief Data Officers
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Chief AI Officers
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Chief Analytics Officers
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Chief Digital Officers
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Chief Information Officers
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Chief Technology Officers
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Chief Transformation Officers
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Chief Innovation Officers
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Chief Customer Officers
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Chief Compliance Officers
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Heads of AI
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Heads of Data Science and Analytics
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Heads of Governance, Risks and Compliance
AGENDA
Financial institutions are integrating AI into the core of their operations, elevating humans to supervisory roles while delegating routine workflows to AI. Yet, this enterprise-wide reinvention is not without risks. From IT infrastructure and computing power, to AI hallucination and talent skill gaps, can financial institutions maintain control in the age of agentic autonomy? A consultant will share his/her perspectives.
With AI agents being integrated into the workforce, financial institutions are progressing to the natural next step of orchestrating them together. Yet, some opt that neither human nor non-human workforces are ready for such levels of AI autonomy, resulting in a significant increase in risk. This panel will discuss:
- The state of Agentic AI readiness in Hong Kong: Deployment, governance, and maturity
- Mitigating the digital risk of AI autonomy
- Perfecting human oversight: Speed, processes, and skill gaps
- Monitoring AI performance, accuracy, and consistency with AI at a scalable level
While the selection of a large language model (LLM) is crucial for an enterprise transitioning toward private AI, numerous other important steps are also involved. In today’s talk, the speaker will share these additional steps and briefly explain the rationale behind such a design.
Speaker:

The landscape of customer experience is rapidly evolving, shaped by technological advancements and shifting organizational priorities. In order to anticipate demand and respond quickly, organisations will need to transform and enhance their capabilities to anticipate customer demands. The shift to an AI-first customer experience strategies allow organizations resolve issues faster, support agents more effectively, and deliver experiences customers actually trust. Discover how you can turn AI innovation into business acceleration – empowering your organisation to automate workflows, orchestrate journeys, and elevate every customer interaction through intelligent, connected AI agents.
In view of the fast-changing external environment, financial institutions strive to maintain business resiliency and regulatory compliance. And when it comes to technology, the notions of digital sovereignty and AI sovereignty are essential to independence and control. Yet for those that are operating in multiple jurisdictions with evolving regulations, it can be a complex endeavour. This panel will explore:
- The level of digital sovereignty financial institutions need
- Architecting resiliency beyond data storage
- Balancing between the pace of innovation and control
- Addressing supply chain risk in AI projects
- Navigating complexity of multi-jurisdiction operations
Customer experience is entering a new phase defined by intelligent, proactive AI agents capable of reasoning, acting, and continuously improving outcomes. Yet while interest in AI is widespread, scalable success remains rare. In this roundtable, we will discuss:
- The State of Agentic AI – Where adoption stands today and what it means for the future of CX.
- Your Agentic AI Journey – What scalable deployment looks like and how to move beyond pilots.
- Agentic AI in Action – Real-world examples of measurable business impact.
SPEAKERS
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