EX.IO Lab Unveils AI-Driven Agentic Payment Proof of Concept at Hong Kong FinTech Week

EX.IO Lab has demonstrated an Agentic Payment proof of concept at Hong Kong FinTech Week, successfully using AI agents to bridge the gap between traditional bank accounts and digital asset investments. For fintech professionals, this represents a shift from AI as a research tool to an active transactional layer capable of coordinating complex cross-platform fund movements.

What was announced

EX.IO Lab, the innovation division of the Hong Kong-regulated virtual asset trading platform EX.IO, showcased an end-to-end workflow driven by AI agents. The demonstration, conducted within a bank’s sandbox environment, illustrated how an agent could move funds out of a traditional bank account to subscribe to real-world asset (RWA) products on the EX.IO platform. This process integrates analysis, funding, and execution into a single automated sequence, requiring explicit user authorization and defined risk limits.

The initiative aligns with broader industry frameworks, such as Google’s Agent Payments Protocol (AP2) and 2025 initiatives from Visa and Mastercard focused on agent verification and payment credentials. In the local context, the proof of concept supports the Hong Kong Monetary Authority’s (HKMA) Project SAGE, which explores Agentic Finance under proportionate governance. The demonstration specifically targeted RWA products, which EX.IO offers to cater to various liquidity needs and risk appetites. By automating the transition between banking and investment apps—a process that is currently fragmented—the project aims to improve capital efficiency for individuals and corporate treasury management. This development follows the HKMA’s launch of EnsembleTX in 2025, which moved tokenized deposit trials into real-value transactions within a controlled environment.

The companies involved

EX.IO is a regulated virtual asset trading platform (VATP) that secured its full license from Hong Kong’s Securities and Futures Commission (SFC) in December 2024. It was among the first group of platforms to transition from the "deemed-to-be-licensed" status to a full regulatory framework. Notably, EX.IO is the only VATP selected for the program managed by Hong Kong’s Office for Attracting Strategic Enterprises (OASES), highlighting its role in the region's push to become a global hub for digital assets. EX.IO Lab serves as the innovation arm of the platform, focusing on the intersection of AI and blockchain technology.

The Hong Kong Monetary Authority (HKMA) serves as the region's central banking institution and has been a primary driver of financial innovation through its sandbox environments and Project SAGE. The HKMA has recently focused on the intersection of AI and tokenization, releasing discussion papers on the use of Agentic AI within the banking sector. These efforts are part of a wider strategy to integrate tokenized money market funds and real-time liquidity management into the mainstream financial ecosystem, often collaborating with major technology firms and local retail banks to test these emerging workflows.

What FF News has reported before

FF News has closely followed the evolution of Hong Kong’s digital asset and AI landscape. We recently reported that Mox Bank Backs HKMA’s Project SAGE to Drive Responsible Agentic Finance Innovation, signaling appetite among digital-native banks for AI-driven workflows. The broader trend of institutional adoption was also evident when Tencent Cloud Joins HKMA Agentic Finance Group to Revolutionize Investment Research. Furthermore, the HKIB Annual Banking Conference 2026: AI and Tokenisation to Define the Bank of Tomorrow highlighted how these technologies are converging to reshape treasury functions. Additionally, regional players are seeking global influence, as seen when HashKey Joins DTCC Digital Assets Advisory Group as First Asian Member.

What this means

This demonstration moves the "Agentic AI" conversation from theoretical productivity gains to the actual movement of value. By connecting the banking layer directly to the investment layer via an AI intermediary, the industry is addressing the "last mile" problem of digital finance: the friction of manual execution. This puts significant pressure on traditional wealth management platforms that rely on manual user intervention and siloed applications. However, it raises critical questions regarding liability and "hallucination" risks in financial transactions. While the efficiency gains for corporate treasury and idle retail funds are clear, the regulatory burden for verifying agentic intent will likely become the next major hurdle for the sector.