Roger Wang, Director of the Partner Development Department, Huawei Digital Finance BU, and Saber Chen, Chief Product Officer (CPO) of FanRuan, attended the launch ceremony together.

The solution integrates Huawei’s digital infrastructure, including servers and Lakehouse Architecture, with FanRuan’s FineBI and FineChatBI analysis platforms to create an end-to-end workflow from data access to model inference and strategy execution.

It supports natural-language data retrieval for frontline staff, enabling faster access to key indicators; intelligent reporting that combines large language model parsing with FineBI visualisation; and AI-driven decision support that links business logic with model reasoning to automate analysis and early-warning processes.

Huawei and FanRuan said the solution reflects their shared commitment to industry collaboration.

With Huawei’s computing capabilities, the system lowers the barrier for enterprise data access and improves data utilisation.

According to the companies, a commercial bank using the solution reduced data-cleaning and query work from several days to seconds through natural-language queries, significantly increasing analysis efficiency.

By combining Huawei’s infrastructure with FanRuan’s data-intelligence tools, the companies aim to help financial institutions shift from simply viewing data to actively using it, supporting more effective decision-making and ongoing digital transformation.

Featured image credit: Huawei

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The venture aims to provide “Crystal intelligence,” an enterprise AI solution designed to improve management and operational efficiency across Japanese companies.

SB OAI Japan will integrate OpenAI’s technology with local implementation and system integration services to deliver Crystal intelligence exclusively in Japan, with commercial availability expected in 2026.

SoftBank Corp. will be the first to adopt the solution, testing its application in product development and business transformation before offering it to other organisations.

The venture builds on SoftBank’s ongoing shift towards becoming an AI-driven group, with employees already using around 2.5 million custom GPTs for internal operations.

Insights from these initiatives will inform the rollout of Crystal intelligence.

Sam Altman, CEO of OpenAI, said:

“This joint venture with SoftBank is an important step that will accelerate our vision for bringing advanced AI to some of the world’s most influential companies, starting with Japan.”

Masayoshi Son, Chairman and CEO of SoftBank Group Corp., said:

“This marks the start of a new era of innovation that will transform how people work and businesses are managed. Together with OpenAI, we’re driving the AI revolution to the next stage.”

Through SB OAI Japan, the partners aim to support the broader adoption of AI in Japan’s corporate sector.

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The company highlighted its efforts to advance the fintech sector through developments in cloud computing and AI.

Throughout the event, Tencent Cloud’s booth drew interest from financial institutions, technology partners, and industry professionals, featuring demonstrations of solutions including Tencent Yuanbao, the eKYC facial-recognition tool, the Agent Development Platform (ADP), and the CodeBuddy AI assistant.

These technologies aim to help financial institutions enhance security, improve operational efficiency, and support digital transformation across markets.

Tencent Cloud currently serves over 10,000 financial clients in 20 countries and regions, with nearly 400 overseas customers recording double-digit growth.

In Hong Kong, its partners include Futu Securities, Fusion Bank, Airstar Bank, AIA, and BOC (HK).

Recent collaborations involved assisting Fusion Bank with a core-banking system migration completed within 15 hours, and supporting Airstar Bank’s transition to full cloud operations to improve performance, cost efficiency, and agility under local compliance requirements.

Dr Yanxin Yu, Managing Director of Consulting at Tencent Cloud, delivered a keynote titled “Digital Convergence & Strategic Partnerships: Tencent’s Vision for Future-Proof Business” at the AI & Advanced Tech Forum.

The session examined how digital convergence is reshaping financial services and the importance of strategic collaboration.

“Financial institutions are successfully navigating an unprecedented era of digital transformation,”

said Dr Yu.

“The positive response we received at Fintech Week confirms that our intelligent cloud solutions and collaborative approach are effectively empowering businesses to lead innovation in the fintech landscape.”

Tencent Cloud representatives also took part in panel discussions.

Lorence Liao, Head of International AI Architecture, joined the session “From Core to Collaboration: Reinventing Banking Through Platforms and Partnerships,” discussing the shift from traditional systems to platform-based banking models enabled by cloud and AI.

Jared Jiang, Deputy General Manager, participated in “AI x Identity: Deepfakes, Trust, and the Future of Reality,” addressing digital identity security and methods to strengthen trust in financial transactions.

Additionally, the Hong Kong Fintech Week x Tencent Roundtable brought together industry leaders to discuss emerging trends and partnership opportunities, generating interest in Tencent Cloud’s approach to secure and innovative financial ecosystems.

Featured image credit: Tencent Cloud

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The solution aims to address gaps in the bond market, where analysis has traditionally been confined to high-level ratings from major agencies with limited coverage and insufficient insights for precise portfolio decisions. BondWise would change this by providing in-depth analysis at the individual bond level for every investor, from retail to institutional.

Dor Eligula, Co-Founder and Chief Business Officer of BridgeWise, shared,

“Our focus has always been to make complex financial data accessible and meaningful. With BondWise, we’re extending that approach to fixed income, bringing transparency and understanding to a market that has often felt unclear for many investors.”

BondWise reports would include textual explanations with comparative rankings across a variety of key parameters, which would make complex bond evaluation easy to understand.

Its users may also compare bonds across a given sector as well as the different bond types offered within a single company to find the right combination of low-risk, high-yield opportunities that balance safety and performance.

BondWise is powered by BridgeWise’s proprietary AI for investments, enabling expansive coverage across thousands of bonds, where data would otherwise be scattered or inaccessible.

Kelvin Phua, General Manager, Asia Pacific at BridgeWise, added on about the significance of BondWise in Hong Kong,

“In a market like Hong Kong, where bonds are increasingly part of the investment conversation, our AI-driven insights help institutions support both sophisticated clients and newcomers with the clarity they need to make informed decisions.”

BridgeWise provides investment intelligence to over 50 institutional clients and 25 million end users across more than 15 languages.

Aside from offices in Japan, Singapore, the US, London, Brazil, Thailand, Israel, and Dubai, BridgeWise also partners with global institutions, including Japan Exchange Group, SIX Swiss Exchange, B3, eToro, TASE, and Rakuten Securities.

Featured image: Edited by Fintech News Hong Kong, based on an image by digitizesc on Freepik

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Speaking on a panel with Christopher Hui, Hong Kong’s Secretary for Financial Services and the Treasury, and Fred Hu, Founder, Chairman and CEO of Primavera Capital Group, at the 10th annual Hong Kong Fintech Week on 3 November, Jing highlighted Hong Kong’s combination of policy innovation, commercial use cases, and cross-sector collaboration as a foundation for its global leadership.

Ant Group first entered Hong Kong when Chinese consumers and travellers began making cross-border payments online and offline via Alipay.

Today, the city remains a key hub for Ant Group and its affiliates, including Ant Digital Technologies, Ant International, and OceanBase.

“AI and tokenisation are the two of the most critical forces driving the evolution of financial services,”

said Jing.

“Hong Kong regulators are leading the global experiment in both areas through visionary and prudent policy mechanisms.”

“Financial services are data-rich and language-heavy, relying on precise communication of abstract and complex products. Nevertheless, the pace of change is faster and faster. In the mid-term, we will be able to see the rise of full AI financial managers supported by a comprehensive AI agent ecosystem,”

he added.

Jing also noted the potential of blockchain-based tokenisation technology for secure, real-time global settlement, improving trade efficiency.

“The trend for tokenisation in fintech is not for speculation, but for regulated institutions to work within the policy framework to improve real efficiency and transparency in value exchange,”

he said.

Ant Digital Technologies is participating in the Hong Kong Monetary Authority’s (HKMA) GenAI Sandbox to support banks’ adoption of AI agents and enhance risk management and anti-fraud capabilities.

In early 2025, AntDT launched several initiatives from its Hong Kong headquarters, including a joint AI and Web3 lab with Hong Kong Polytechnic University and opening its four core technologies to local industry partners.

It also completed a pilot Real World Asset project under HKMA’s Project Ensemble for China’s new energy sector.

Ant International has used its Whale blockchain platform for global liquidity management pilots with Standard Chartered and HSBC, enabling real-time cross-border, cross-currency settlements, and supported HSBC’s first global tokenised deposits solution for corporate clients.

Through Alipay+, the global wallet gateway service, AI payment and growth agents are being rolled out to 4.5 million active users and businesses in Hong Kong via AlipayHK, as well as partner wallets across Southeast Asia.

In October, Hong Kong launched the GoGlobal Task Force to support Chinese enterprises in expanding internationally.

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The event provided a platform for GenA.I. Sandbox participants to share insights and showcase their innovations through interactive exhibition booths.

Over 500 practitioners from banking, insurance and technology sectors attended, taking part in panel discussions with representatives from regulatory bodies, the Fintech Association of Hong Kong, banks, consultancy firms and technology companies.

Discussions focused on developments in genAI and their implications for the financial sector.

chats with virtual avatars explored potential future collaboration between banking professionals and AI.

The event also featured AI-powered live transcription, translation services and an interactive photo booth.

The HKMA presented the Report on the First Cohort of GenA.I. Sandbox, highlighting key findings from the initial cohort.

The report indicates genAI’s potential to enhance risk management, anti-fraud measures and customer experience, and offers technical guidance on model fine-tuning and guardrail implementation.

A pilot genAI chatbot was unveiled to provide interactive access to insights from the Sandbox, exploring knowledge-bound solutions that address concerns such as hallucinations and inaccuracies.

Eddie Yue, Chief Executive of the HKMA, said:

“The first cohort of the GenA.I. Sandbox has explored numerous innovative use cases, providing the banking industry with valuable insights into how AI can deliver tangible value for both banks and consumers. The insights have also guided the initiation of Project Noor, in collaboration with the Bank for International Settlements Innovation Hub (BISIH) and other like-minded regulators, with an aim to develop an explainable AI toolkit.”

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As part of the initiative, the Digital Agency will introduce Gennai, a new AI tool powered by OpenAI’s technology, for use by government employees to explore innovative public sector applications.

OpenAI has also contributed to a pilot programme launched by the OECD and the G7 to monitor the Hiroshima AI Process, led by the Japanese government.

The Hiroshima AI Process Comprehensive Policy Framework is the first international policy framework comprising guidelines and codes of conduct that promote the adoption of safe, secure, and trustworthy advanced AI systems.

It extends beyond the G7 to include governments, the private sector, academia, and civil society in Asian countries and emerging economies, supporting inclusive international governance of AI.

In line with Japanese government policies, OpenAI will also explore initiatives that support secure and reliable AI use in government, including efforts to obtain ISMAP (Information system Security Management and Assessment Program) certification.

Going forward, OpenAI stated it will continue to focus on safety, transparency, and international cooperation, and aims to deepen its partnerships with the Japanese government, local authorities, educational institutions, industry, and users to promote the responsible and sustainable use of GenAI in society.

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Ant Digital Technologies has joined the programme as a technology partner.

This cohort places emphasis on responsible AI governance, with use cases exploring “AI vs. AI” applications, using AI to perform automated quality checks on AI-generated outputs to enhance accuracy and consistency.

In response to rising concerns around deepfake-related fraud, the Sandbox will also test advanced defence mechanisms.

Through the GenA.I. Sandbox, Ant Digital Technologies will support several financial institutions in developing and implementing AI solutions for the financial sector.

Using its Agentar AI Agent Platform and mPaaS LUI module, Ant will assist Fubon Bank (Hong Kong) in exploring an AI-powered assistant aimed at improving personalisation, security, and interactivity in mobile banking.

Ant will also work with partners to test its ZOLOZ AI solution for identity fraud detection and prevention.

The system leverages GPU-accelerated infrastructure for model training and deployment, aiming to strengthen digital identity protection for financial institutions.

Ant Digital Technologies’ AI tools have been deployed to support digital transformation and risk management initiatives across the Guangdong-Hong Kong-Macao Greater Bay Area and have contributed to the HKMA’s Project Ensemble.

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Their joint project, the “Anti-Fraud Strategy Platform,” uses advanced AI to strengthen the detection of deepfake-related fraud, enhance risk management, and support fraud investigations to improve customer protection.

Within the HKMA’s sandbox environment, PAObank and OneConnect will continue refining the platform’s ability to identify deepfake technologies.

Using AI-powered facial recognition, the system verifies user selfies in real time, distinguishing between genuine and synthetically generated images to detect potential fraud and improve the bank’s risk controls.

Haibin Lin, Chief Technology Officer of PAObank, said,

“The experience we gain from this initiative will strengthen the industry’s ability to combat deepfake fraud, and we are committed to sharing our findings to support wider adoption of GenA.I. technologies across the banking industry.”

Ping An has consistently invested in AI research and development to support innovation across its businesses.

Serving about 247 million individual and over 4 million corporate clients, the Group leverages large-scale data resources as the foundation of its AI-driven solutions.

By June 2025, Ping An had accumulated more than 3.2 trillion textual data points, 310,000 hours of annotated audio data, and 7.5 billion images.

In the first half of 2025, the Group deployed large AI models in over 650 business scenarios, with 818 million usage calls, resulting in improvements in service efficiency, cost control, and risk management.

Its AI systems have enabled 94% of life insurance policies to be underwritten within seconds, handled 80% of customer service enquiries automatically, prevented RMB 6.44 billion in property insurance fraud losses, and supported AI-powered sales generating RMB 66.16 billion.

As Ping An’s fintech platform, OneConnect applies over three decades of the Group’s financial expertise and research capabilities.

Its AI-powered anti-fraud solution integrates more than 25 digital modules, including facial recognition, multi-country document verification, deepfake detection, and device risk assessment.

Designed in line with the HKMA’s e-banking security framework, the system has achieved a 99% success rate in defending against deepfake threats.

By mid-2025, OneConnect had served 214 enterprises across 21 countries and regions, becoming a trusted eKYC and anti-fraud partner for more than half of Hong Kong’s traditional retail banks.

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Mobile banking became expected, more processes went paperless, and many core systems were moved to the cloud (or at least parts of them).

Yet even with all that, many banks still haven’t completed that journey. Globally, over 80% of banks have not fully migrated both their core banking and customer-facing digital channels to the cloud.

A recent study also showed that while 91% of banks and insurers have initiated cloud transformation, more than half have moved only minimal portions of their core applications.

In Southeast Asia, 60% of banks report mature or building cloud capabilities, while around 30% are still exploring or planning.

Even so, there’s a growing recognition that doing digital (apps, automation, cloud shifts) isn’t enough.

But Huawei’s Jason Cao steps in with a different frame. He says the banking world is entering its AI era, one where an AI agent might be as much a “customer” of the bank as the human who owns it.

“In the digital time, it’s always you doing the decision but the process itself is automated,” he said.

The AI era, however, will be different. According to Jason, he argues that the decision-maker may well be the agent itself.

Banks, in other words, will need to learn how to satisfy not only customers but also the AI agents making choices for them.

That framing changes the conversation. It’s not just about faster service or cheaper operations anymore. It’s about rethinking who (or what) a bank is actually serving.

From Serving the Top Tier to the Long Tail

Banks have always concentrated their best services on their most valuable customers. Jason is convinced AI will make that model unsustainable.

Banking has long been built on a “20/80” dynamic, where a minority of clients enjoy the majority of services. Jason argues that AI could disrupt this pattern and open the door to more inclusive customer engagement.

“Even if you are a long-tail customer, you can have a dedicated wealth manager. If a bank can make that work, then all the other banks will follow.”

This, he argues, is the real structural change. Hyper-personalisation is becoming a serious competitive edge.

Once a few banks start offering long-tail customers the kind of attention once reserved for high-net-worth individuals, the rest will have to respond or risk losing relevance.

The Urgency to Move

Many institutions are dabbling at the edges of AI, but Jason insists the clock is already ticking. In some markets, especially China, AI agents are already part of day-to-day banking.

The CEO of Digital Finance BU for Huawei believes that once the pioneers can do that, all the other banks will soon follow.

The reason is simple. Costs are falling and capabilities are rising. What used to be prohibitively expensive is now becoming practical.

Jason says the era of “doing digital” was about efficiency. The era of “doing AI”, on the other hand, is about intelligence and reasoning.

Banks that delay the transition may find themselves playing catch-up not with peers, but with entirely new customer expectations set by agent-led interactions.

People and Machines, Together

Jason is careful not to frame this as a story of replacement. The more accurate picture, in his view, is collaboration.

“One person, one team, one position, and multiple agents as a system. This is the model,” he explained. “People, based on their experience, train the agent, and learn how to work with and govern the agent,” he continued.

The point is not to automate humans out of the process but to extend what they can do.

Staff in branches and contact centres will spend less time on repetitive work and more time directing, monitoring and shaping how AI agents perform.

That, in turn, will require new skills and new ways of working.

Jason, however, admits that such a transition won’t happen in a single snap of a finger.

“We have to look forward to what’s coming. It may take years, but we should move to that,” he said.

Making AI Adoption Less Intimidating

Huawei’s new FinAgent Booster, or FAB, is the company’s attempt to lower the barriers. He breaks it down into three promises:

“Easy to use, ready to use, and smooth to use.”

What does that mean in practice?

Fifty scenario-based workflows drawn from banking best practice. More than 150 modular components from partners that banks can plug into their systems.

And the performance to back it up. As of today, it has a 90% accuracy for intent recognition and millisecond-level response times when dealing with customers.

It’s a very Huawei approach, I would say. Modular, engineered, and performance-heavy.

The idea is to make AI adoption feel less like a giant leap and more like building blocks that banks can assemble at their own pace.

The Resilience Story

If there is one word Jason leans on heavily, it is resilience. He repeats it quite often, and he clearly sees it as Huawei’s differentiator.

“Bankers are very smart guys,” he said. “If your products are not good, they will not work with you.”

Despite a difficult six-year period, Huawei’s financial services arm has continued to expand, something the CEO of Digital Finance BU for Huawei links to the trust banks place in its resilience and future growth prospects.

That resilience has been stress-tested. The company has faced global challenges over the past few years, yet its financial services business has expanded.

Today, Huawei works with more than 5,600 financial institutions in over 80 countries, including 53 of the world’s top 100 banks.

Much of the credibility comes from its home market. Every major bank in China, Jason notes, has already undergone large-scale cloud transformation.

That gives Huawei a reference point that international banks pay attention to, especially in Europe, Africa and Latin America, where many are curious about how far they can push their own transformations.

Workforce Shifts Ahead

The deployment of AI agents inevitably raises questions about jobs. Some banks openly talk about reducing thousands of roles.

Jason doesn’t dismiss the possibility, but he emphasises that the bigger story is about reskilling and collaboration.

AI will take over certain functions, but the human role shifts towards oversight, governance and strategic decision-making.

For the industry, that means preparing staff not only for what AI can do today but for how it will evolve over the coming years.

A Sector in Transition

Jason’s tone is pragmatic rather than promotional, stressing that hesitation could cost banks dearly.

The digital chapter was about smoothing processes. The AI chapter is about rethinking who makes the decisions and how those decisions scale across millions of customers.

“In the AI time, the decision-maker will probably be your agent,” he reminds us.

That thought may feel like science fiction, but it is already moulding financial services in China.

For banks elsewhere, the choice is whether to treat it as a warning or as a head start.

Featured image: Edited by Fintech News Singapore based on images by MD.Laik alom mollik via Freepik and Huawei.

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