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千峰访谈Payful CEO Jonathan Ye:跨境支付正从“费率竞争”转向“本地化深度竞争”

作者:亿邦动力 文章来源:亿邦动力

2026-11-09 13:40

作者:亿邦动力 文章来源:亿邦动力

2026-11-09 13:40

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总1:这篇文章最值得关注的是跨境支付竞争逻辑正在变化,AI和全球化把支付从通道生意变成智能基础设施,费率竞争转向本地化深度竞争。

1.Payful定位全球新兴市场金融专家,以香港为支点连接中国企业与新兴市场,国际业务布局约10年;持有多个本地支付牌照,本地收款覆盖巴西墨西哥等,支持30+币种,业务覆盖100+国家和地区,服务18万+商户。

2.业务围绕跨境电商、外贸B2B、服务贸易、企业全球支出四类客群,提供多币种虚拟卡和企业支出管理,客户可在同一平台完成收换付结。

3.AI已落到商户服务、风控合规、资金路由、经营自动化四个环节,Ask AI覆盖七大业务场景7×24应答,AutoFlow可用一句自然语言指令拆解触发条件与执行动作。

4.实操建议是先在选定市场把合规做透再谈规模,AI从最高频最耗人力环节切入,善用生态合作,不要单打独斗。

总1:品牌定位与竞争壁垒方面,Payful以全球新兴市场金融专家为定位,以香港为支点连接中国企业与全球新兴市场,强调分地区分场景有治理的金融基础设施网络,品牌差异化不靠单一费率而靠本地化深度和合规实战。

1.价格竞争上,行业从费率竞争转向本地化深度竞争,欧美成熟市场是红海,增量在新兴市场,门槛在牌照清算网络与合规体系,难以靠补贴速成。

2.产品研发上,2025年成为Visa发卡会员,Payful Card覆盖Visa Mastercard Diners Club等卡网络,提供多币种虚拟卡和企业支出管理;上线Ask AI与AutoFlow,把收换付结和资金管理做成平台能力。

3.渠道建设上,与Flutterwave GME星展银行等全球金融基础设施合作,强调嵌入本地金融与商业生态,借助伙伴网络资质和文化理解落地。

4.用户与趋势上,跨境电商外贸B2B服务贸易企业全球支出是基本盘,AI短剧AI工具等AI原生企业成为重要客群,新兴市场电商增速快但支付基础设施薄弱,本地化体验包括本币付款免中间行费用最快T+0到账。

总1:对卖家而言,文章给出的增长市场和机会在新兴市场,东南亚拉美非洲是重点,同时覆盖北美欧洲日韩等成熟市场;新兴市场电商增速快但支付基础设施薄弱,币种小清算割裂监管差异大。

1.机会上,本地收款网络覆盖巴西墨西哥等,支持30+币种和本地主流支付方式,让当地买家用本币付款、商户免中间行费用,最快T+0到账,多币种统一账户管理有助于降低跨境收款与付款摩擦。

2.风险上,监管碎片化是最大外部障碍,同一业务模式在不同国家可能要重做合规架构,新兴市场门槛不在价格而在牌照清算网络与合规体系,不能靠补贴速成。

3.可学习点是合规先行,进入市场前先拿资质建本地合作,宁可慢一步也不踩线;采用牌照矩阵加本地收付通道加全链路闭环,把收换付管一站解决。

4.合作方式上,与本地银行清算网络电商平台及Flutterwave GME星展银行等伙伴合作,借助本地网络和文化理解快速落地,同时关注AI原生企业用虚拟卡支付海外广告云服务订阅费用。

总1:工厂可从中看到跨境经营数字化和电商化的现实路径,核心不是单独买一个支付通道,而是把多币种账户、本地收款、换汇、全球付款、企业支出管理和合规风控连成一条能力链。

1.商业机会上,Payful聚焦跨境电商外贸B2B服务贸易和企业全球支出,服务18万+商户,覆盖100+国家和地区,支持30+币种;工厂做外贸B2B或跨境电商时,可借助本地收款账户和本地付款通道进入东南亚拉美非洲等新兴市场。

2.产品与设计需求上,Payful Card提供多币种虚拟卡及企业支出管理,覆盖Visa Mastercard Diners Club等卡网络,可用于海外广告投放云服务订阅等企业支出,说明支付产品正向场景化卡产品和支出管理延伸。

3.数字化启示上,AI已用于多法域KYC AML审核、交易背景筛查、资金路由和经营自动化,AutoFlow可把一句自然语言指令拆成触发条件执行条件执行动作;开放API可把收付换卡能力嵌入ERP和经营系统,让支付数据直接驱动经营决策。

4.落地提醒是合规先行,先把选定市场的资质和本地合作做透,再谈规模,AI从最高频最耗人力环节切入,善用生态而非单打独斗。

总1:服务商应关注跨境支付行业趋势已从通道数量和费率竞争转向本地化深度竞争,AI与全球化把支付重塑为智能基础设施生意,竞争关键是合规自动化资金路由智能化和结算实时化。

1.客户痛点包括新兴市场币种小清算体系割裂监管规则差异大,监管碎片化导致同一业务模式要在不同国家重做合规架构,复合型人才稀缺,商户过去找答案依赖人工,资金调度依赖人工经验。

2.解决方案上,Payful以牌照矩阵加本地收付通道加全链路闭环构建能力,本地化分资质本地化通道本地化合作本地化三层,支持30+币种100+国家和地区,服务18万+商户。

3.新技术上,Ask AI基于官方帮助中心知识库覆盖七大业务场景7×24自然语言应答,AutoFlow把一句自然语言指令拆解为When If Then自动化工作流,自研风控系统自动化完成多法域KYC AML审核和交易背景筛查,系统按币种金额目的地自动匹配最优资金路径。

4.服务启示是先把合规与运营经验沉淀为系统能力,采用总部专家加本地团队,开放API嵌入商户ERP与经营系统,与本地银行清算网络电商平台及Flutterwave GME星展银行等生态伙伴合作。

总1:对平台商而言,文章显示商户对支付平台的需求已从单一收款通道升级为一站式全球资金管理,要求多币种账户本地收款本地付款换汇全球付款企业支出管理和合规风控在同一平台完成。

1.平台最新做法是牌照本地化加全链路闭环,2025年成为Visa发卡会员,Payful Card覆盖Visa Mastercard Diners Club等卡网络,业务覆盖100+国家和地区,服务18万+商户,围绕跨境电商外贸B2B服务贸易企业全球支出四类客群构建基本盘。

2.运营管理上,Ask AI覆盖电商收款外贸B2B Payful卡服务贸易货币兑换全球付款全球收单七大场景,7×24自然语言应答;AutoFlow支持一句自然语言指令自动拆解触发机制执行条件和执行动作;风控合规资金路由由系统自动化完成,开放API可嵌入商户ERP和经营系统。

3.招商与客群拓展可关注AI短剧AI工具等AI原生企业,它们用Payful卡支付海外广告云服务与订阅费用;新兴市场重点为东南亚拉美非洲,成熟市场覆盖北美欧洲日韩。

4.风向规避上,把合规先行作为扩张纪律,进入市场前先拿资质建本地合作,宁可慢一步也不踩线;监管碎片化下避免靠补贴速成,重视牌照清算网络和本地生态合作。

总1:研究者可关注跨境支付产业新动向,即AI与全球化共同驱动支付从通道生意转向智能基础设施生意,行业竞争从费率竞争转向本地化深度竞争,未来两年行业分化可能明显加剧。

1.新问题包括监管碎片化,新兴市场监管规则更新快且差异大,同一业务模式在不同国家可能要重做合规架构;复合型人才稀缺,既懂支付合规又懂本地市场还能驾驭技术体系的人才稀缺;新兴市场还存在币种小清算体系割裂支付基础设施薄弱等问题。

2.商业模式上,Payful形成牌照矩阵加本地收付通道加全链路闭环,本地化分资质通道合作三层,以多币种账户本地收款及支付方式覆盖换汇全球付款企业支出管理合规风控构成能力链条,并推进双向数智化,对内用AI重构服务运营,对外成为AI产业支付伙伴。

3.政策法规启示是合规先行,牌照和合规体系是1,技术产品营销是后面的0;进入市场前先拿资质建本地合作,宁可慢一步也不踩线;把合规与运营经验沉淀为系统能力,采用总部专家加本地团队。

4.产业启示还包括AI落地应从业务链路中最高频最耗人力环节切入,护城河不在模型本身而在场景数据密度,善用生态合作而非自建一切。

声明:快读内容全程由AI生成,请注意甄别信息。如您发现问题,请发送邮件至 run@ebrun.com 。

我是 品牌商 卖家 工厂 服务商 平台商 研究者 帮我再读一遍。

Quick Summary

Summary 1: The most notable point is that the logic of cross-border payment competition is changing: AI and globalization are turning payments from a channel business into intelligent infrastructure, and fee-based competition is shifting to deep localization competition.

1. Payful positions itself as a financial specialist for global emerging markets, using Hong Kong as an anchor to connect Chinese enterprises with emerging markets, with about 10 years of international business development. It holds multiple local payment licenses, covers local collection in markets such as Brazil and Mexico, supports 30+ currencies, covers 100+ countries and regions, and serves 180,000+ merchants.

2. Its business focuses on four customer groups: cross-border e-commerce, foreign trade B2B, service trade, and corporate global spending. It offers multi-currency virtual cards and corporate spend management, allowing customers to complete collection, exchange, payment, and settlement on the same platform.

3. AI has been applied in four areas: merchant services, risk control and compliance, fund routing, and business automation. Ask AI covers seven business scenarios with 7x24 responses, and AutoFlow can break down trigger conditions and execution actions from a single natural-language instruction.

4. The practical recommendation is to first make compliance thorough in selected markets before pursuing scale, apply AI starting from the highest-frequency and most labor-intensive links, and make good use of ecosystem partnerships rather than going it alone.

Summary 1: On brand positioning and competitive barriers, Payful positions itself as a financial specialist for global emerging markets, using Hong Kong as an anchor to connect Chinese enterprises with global emerging markets, and emphasizes a governed financial infrastructure network by region and scenario. Its brand differentiation relies not on a single fee rate but on deep localization and compliance experience.

1. On price competition, the industry is shifting from fee-based competition to deep localization competition. Mature markets in the US and Europe are red oceans, while growth is in emerging markets. The barrier lies in licenses, clearing networks, and compliance systems, which are difficult to achieve quickly through subsidies.

2. On product R&D, Payful became a Visa card-issuing member in 2025. Payful Card covers card networks including Visa, Mastercard, and Diners Club, and provides multi-currency virtual cards and corporate spend management. It launched Ask AI and AutoFlow, turning collection, exchange, payment, settlement, and fund management into platform capabilities.

3. On channel development, it cooperates with global financial infrastructure providers such as Flutterwave, GME, and DBS Bank, emphasizing embedding into local financial and commercial ecosystems and leveraging partner network qualifications and cultural understanding for implementation.

4. On users and trends, cross-border e-commerce, foreign trade B2B, service trade, and corporate global spending are the base. AI-native companies such as AI short dramas and AI tools have become important customer groups. Emerging-market e-commerce is growing fast, but payment infrastructure is weak. Localized experience includes local-currency payment without intermediary bank fees and settlement as fast as T+0.

Summary 1: For sellers, the growth markets and opportunities highlighted in the article are in emerging markets, with Southeast Asia, Latin America, and Africa as priorities, while mature markets such as North America, Europe, Japan, and South Korea are also covered. Emerging-market e-commerce is growing fast, but payment infrastructure is weak, with small currencies, fragmented clearing, and large regulatory differences.

1. On opportunities, the local collection network covers markets such as Brazil and Mexico, supports 30+ currencies and mainstream local payment methods, allows local buyers to pay in local currency, frees merchants from intermediary bank fees, and enables settlement as fast as T+0. Unified multi-currency account management helps reduce friction in cross-border collection and payment.

2. On risks, regulatory fragmentation is the biggest external obstacle. The same business model may require rebuilding the compliance architecture in different countries. In emerging markets, the barrier is not price but licenses, clearing networks, and compliance systems, and cannot be achieved quickly through subsidies.

3. The lesson is compliance first: obtain qualifications and build local partnerships before entering a market, and prefer to move one step slower than to cross the line. Adopt a license matrix plus local collection and payment channels plus a full-chain closed loop to solve collection, exchange, payment, and management in one place.

4. On cooperation, work with local banks, clearing networks, e-commerce platforms, and partners such as Flutterwave, GME, and DBS Bank, leveraging local networks and cultural understanding for rapid implementation. Also note that AI-native companies use virtual cards to pay for overseas advertising, cloud services, and subscriptions.

Summary 1: Factories can see a practical path toward digitalized and e-commerce-based cross-border operations. The core is not buying a single payment channel, but linking multi-currency accounts, local collection, foreign exchange, global payment, corporate spend management, and compliance risk control into one capability chain.

1. On business opportunities, Payful focuses on cross-border e-commerce, foreign trade B2B, service trade, and corporate global spending, serving 180,000+ merchants, covering 100+ countries and regions, and supporting 30+ currencies. When factories engage in foreign trade B2B or cross-border e-commerce, they can use local collection accounts and local payment channels to enter emerging markets such as Southeast Asia, Latin America, and Africa.

2. On product and design demand, Payful Card provides multi-currency virtual cards and corporate spend management, covering card networks including Visa, Mastercard, and Diners Club. It can be used for corporate spending such as overseas advertising and cloud service subscriptions, indicating that payment products are extending toward scenario-based card products and spend management.

3. On digitalization implications, AI is already used for multi-jurisdiction KYC and AML review, transaction background screening, fund routing, and business automation. AutoFlow can break a natural-language instruction into trigger conditions, execution conditions, and execution actions. Open APIs can embed collection, payment, exchange, and card capabilities into ERP and business systems, enabling payment data to directly drive business decisions.

4. The implementation reminder is compliance first: thoroughly establish qualifications and local partnerships in selected markets before discussing scale, apply AI starting from the highest-frequency and most labor-intensive links, and use the ecosystem rather than going it alone.

Summary 1: Service providers should note that the cross-border payment industry trend has shifted from channel count and fee competition to deep localization competition. AI and globalization are reshaping payments into an intelligent infrastructure business, with competition keys being compliance automation, intelligent fund routing, and real-time settlement.

1. Customer pain points include small currencies in emerging markets, fragmented clearing systems, and large differences in regulatory rules. Regulatory fragmentation means the same business model must rebuild its compliance architecture in different countries. Composite talent is scarce. Merchants previously relied on manual work to find answers and on manual experience for fund scheduling.

2. On solutions, Payful builds capabilities through a license matrix plus local collection and payment channels plus a full-chain closed loop. Localization has three layers: localized qualifications, localized channels, and localized partnerships. It supports 30+ currencies, covers 100+ countries and regions, and serves 180,000+ merchants.

3. On new technology, Ask AI is based on the official help center knowledge base and covers seven business scenarios with 7x24 natural-language responses. AutoFlow breaks a natural-language instruction into a When-If-Then automated workflow. The self-developed risk control system automates multi-jurisdiction KYC and AML review and transaction background screening. The system automatically matches the optimal fund path by currency, amount, and destination.

4. The service implication is to first turn compliance and operational experience into system capabilities, adopt a model of headquarters experts plus local teams, open APIs to embed into merchants' ERP and business systems, and cooperate with ecosystem partners such as local banks, clearing networks, e-commerce platforms, Flutterwave, GME, and DBS Bank.

Summary 1: For platform providers, the article shows that merchants' demand for payment platforms has upgraded from a single collection channel to one-stop global fund management. They require multi-currency accounts, local collection, local payment, foreign exchange, global payment, corporate spend management, and compliance risk control to be completed on the same platform.

1. The latest platform practice is license localization plus a full-chain closed loop. In 2025, Payful became a Visa card-issuing member. Payful Card covers card networks including Visa, Mastercard, and Diners Club. Its business covers 100+ countries and regions, serves 180,000+ merchants, and builds its base around four customer groups: cross-border e-commerce, foreign trade B2B, service trade, and corporate global spending.

2. On operations management, Ask AI covers seven scenarios: e-commerce collection, foreign trade B2B, Payful card services, service trade, currency exchange, global payment, and global acquiring, with 7x24 natural-language responses. AutoFlow supports automatic breakdown of trigger mechanisms, execution conditions, and execution actions from a single natural-language instruction. Risk control, compliance, and fund routing are automated by the system. Open APIs can be embedded into merchants' ERP and business systems.

3. For merchant recruitment and customer expansion, attention can be paid to AI-native companies such as AI short dramas and AI tools; they use Payful Card to pay for overseas advertising, cloud services, and subscriptions. Emerging markets focus on Southeast Asia, Latin America, and Africa, while mature markets cover North America, Europe, Japan, and South Korea.

4. On risk avoidance, treat compliance first as an expansion discipline: obtain qualifications and build local partnerships before entering a market, and prefer to move one step slower than to cross the line. Under regulatory fragmentation, avoid seeking quick success through subsidies, and value licenses, clearing networks, and local ecosystem partnerships.

Summary 1: Researchers can note a new development in the cross-border payment industry: AI and globalization are jointly driving payments from a channel business to an intelligent infrastructure business, and industry competition is shifting from fee-based competition to deep localization competition. Industry differentiation may intensify significantly over the next two years.

1. New issues include regulatory fragmentation: regulatory rules in emerging markets update quickly and differ greatly, and the same business model may require rebuilding the compliance architecture in different countries. Composite talent is scarce: people who understand payment compliance, local markets, and can also manage technology systems are rare. Emerging markets also face problems such as small currencies, fragmented clearing systems, and weak payment infrastructure.

2. On the business model, Payful has formed a license matrix plus local collection and payment channels plus a full-chain closed loop. Localization has three layers: qualifications, channels, and cooperation. Its capability chain consists of multi-currency accounts, local collection and payment method coverage, foreign exchange, global payment, corporate spend management, and compliance risk control. It also advances two-way digital-intelligent transformation: internally, it uses AI to restructure service operations; externally, it becomes a payment partner for the AI industry.

3. The policy and regulatory implication is compliance first: licenses and compliance systems are the 1, while technology, products, and marketing are the zeros after it. Before entering a market, obtain qualifications and build local partnerships; prefer to move one step slower than to cross the line. Turn compliance and operational experience into system capabilities, using a model of headquarters experts plus local teams.

4. Industry implications also include starting AI deployment from the highest-frequency and most labor-intensive links in the business chain. The moat is not the model itself but scenario data density, and it is better to use ecosystem cooperation than to build everything in-house.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

【亿邦原创】Jonathan Ye,Payful CEO。上海交通大学EMBA、香港中文大学硕士,曾任世界500强外企高管15年,深耕跨境金融与全球支付领域。主导Payful全球支付网络布局与新兴市场拓展,推动与摩根大通、星展银行等国际金融机构的战略合作。近日,在2026千峰奖访谈期间,亿邦动力、亿邦智库与Jonathan Ye,围绕“AI与出海带来的模态进化”进行了深度交流。

亿邦:本届千峰奖以“AI与出海带来的模态进化”为核心主题。结合跨境支付和金融科技,您如何理解这一轮由AI和全球化共同驱动的产业模态进化?Payful的定位和业务模式是什么?

Jonathan Ye:AI与全球化正在把跨境支付从“通道生意”重塑为“智能基础设施生意”。过去跨境支付拼的是通道数量,如今拼的是合规自动化、资金路由智能化和结算实时化——AI让多法域合规审核、反洗钱筛查、汇率风险管理从人工堆叠变为系统能力,全球化则要求支付网络下沉到本地市场。

Payful的定位是“全球新兴市场金融专家”,以香港为支点,连接中国企业与全球新兴市场,构建分地区、分场景、有治理的金融基础设施网络,国际业务布局约10年。核心战略布局有两点:一是牌照本地化,持有多地支付业务相关牌照及资质,本地收款网络覆盖巴西、墨西哥等新兴市场,支持30+币种;二是全链路闭环,2025年成为Visa发卡会员,让客户在一个平台完成“收、换、付、结”,业务覆盖100+国家和地区,服务18万+商户。

围绕四类客户与场景构建业务基本盘:跨境电商、外贸B2B、服务贸易、企业全球支出。Payful Card提供多币种虚拟卡及企业支出管理能力,覆盖Visa、Mastercard、Diners Club等卡网络及不同支付场景。

亿邦:目前AI落地在哪些核心业务环节?

Jonathan Ye:四个核心业务环节,且都是在运行状态,不是概念验证。一是商户服务环节。2026年7月上线的Ask AI智能问答助手,基于Payful官方帮助中心知识库训练,覆盖电商收款、外贸B2B、Payful卡、服务贸易、货币兑换、全球付款、全球收单七大业务场景,7×24小时自然语言应答,把商户“我要去找答案”变成“AI直接告诉我”。二是风控合规环节。多法域KYC/AML审核、交易背景筛查由自研风控系统自动化完成——金融合规是高容错成本领域,AI在这里不是提效工具,而是千亿交易规模下资金安全可追溯的基础设施。三是资金路由环节。系统根据币种、金额、目的地自动匹配最优路径,把过去依赖人工经验的调度变成实时算法决策。四是经营自动化环节。同期上线的AutoFlow支持商户用一句自然语言指令——“什么时候,完成什么事情”——自动拆解为触发机制(When)、执行条件(If)、执行动作(Then),把部分支付与资金管理操作转化为自动化业务经营流程,实现“一句指令,全球收付自治”。

亿邦:您提到竞争力体系是“双向数智化”:对内用AI重构服务与运营,对外成为AI产业的支付伙伴。具体怎么理解?

Jonathan Ye:对内,用AI重构服务与运营,把高频、高人力消耗的环节交给系统;对外,我们正成为AI产业的支付伙伴——AI短剧、AI工具等AI原生企业已是重要客群,用Payful卡完成全球支付与支出管理。这套体系的护城河不在模型本身,而在场景数据密度:谁的规则引擎经历过更多真实交易与合规实战检验,谁的智能体就更可靠。

亿邦:海外布局方面,Payful聚焦哪些市场?本地化分几层?

Jonathan Ye:聚焦东南亚、拉美、非洲三大新兴市场,同时覆盖北美、欧洲、日韩等成熟市场。新兴市场的共同特点是:电商增速快但支付基础设施薄弱,币种小、清算体系割裂、监管规则差异大。本地化调整主要有三层:一是资质本地化,在不同法域获取当地支付资质,确保业务合规先行;二是通道本地化,打通拉美六国本地收款,支持本地主流支付方式,让当地买家用本币付款、商户免中间行费用;三是合作本地化,与非洲Flutterwave、韩国GME、星展银行等全球金融基础设施深度合作,借助本地伙伴的网络与文化理解快速落地。目前公司在全球设有多个办公室,国际业务团队约200人,业务覆盖100+国家和地区。

亿邦(新增):您提到与Flutterwave、GME、星展银行等全球伙伴合作,为什么这比自建一切更有效?

Jonathan Ye:出海不是复制国内打法,而是要嵌入本地金融与商业生态。与本地银行、清算网络、电商平台建立深度合作,借助伙伴的网络、资质与文化理解落地,远比自建一切高效。对本地银行和清算网络,我们带来了中国出海企业的交易增量;对商户,我们提供免中间行手续费、最快T+0到账、多币种统一账户管理的体验。2025年成为Visa发卡会员,也是把全球主流金融基础设施接入新兴市场商户日常的实践。

亿邦:在海外深度价值链建设上,Payful形成了怎样的模式?

Jonathan Ye:可以概括为“牌照矩阵+本地收付通道+全链路闭环”。核心能力不是单一通道,而是在每个目标市场同时建立资金流入端(本地收款账户)和流出端(本地付款通道)的能力,再通过全球化的资金调拨体系提升资金周转效率,把成本和时效做到极致。这条能力链条是:多币种账户→本地收款及支付方式覆盖→换汇→全球付款→企业支出管理→合规与风控。企业进入一个新兴市场以后,不需要分别拼接银行、PSP、换汇、付款和卡产品,而是通过一套组合能力,解决跨境经营中资金收、换、付、管的问题。

亿邦:在出海拓展过程中,AI与数字化能力为跨境业务提供了哪些核心支撑?

Jonathan Ye:我们的AI实践是双向的:对内用AI重构服务与运营,对外为AI产业提供支付基础设施。对内,AI能力已经从后台风控走向前台经营场景。2026年7月连续上线两个AI原生产品:Ask AI智能问答助手和AutoFlow自动化工作流。与此同时,风控、运营、产品等内部环节也通过AI实现系统性提效。对外,我们正成为AI产业的支付伙伴。AI短剧、AI工具等AI原生企业已成为我们的重要客群,它们用Payful卡支付海外广告投放、云服务与订阅费用。开放API同时把收、付、换、卡能力嵌入商户的ERP与经营系统,让支付数据直接驱动经营决策。我们的路径很清晰:先解决最高频的痛点,再把AI沉淀为持续运转的智能资金管理体系——把复杂交给AI,把增长留给商户。

亿邦:当前制约企业AI规模化落地、全球化深度拓展的最大内部瓶颈和外部障碍分别是什么?

Jonathan Ye:最大的内部瓶颈是复合型人才的稀缺——既懂支付合规、又懂本地市场、还能驾驭技术体系的人才,在任何一个市场都是稀缺资源。最大的外部障碍是监管的碎片化,新兴市场监管规则更新快、各市场要求差异大,同一业务模式在不同国家可能要重做一遍合规架构。

针对这两个瓶颈,我们分别从系统和纪律两侧应对。对内,把合规与运营经验沉淀为系统能力——风控规则引擎、多法域合规知识库和标准化作业流程,让组织能力不依赖少数专家的个人经验;同时采用“总部专家+本地团队”的组合模式。对外,把“合规先行”作为扩张纪律:进入一个市场前先拿资质、建本地合作,宁可慢一步也不踩线。十年下来,这套纪律反而成了我们的加速度——当行业内还在为合规补课的时候,我们已经把通道建好了。

亿邦:面向2026年及未来两年,Payful有哪些重点投入规划?您预判行业竞争格局会怎么变?

Jonathan Ye:重点投入三个方向:一是继续深耕新兴市场本地收付网络,把拉美六国模式复制到更多高增市场;二是深化虚拟卡场景,从广告支付向企业支出管理延伸;三是AI能力的规模化应用,包括智能问答、自动化工作流等的持续拓展。下一步我们还将让AI进一步参与企业资金管理和支付业务经营流程,持续提升自动化与智能化水平。

竞争格局上,行业会从“费率竞争”转向“本地化深度竞争”。欧美成熟市场已是红海,增量在新兴市场,但新兴市场的门槛不在价格而在牌照、清算网络与合规体系——这些无法靠补贴速成,未来两年行业分化会明显加剧。

亿邦:如果给刚刚起步、希望同时构建AI竞争力与全球化能力的同行企业提一条最核心的建议,这条建议会是什么?

Jonathan Ye:先在选定的市场把合规做透,再谈规模。全球化的诱惑是每个市场看起来都是机会,但支付和金融是强监管行业,牌照和合规体系是1,技术、产品、营销是后面的0。同时,AI能力建设不要从“做一个大模型”开始,而要从业务链路中最高频、最耗人力的环节切入,让AI先解决真问题,再谈重构。最后一点,善用生态,不要单打独斗。全球领先的金融基础设施并非遥不可及,关键是找到彼此的价值交换点。

作为TO B领域年度风向标,“2026第八届亿邦产业互联网年会暨首届产业智能体大会”将于2026年11月20日在北京召开。主题定为“AI与出海带来的模态进化”,聚焦产业智能体落地、AI供应链价值重构、数据要素与TOKEN经济、产业出海新生态等前沿议题深度思辨。大会将集结学界权威、央国企标杆、产业龙头、投资机构、服务生态伙伴,汇聚产业核心力量、拆解产业数智化转型路径、分享前沿实战经验。同期还将发布年度产业互联网报告及标杆案例,举办决策人闭门会、“千峰奖”颁奖盛典。




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FAQ回顾

Payful是什么公司?主要提供哪些跨境支付服务?

Payful定位为全球新兴市场金融专家,以香港为支点连接中国企业与全球新兴市场。业务覆盖100个国家和地区,服务18万商户,支持30种币种,提供本地收款、货币兑换、全球付款、多币种虚拟卡与企业支出管理等服务,客户包括跨境电商、外贸B2B、服务贸易及企业全球支出四类场景。

跨境支付行业未来的竞争趋势是什么?

行业正从费率竞争转向本地化深度竞争。欧美成熟市场已属红海,增量集中在东南亚、拉美、非洲等新兴市场,但门槛不在价格,而在牌照、清算网络与合规体系,这些难以靠补贴速成。同时AI推动合规自动化、资金路由智能化和结算实时化,未来两年行业分化将明显加剧。

跨境支付企业如何进入新兴市场并实现本地化?

本地化可分为三层:资质本地化,在不同法域先取得当地支付资质;通道本地化,打通本地收款并支持当地主流支付方式,让买家以本币付款;合作本地化,与本地银行、清算网络及Flutterwave、GME、星展银行等伙伴深度合作。核心是坚持合规先行,进入市场前先拿资质、建本地合作。

AI在跨境支付业务中有哪些实际应用场景?

主要落地于四个运行中的环节:商户服务上,Ask AI智能问答助手覆盖七大业务场景,提供7×24小时自然语言应答;风控合规上,多法域KYC/AML审核与交易背景筛查由自研系统自动完成;资金路由上,系统按币种、金额、目的地实时匹配最优路径;经营自动化上,AutoFlow可将一句自然语言指令拆解为触发机制、执行条件与执行动作。

出海企业建设AI与全球化能力时应优先做什么?

建议先在选定市场把合规做透,再谈规模。支付与金融是强监管行业,牌照和合规体系是1,技术、产品、营销是后面的0。AI建设不应从做大模型开始,而应从业务链路中最高频、最耗人力的环节切入,先解决真问题;同时善用生态合作,找到彼此的价值交换点,避免单打独斗。

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