Lianlian DigiTech and UnionPay International Partner to Deploy AI-Agent Payments for Global Procurement

Lianlian DigiTech and UnionPay International have announced a partnership to deploy AI-agent-driven payment solutions targeting global procurement. This marks a notable attempt to bring AI Agent technology into the cross-border financial payments sector.

Lianlian DigiTech is a leading Chinese cross-border payment and digital fintech company with a deep global payment network. UnionPay International is the international arm of China UnionPay, with payment network coverage across numerous countries and regions. Together, they aim to introduce AI Agent technology into B2B cross-border procurement payments.

According to available information, the core of this partnership involves deploying AI agents to automate procurement payment workflows. These AI agents can handle purchase order matching, payment verification, currency conversion, and settlement reconciliation autonomously, significantly reducing manual intervention and transaction delays.

Cross-border procurement presents multiple challenges: fragmented national payment systems, volatile exchange rates, cumbersome reconciliation processes, and complex compliance requirements. Traditional manual processing is slow and error-prone. By applying AI agent automation, Lianlian and UnionPay aim to deliver a smarter, more efficient payment experience for enterprise customers.

This partnership reflects the broader trend of AI Agent technology moving from consumer applications into enterprise-grade financial infrastructure. Since 2025, AI agents have rapidly expanded into financial services, from customer support and risk assessment to now payment automation, reshaping the fintech landscape.

For Lianlian DigiTech, the UnionPay partnership helps expand its global enterprise customer base and strengthens competitiveness in the cross-border B2B payments market. For UnionPay International, it represents another strategic step in embedding AI capabilities into its payment network.