Oscilar and dLocal Partner to Scale Cross-Border Payments Compliance with Agentic AI

Cross-border payment platform dLocal has integrated Oscilar’s AI-native agentic risk platform to manage compliance across more than 60 markets. For fintech professionals, this represents a significant shift toward using autonomous AI agents to handle the extreme fragmentation of global payments, moving beyond traditional monitoring systems that often struggle with diverse local regulations and emerging market complexities.

What was announced

dLocal, which connects global merchants to emerging markets, has selected Oscilar to optimize its AML transaction monitoring, sanctions screening, and case management. The platform is specifically engineered for the operational realities of cross-border payments, where dLocal manages over 1,000 alternative payment methods across more than 60 markets in Africa, the Middle East, Asia, and Latin America. This environment is particularly complex because each jurisdiction maintains its own AML thresholds, sanctions obligations, and data governance rules. In some markets, regulatory constraints even dictate which analysts can access specific data, while in others, payment method volumes shift monitoring assumptions on a rolling basis.

The integration allows dLocal’s compliance team to tailor rules, thresholds, and queues to these jurisdiction-specific requirements. Oscilar’s agentic architecture allows for the deployment of AI agents alongside human analysts to handle the most operationally intensive tasks. This is a significant shift for a function where Level 1 alerts can take up to 60 minutes each to investigate. By shifting analysts from manual data assembly to high-level judgment, the platform provides the operational headroom needed to absorb growing transaction volumes without a linear increase in headcount. The platform also provides full transparency across every link of the payment flow chain, supporting multi-party transaction models that traditional bank-oriented monitoring systems were not designed to follow. This includes the ability to adapt workflows directly as new payment licenses come online on a regular cadence.

"Running compliance across our markets requires constant adaptation to different jurisdictions, data governance requirements, and regulatory expectations, all of which evolve incessantly, even more so on the Global South. Traditional bank-oriented monitoring systems were never designed for this environment. Oscilar gives our team the flexibility to operate market by market, the auditability our regulators expect, and the operational leverage to scale investigations without scaling complexity at the same rate. It is the right foundation for modern cross-border payments compliance."

Christiana Ellina, VP of Compliance at dLocal.

The companies involved

dLocal (NASDAQ: DLO) is a leading cross-border payment platform that facilitates transactions between global merchants and consumers in emerging markets. Operating across more than 60 countries, the company provides the infrastructure necessary for international businesses to accept and send payments using over 1,000 local payment methods. dLocal has become a critical link in the global digital economy, particularly within the Global South, by navigating the complexities of local regulations and fragmented payment landscapes. The company's compliance function serves as core infrastructure for maintaining trust across its extensive network of global merchants and local financial systems.

Oscilar is an agentic risk platform designed to help financial institutions manage fraud, AML, and compliance through an AI-native approach. The company is led by Neha Narkhede, Co-Founder & CEO at Oscilar Inc. The platform distinguishes itself through an architecture that uses AI agents to automate complex, data-heavy workflows while ensuring human reviewers retain final authority. This approach is designed to replace or augment traditional rules engines that lack the flexibility required for modern, high-volume transaction environments. Oscilar focuses on providing transparency and auditability, ensuring that every AI-driven decision remains explainable to regulators and internal stakeholders, which is a critical requirement for institutions operating in highly regulated jurisdictions.

What this means

The move to an agentic architecture suggests that the fintech industry is reaching a breaking point with traditional, rules-based compliance. As cross-border volumes grow and regulatory environments in emerging markets become more sophisticated, the "linear growth" model—where more transactions require a proportional increase in human analysts—is no longer sustainable. This announcement puts significant pressure on legacy AML and KYC providers who have yet to integrate autonomous agents into their core workflows. The industry is moving toward a model where AI handles the "data assembly" and preliminary investigation, leaving humans to act as final adjudicators. However, the success of this shift will depend on how well these AI agents can handle nuanced, jurisdiction-specific data governance rules without creating "black box" compliance risks.