Exclusive Content:

Haiper steps out of stealth mode, secures $13.8 million seed funding for video-generative AI

Haiper Emerges from Stealth Mode with $13.8 Million Seed...

“Revealing Weak Infosec Practices that Open the Door for Cyber Criminals in Your Organization” • The Register

Warning: Stolen ChatGPT Credentials a Hot Commodity on the...

VOXI UK Launches First AI Chatbot to Support Customers

VOXI Launches AI Chatbot to Revolutionize Customer Services in...

How dLocal Streamlined Compliance Reviews with Amazon Quick Automate

Transforming Compliance in Cross-Border Payments: dLocal’s Journey with AWS Quick Automate


Leveraging AI for Continuous Merchant Compliance and Operational Excellence


Transforming Compliance in Fintech: dLocal’s Journey with AWS Quick Automate

In the rapidly evolving landscape of fintech, maintaining compliance is paramount, especially for cross-border payment solutions. dLocal, Uruguay’s first unicorn, has pioneered this domain since its inception in 2016, connecting over two billion consumers with global technology giants across more than 40 emerging markets. Yet, as dLocal expanded, so did the complexities of compliance—a challenge they are meeting head-on.

The Compliance Challenge

As a major player in cross-border payments, dLocal handles thousands of merchant e-commerce sites. Each month, the company rigorously reviews these sites to ensure alignment with strict compliance standards. This includes verifying that merchants do not sell prohibited goods or services and confirming that their domains are valid and accessible. However, the compliance challenge extends beyond initial onboarding; it necessitates ongoing monitoring to adapt to changes in merchant offerings and practices.

As dLocal grew, the limits of their established compliance processes became evident. While a proprietary generative AI solution accelerated the initial review, the exponential increase in merchant onboarding placed a strain on the system. A significant portion of reviews still required manual assessments, creating bottlenecks that widened as transaction volumes increased.

Introducing Automation with AWS Quick Automate

In 2023, recognizing the need for enhanced automation to streamline the compliance review process, dLocal turned to AWS. By implementing Amazon Quick Automate, they positioned themselves to address the scalability issues effectively. Quick Automate facilitates resilient automations at scale, combining UI automation, API integrations, and orchestration in a comprehensive solution.

This innovative partnership enabled dLocal to automate their merchant compliance website review process significantly, achieving large-scale and efficient policy enforcement. Quick Automate employs generative AI to analyze user inputs, allowing for tailored automation solutions across business systems and user interfaces. It also intelligently engages human operators when necessary, balancing automation with expert oversight.

The Automation Solution in Action

The implementation of Quick Automate involved a strategic collaboration between dLocal and the AWS team to design a solution capable of navigating multiple product pages and evaluating compliance against dLocal’s rigorous policies.

Core Workflow:

  1. Case Management: Merchant cases are retrieved for evaluation from a processing queue, enabling simultaneous processing and optimization of efficiency.

  2. UI Agent Evaluation: This specialized agent navigates websites across various languages, assessing compliance with dLocal’s standards and identifying prohibited items.

  3. Handling Exceptions: Websites that are inaccessible are flagged, and accessible sites are evaluated to determine compliance status. Detailed reasoning is provided for all decisions, with ambiguous cases routed to human reviewers.

  4. Secure Data Storage: Compliance results are logged and stored securely in Amazon S3, ensuring adherence to regulatory standards.

By enhancing their compliance processes with automation, dLocal reduced the manual review burden and improved efficiency. With Quick Automate, up to 75% of merchant website reviews can now be completed without human intervention, allowing compliance specialists to focus on complex cases where expertise is essential.

Results and Impact

The results of this automation initiative are clear: dLocal has not only improved compliance monitoring but also positioned itself to scale merchant onboarding effectively. As the company continues to expand, the automation rates are expected to rise, enabling rapid adaptation to the growing demands of the fintech landscape.

As Mauricio Clausen, VP of AI at dLocal, noted, “With Amazon Quick Automate, we’ve accelerated the evolution of our AI-assisted solutions, enabling efficient scaling of merchant due diligence for cross-border payments. This partnership has allowed us to streamline the compliance process significantly.”

Conclusion

dLocal’s integration of Quick Automate exemplifies a transformative approach to compliance in fintech. By leveraging AI-powered automation, the company has effectively navigated operational challenges while strengthening its compliance posture. This not only positions dLocal as an industry leader but also offers a scalable model for other organizations facing similar regulatory demands.

As the fintech industry continues to evolve, the lessons learned from dLocal’s journey with AWS highlight the potential of technology to enhance compliance processes, allowing companies to focus on growth while ensuring rigorous standards are maintained.

Learn More

To explore how Quick Automate is revolutionizing operations and enhancing compliance workflows, delve into the resources provided by AWS and dLocal’s ongoing innovations in the fintech realm.

Latest

OpenAI ChatGPT Ads Could Favor Sponsored Content in AI Replies

OpenAI Explores Advertising Opportunities in ChatGPT Responses The Future of...

Nvidia’s Robotics Leader Praises Tesla FSD v14: “It Feels Surreal” as Autonomy Gains Spotlight

Nvidia Director Commends Tesla's Full Self-Driving Technology Amid Robotaxi...

Generative AI Specialists Take Over Halo: Campaign Evolved Team to Transform Xbox Game Development

AI Revolutionizing Halo: Campaign Evolved Development at Xbox Game...

Don't miss

Haiper steps out of stealth mode, secures $13.8 million seed funding for video-generative AI

Haiper Emerges from Stealth Mode with $13.8 Million Seed...

VOXI UK Launches First AI Chatbot to Support Customers

VOXI Launches AI Chatbot to Revolutionize Customer Services in...

Investing in digital infrastructure key to realizing generative AI’s potential for driving economic growth | articles

Challenges Hindering the Widescale Deployment of Generative AI: Legal,...

Microsoft launches new AI tool to assist finance teams with generative tasks

Microsoft Launches AI Copilot for Finance Teams in Microsoft...

Enhancing LLM Inference on Amazon SageMaker AI Using BentoML’s LLM Optimizer

Streamlining AI Deployment: Optimizing Large Language Models with Amazon SageMaker and BentoML Introduction to Self-Hosting LLMs vs API Integration Managing Infrastructure Complexity with Amazon SageMaker AI Performance...

AI-Driven Browser Automation for Optimizing Enterprise Workflows

Streamlining Enterprise Workflows: Harnessing AI Agents for E-commerce Order Automation Challenges in Enterprise Workflows E-commerce Order Automation Workflow Workflow Process Browser Automation: Form-Filling and Order Submission Human-in-the-Loop: Ensuring Precision Observability...

AWS AI League: Customizing Models and Competitive Showdowns

Unleashing Innovation: The 2026 AWS AI League Championship Exploring the Future of Intelligent Agents and Model Customization A Journey Through Competition and Creativity in AI AWS AI...