Integrated Payment Solutions Drive LATAM’s Digital Transformation

Q: How would you describe the company’s position in the Latin American market, and what sets it apart from other players in the financial technology sector?
A: We stand out for our exclusive focus on the region, combining multinational scale with deep local knowledge. We were born in Puerto Rico and have expanded our operations while maintaining a detailed focus on the needs of each Latin American market. Our financial solutions ecosystem goes far beyond digital payments, allowing us to offer a comprehensive proposal that optimizes the entire value chain for our clients.

Our strategy rests on three key pillars: technological control, operational standards, and a focus on ecosystems. By developing our own solutions, we eliminate external dependencies and respond quickly to market changes. The professionalization that comes from operating as a public multinational company enables us to maintain quality and security levels that meet our clients' demands. Finally, our ability to offer integrated solutions in an environment where financial digitalization has accelerated positions us as a strategic partner for businesses.

Q: Evertec is known for providing integrated solutions that cover the entire payment processing chain. How does this integration add value for your clients, and what benefits does it offer compared to fragmented solutions?
A: We offer a comprehensive solution that allows businesses to focus solely on their core activities, while we take care of the entire payment infrastructure. Unlike fragmented solutions that require clients to manage multiple providers for card issuance, fraud prevention, risk assessment, and user interaction platforms, we centralize these processes into a unified offering. This not only optimizes operational efficiency but also reduces complexity and implementation time, allowing fintechs and other businesses to scale quickly without worrying about technical or regulatory aspects.

Among our solutions, our supplier management service is crucial for optimizing the last mile in the payment chain, ensuring that merchants have the right inventory at the right time. Through our technology, we facilitate the automation of orders, payment reconciliation, and service level agreement (SLA) management, avoiding disruptions in operations. In terms of payment acceptance, our Placetopay gateway ensures a smooth and secure experience for customers, adapting to multiple payment methods. Finally, our merchant management platform allows for the efficient integration of these processes, ensuring scalability and operational efficiency.

Q: How does Evertec ensure a smooth and secure payment processing experience for merchants, especially with the rise of digital payments and cloud-based solutions?
A: We focus on high-availability technological infrastructure with world-class operational continuity, disaster recovery, and performance standards. Our strategy is based on cloud-based solutions with geographic redundancy and multiple data centers, minimizing disruptions and optimizing response times. Constant investment in innovation allows us to maintain a resilient ecosystem aligned with the growing demands of digital commerce.

Additionally, we prioritize usability and security, developing solutions that reduce friction in transactions and optimize user authentication. One example is our pioneering implementation of Click2Pay in Latin America, which simplifies payments for card-not-present transactions and is already operating in six countries. We also lead the adoption of technologies such as tokenization, 3DS, and digital wallets, strengthening data protection and preventing fraud.

Q: What is Mexico’s market position compared to other markets in the region?
A: Mexico is a benchmark for payment digitization in Latin America, with a dynamic ecosystem driven by traditional banking and the rapid growth of fintechs such as Mercado Libre and Nubank. Its high level of technology adoption positions it as a key market for the expansion of innovative solutions. However, challenges in financial inclusion persist, particularly in the credit assessment of segments without a banking history.

Q: How is Evertec contributing to data-driven decision-making through its solutions, and what role does advanced analytics play in your platform?
A: Our recent acquisition of Grandata strengthens our ability to leverage non-traditional data in building credit scoring models, allowing us to assess the payment capacity of consumers without a financial history. With these tools, we facilitate access to credit, reduce costs, and optimize decision-making for financial institutions and merchants, enabling us to not only improve the efficiency of the financial system but also to promote the democratization of digital services in the region.

Q: How does Evertec technology stand out in risk management, and what measures are you implementing to address the ever-evolving cyber threats?
A: For us, fraud prevention is an integrated process within the payment chain, not a parallel mechanism. We implement risk-based authentication, which allows us to assess each transaction in real-time and apply dynamic security measures without causing unnecessary friction for the user, balancing security and customer experience, ensuring that authentication mechanisms are activated only when the level of risk warrants it.

We complement this approach with advanced data analysis that goes beyond the transaction. We incorporate customer information, public and social data, and even digital behavior patterns to individualize the risk profile in each operation. Additionally, we use real-time AI to strengthen fraud detection, optimizing the accuracy of our evaluations and reducing the incidence of threats with adaptive models.

Q: How is Evertec leveraging automation and AI in its payment and processing solutions, and what benefits do these technologies bring to clients in the region?
A: AI and automation are at the core of our solutions, optimizing both operational efficiency and security. Internally, we use AI for proactive system monitoring, anticipating failures before they happen and reducing the need for manual intervention. We also apply it in client migration between platforms, ensuring data integrity and accuracy in data management, as we have successfully done in Brazil.

AI is a key pillar in fraud prevention and credit risk assessment. Our solutions allow for more accurate onboarding and financial behavior analysis, ensuring more informed and secure decisions, giving us the opportunity to provide the region with advanced tools that optimize operational efficiency and minimize risks in the digital payments’ ecosystem.

Q: What are Evertec’s main goals for Mexico and Latin America in 2025?
A: We want to solidify our position as the leading technological partner for all players in the digitization process within the financial ecosystem. We aim to strengthen our position by offering solutions that enable businesses, whether traditional companies going through transformation or digital natives, to optimize their processes through advanced automation and digitalization. In Mexico, specifically, our strategy is focused on enabling remote financial services, ensuring that customers' identities can be securely validated through biometrics, document scanning, and automated verifications.

Q: What advice would you give to other tech executives in Latin America on how to approach digital transformation and improve adoption within their organizations?
A: Digital transformation is not a theoretical exercise, but a process of constant adaptation to an imperfect environment. Technological solutions must be designed with the expectation of facing challenges in data quality and quantity, change management, and data interpretation. A successful approach requires flexibility, resilience, and the ability to evolve with the market’s reality. A decade ago, assessing a user’s credit risk without a banking history seemed impossible; today, using alternative data makes it feasible. The key is understanding that innovation does not happen under ideal conditions but in solving real problems with imperfect data and constantly evolving models.