Agentic AI is now playing a greater role in financial transactions as companies work to improve processing efficiency. TerraPay connects billions of mobile wallets and bank accounts across numerous countries, signaling a step forward in payment automation. New efforts combine traditional manual oversight with advanced machine learning algorithms, ensuring that operations remain secure and customer-focused.
Reports from various outlets have noted that financial institutions have increasingly adopted AI across multiple functions, from fraud detection to loan underwriting. Insights from earlier publications illustrate that while automation has been growing steadily, current initiatives are marked by a blend of human review and computerized analysis to meet rising global demands.
TerraPay’s network integrates more than 3.7 billion mobile wallets and 7.5 billion bank accounts, creating a complex system for managing fund flows between 200 sending and 144 receiving nations. Due to the intricacies involved in processing payments, delays can occur, leading to customer inquiries when transactions do not follow expected paths.
“Obviously, in the best-case scenario, everything goes smoothly, but when things are not going smoothly, that’s when the customer queries come in.”
Leveraging Agentic AI for Global Efficiency
TerraPay employs AI models that continuously monitor real-time transactions, assisting in the quick identification of irregularities. The technology underpins many back-office functions by categorizing and analyzing data. This integration supports financial institutions by improving the speed and reliability of payment deliveries across different markets.
Managing Complex Transaction Queries
In parallel, skilled agents review AI-generated analyses, providing expertise in regional cash corridors. Their intervention becomes necessary when algorithms flag potential issues that require manual verification.
“We still don’t trust [AI models] to let them respond to the customer straight away, but we can do the analysis, and then that gets reviewed by an agent who decides if [information] is accurate or not and then sends it off.”
Beyond customer support functions, TerraPay addresses challenges related to data integrity and compliance. The effort to consolidate disparate data sources into a structured format marks an ongoing transition toward unified information systems. Collaboration with technology partners and evaluations of options like OpenAI, now priced at $20,000 monthly for specialized agents, highlight the balance between cost and performance.
TerraPay’s measured use of agentic AI alongside expert human judgment underscores a tactical shift in global financial operations. Emphasizing secure, prompt, and affordable fund transfers, the approach appears poised to gradually lower technological costs while adapting to evolving market needs.
