Standard Chartered and Ant International have announced a collaboration to introduce an AI-powered Treasury and FX management solution. The solution integrates Ant International’s Falcon Time-Series Transformer (TST) Model with Standard Chartered’s Aggregated Liquidity Engine (SCALE). This collaboration aims to lower FX costs and improve risk management for Ant International and its clients. The integration allows for seamless data exchange, enabling AI-driven FX forecasting in real-time and on a 24/7 basis.

The joint solution is part of Standard Chartered’s FX Automation Programme, which supports multi-currency bookings and international vendor settlements in real-time. The programme helps businesses mitigate costs and manage FX volatility across borders. With the integration of Falcon TST and SCALE, Standard Chartered can forecast Ant International’s FX exposures with over 90% accuracy, allowing the bank to manage FX risk more effectively and reduce clients’ hedging costs in real-time.

Madhu Menon, Global Head of SC PrismFX Sales at Standard Chartered, stated that the bank continues to invest in its platforms and adopt cutting-edge technology to support clients in managing their risks and exposures. Kelvin Li, General Manager of Platform Tech at Ant International, added that the collaboration sets the path for an innovative approach to managing and hedging FX risk and costs for Ant International and its clients globally.

Ant International’s Falcon TST Model is a big data model that predicts future data points by analyzing complex patterns in large historical datasets. The model forecasts Ant International’s cash flow and FX exposure on an hourly, daily, and weekly basis with more than 90% accuracy. Standard Chartered’s Aggregated Liquidity Engine (SCALE) is a flexible FX solution that supports corporates and financial institutions in pricing products or receiving payments in multiple currencies with guaranteed FX rates around the clock.

The collaboration demonstrates how AI is being applied to enhance services in Singapore’s financial sector. Both organizations are committed to developing new technologies to support businesses’ global transaction needs. As cross-border transactions continue to increase, the organizations will continue exploring solutions to enable more seamless and secure international business flows. The integration of AI-powered solutions is expected to reduce FX costs and improve risk management for businesses, making it an important step in the ongoing journey to leverage technology for next-generation cross-border payment solutions.