World’s Biggest Banks Adopt Ant International’s Smart AI Tool to Cut Foreign Money Trading Costs

Major international banks like Citi and HSBC partner with Ant International to use smart AI software that cuts foreign exchange costs.
ANT Group

Big global banks partner with Ant International to use a smart AI tool that slashes money exchange costs by over 60 percent.

Six of the world’s biggest international banks have joined forces with Singapore-based technology firm Ant International to start using an advanced artificial intelligence tool designed for managing money exchange.

Major financial institutions, including Citi, HSBC, Standard Chartered, Deutsche Bank, Barclays, and another top lender, are adopting this upgraded smart software to help predict global currency movements and reduce risks when sending money across international borders.

By using specialized computer algorithms instead of general chatbot software, these big banks are changing how corporate cash flows safely around the world every single day.

The technology partnership was officially launched in Hong Kong on August 20, 2026, when Ant International unveiled its brand new Falcon Time-Series Transformer Model 2.0.

This rollout comes at a time when major financial hubs across Asia, Europe, and America are racing to install smart digital systems into their daily operations.

The launch follows a massive financial boost for Ant International, an overseas affiliate of the famous Chinese technology giant Ant Group, which raised $1.2 billion in new investment funds just last month to expand its global financial technology footprint.

The main reason these global banks are eager to adopt this new software is that trading different currencies across international borders can be extremely expensive and unpredictable.

When values of national currencies go up and down quickly, companies lose billions of dollars in extra fees and protection costs.

Traditional computer tools often struggle to process huge amounts of complex financial history, making it hard to plan ahead.

Ant International’s smart model studies patterns from millions of past money transactions to predict future currency shifts with high accuracy, allowing banks to protect their funds and avoid wasteful spending.

See Also: Dubai Chambers Teams Up With India’s NASSCOM to Grow Smart AI Businesses

Explaining why specialized financial software works much better than everyday internet chatbots, Kelvin Li, general manager of platform tech at Ant International, stated that the new model specialises in financial scenarios and has an edge over general-purpose large models, which have “yet to achieve a universal breakthrough in the financial sector”.

Highlighting the massive money savings that businesses can enjoy by using these smart prediction tools, Kelvin Li said, “Precise forecasting can slash foreign exchange hedging and allocation costs by over 60%”.

Detailing how this major collaboration builds on earlier successful tests with banking partners, executive statements confirmed that by integrating Standard Chartered’s robust banking capabilities with Ant International’s innovative solutions, we can enhance the way businesses manage their global liquidity and FX strategy, so they can experience more efficient cross-border transactions“.

By putting specialized artificial intelligence tools to work inside the world’s biggest banks, Ant International is proving that smart computers can do much more than just write text or draw pictures.

Making foreign money exchanges cheaper and safer ensures that global trade moves faster, helping international businesses save billions of dollars every year.

About the Author

Jennifer Sakmufuwo Baba

Jennifer Sakmufuwo Baba is a tech analyst, senior staff, and writer covering artificial intelligence, cybersecurity , and emerging technologies at TechRegard. Based in Nigeria, she's passionate about translating complex tech developments into compelling, accessible stories for diverse audiences. Her work focuses on how technology shapes innovation across Africa and globally.