About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Integral Survey Points to API Infrastructure as Key to Corporate FX Automation

Subscribe to our newsletter

Corporate FX execution could see a significant shift towards API-driven and embedded workflows over the next five years, but the pace of change will depend heavily on whether banks and corporates can overcome integration challenges, according to a new survey from Integral, the currency trading and workflow automation solutions company.

The survey, covering 143 corporate treasuries and financial institutions, suggests that programmatic execution could grow from 18% of corporate FX trading volume today to 42% by 2031. User-triggered API execution is expected to rise from 6% to 16%, while fully embedded automated execution within ERP and treasury management systems (TMS) could increase from 12% to 26%.

That would mark a substantial change from the current market structure. More than two-thirds of corporates still execute FX through voice channels or multi-dealer platforms, each accounting for 34% of activity.

For trading technology firms and bank e-FX teams, FX pricing and execution are increasingly expected to become part of the systems where corporate exposures, liquidity and risk are already managed.

More than half of the banks surveyed expect corporate API trading to become the most important FX execution channel within five years. More than 80% also expect prices embedded directly into client systems, including TMS and order management platforms, to play a much greater role in their FX distribution strategies.

Integration Remains the Constraint

The survey also highlights the gap between the ambition for embedded FX and the infrastructure required to support it.

Some 83% of corporates identified at least one barrier that could slow adoption. For large corporates, internal systems integration was the biggest obstacle, cited by 56% of respondents. Among mid-sized corporates and growth companies, bank API maturity was the leading concern, cited by 43%.

That points to a potentially different set of challenges depending on the organisation. Larger firms may have sophisticated treasury technology estates, but integrating new execution services into complex or legacy environments can be difficult. Smaller firms may have fewer internal systems to contend with, but are more dependent on the quality and maturity of the APIs provided by their banking partners.

Harpal Sandhu, CEO of Integral, says banks will need to work closely with clients to address those operational and technology hurdles. “Corporates are looking for more streamlined and automated solutions to manage their FX risk at a time when market volatility, disrupted trade flows and pressure on balance sheets are making treasury operations more complex.”

He continues: “This depends on strong technology foundations, including API first platforms that seamlessly connect banks and corporates and support the adoption of agentic AI.”

Building the Foundation for AI

AI is still at an early stage in corporate FX. Just 8% of corporates surveyed are currently piloting AI projects, although half expect AI-driven agents to manage at least a quarter of their FX workflows within five years.

That makes the API and integration story particularly important. AI agents will only be able to automate meaningful parts of the FX workflow if they can access pricing, execution and risk functions programmatically and interact reliably with treasury systems.

The shift towards embedded FX therefore looks likely to be driven as much by architecture as by changing execution preferences. Before AI agents can take on a larger role in corporate treasury, banks and corporates first need the infrastructure that allows FX services to operate inside increasingly automated workflows.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to move to a modern, component based trading architecture using a Buy AND Build approach

To remain competitive in today’s electronic markets, firms need trading architectures that support rapid innovation, effortless integration of new capabilities, and the agility to respond to shifting market demands. This is prompting technology leaders to move beyond the traditional “Buy vs. Build” debate, a false dichotomy that oversimplifies the choice between generic, off-the-shelf platforms and...

BLOG

FutureSports and CME Look to Turn Sports Performance into a Tradable Asset Class

Professional sports could be about to acquire a new dimension as a financial asset class, with CME Group preparing to launch the first exchange-traded futures contracts based on the performance of National Hockey League (NHL) teams. The derivatives exchange plans to launch standard and micro-sized Hockey futures on September 28, pending regulatory review. The contracts...

EVENT

Eagle Alpha Alternative Data Conference, Fall, New York, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...