Moving Trade Finance Beyond the Pilot Phase
By Ali Paterson · 15 September 2026
In brief: Heather Crowley of J.P. Morgan explains that AI's true value in trade finance lies in automating back-office processes and regulatory compliance rather than isolated pilot projects.
| Series | Spotlight on J.P. Morgan |
|---|---|
| Key Speaker | Heather Crowley, J.P. Morgan |
| Organization | J.P. Morgan |
| Primary Market | Global |

Quick Summary
The trade finance industry has spent over a decade discussing digitisation, yet many initiatives remain stuck in the pilot phase. Heather Crowley of J.P. Morgan joins this FF News Spotlight episode to explain why the most significant gains from Artificial Intelligence are currently found within the bank back office, where institutions can exercise direct control over high-volume processes.
What has hindered the progress of digitisation in trade finance?
For the past 10 to 15 years, the industry has focused on individual successes, such as the single issuance of a Letter of Credit or a Bank Payment Obligation (BPO). While these milestones are celebrated on stages at events like Sibos and ITFA, they often represent isolated pilots rather than systemic change. The primary obstacles include:
- The sheer volume of physical documentation, with some shops handling up to 4 million pieces of paper.
- Complex regulatory requirements, such as those highlighted in the EMEA dear CEO letter, which increase costs and slow down operations.
- The difficulty of achieving client take-up for individual digital instruments.
How is J.P. Morgan using AI to drive meaningful change?
Heather Crowley suggests that the biggest impact comes from applying AI to concentrated areas that the bank can fully control. By focusing on the back office, J.P. Morgan can utilise AI tools to process millions of documents and manage regulatory elements more efficiently. This approach allows the bank to make a bottom-line impact on trade finance by reducing the high-cost elements associated with manual processing and compliance. Unlike external client instruments, which require slower external adoption, back-office improvements can be implemented immediately to drive internal efficiency.
What is the path toward industry-wide interoperability?
The transition from noise and one-off pilots to holistic change depends on banks digitising their internal operations and then working together. Heather Crowley notes that as more banks automate their back offices and begin to digitise amongst each other, interoperability will follow. When both banks and clients start using digital instruments as a standard rather than an exception, the industry will move away from the background noise of AI hype and toward a truly integrated digital ecosystem.
FF NEWS TAKE:
The shift in focus from client-facing pilots to back-office automation marks a pragmatic turning point for trade finance. By solving the paper and compliance problems internally first, J.P. Morgan is building the necessary foundation for broader industry interoperability. This strategy suggests that the future of digital trade will not be built on flashy one-off transactions, but on the quiet, high-volume automation of the traditional bank shop.
Frequently asked questions
Why is the back office the best place for AI in trade finance?
The back office is an area where banks have total control over their processes. By applying AI to the millions of pieces of paper and regulatory tasks handled internally, banks can create a more immediate bottom-line impact than they can through individual client-facing instruments.
What are the main challenges in trade finance digitisation?
The industry faces heavy regulatory burdens, such as those mentioned in the EMEA dear CEO letter, and a massive reliance on physical paper. Additionally, the slow take-up of digital instruments by individual clients has historically limited the scale of digitisation efforts.
How does AI help with trade finance regulations?
AI can be applied to the complex regulatory elements that typically slow down trade finance operations. By automating these high-cost compliance tasks within the back office, banks can operate more efficiently and reduce the friction caused by manual regulatory checks.
Part of our Sibos 2026 coverage.