Modern Treasury, a US-based payments infrastructure company, has launched an artificial intelligence platform, according to a statement released on May 1.
Designed specifically for enterprise payment operations, the platform allows the business to enter what has quickly become a crowded AI market. But where Modern Treasury’s offering stands out is that they are targeting treasury teams.
The new platform comprises an AI-powered agent and a real-time workspace for managing financial workflows. According to the company, the platform is intended to move teams away from manual and reactive processes toward automation that supports “proactive, intelligent workflows.”
The product, described as the first of its kind tailored to payments, reflects a broader shift across the fintech sector as companies increasingly invest in AI to streamline internal operations and reduce reliance on legacy systems.
“AI is only as good as the data, and Modern Treasury is uniquely positioned to deliver the first AI capabilities with relevant payments context,” said Sam Aarons, co-founder and CTO of Modern Treasury.
“We see the full payment lifecycle. We see the metadata, the reconciliation logic, the exceptions, and the outcomes.”
Founded in 2018, Modern Treasury provides payment operations software used to move and track money across banking, ERP, and processor systems. The company says it handles payment volume in the trillions of dollars, providing a data foundation that underpins its latest AI initiative.
AI for enterprise payments
The announcement comes at a time when corporate finance teams face pressure to reduce costs and increase operational resilience.
A 2025 report commissioned by Modern Treasury and Harris Poll found that 90% of companies continue to struggle with payment operations, citing issues such as delayed reconciliations and fragmented workflows.
Modern Treasury’s new platform addresses these pain points with an AI Agent capable of responding to queries in plain language—such as identifying duplicate payments or summarising fees by processor—and initiating tasks such as issue resolution or workflow automation.
The company emphasises that the agent operates within enterprise-grade security and compliance frameworks, including role-based permissions and human-in-the-loop oversight.
In parallel, the Workspace product aggregates data from banks and software systems to allow teams to manage tasks in real-time. Modern Treasury claims this reduces the need for switching between tools and can help institutions identify anomalies such as missing files or unusual fees before they escalate.
“The AI Agent and Workspace are a major step forward in how modern companies run payments,” said CEO Dimitri Dadiomov. “Teams have been reactive for too long… These tools shift that paradigm.”
Customers and adoption
Early adopters include Alegeus, Parafin, and Settle—firms operating across health benefits, embedded finance, and B2B payments. Alegeus, a consumer-directed healthcare payments platform, is using the new tools to automate reconciliation and improve transparency.
“We’re excited to find patterns in our accounts, set up smarter rules, automate tasks, and easily share insights across the team,” said Elizabeth Dobbs, VP of Financial Operations at Alegeus.
A competitive but cautious landscape
While AI’s role in financial services has largely focused on consumer-facing tools—such as fraud detection and customer service chatbots—there is growing interest in how automation can reduce friction in back-office processes.
Payments, in particular, remain a complex domain where automation is often constrained by regulatory, operational, and technical challenges.
Unlike general-purpose AI systems, Modern Treasury’s platform is purpose-built, integrating with existing financial infrastructure rather than replacing it. Whether this approach offers a sustainable advantage in a fast-evolving market remains to be seen.
The company’s claim of being the first to offer a contextual AI platform for payments will likely attract attention from incumbents and challengers alike, especially as firms such as Stripe, Oracle, and SAP explore similar capabilities in their respective ecosystems.
