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Modern Treasury rolls out AI platform
This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author. Built on the company's industry-leading Payment Ops infrastructure, Modern Treasury AI blends a context-aware agent with a powerful, real-time workspace. Together, they
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Modern Treasury Debuts AI Platform for B2B Payments | PYMNTS.com
Modern Treasury has introduced what it calls the first artificial intelligence (AI) platform purpose-built for enterprise payments. Modern Treasury AI, announced by the payments operation platform Thursday (May 1), features an artificial intelligence (AI) agent designed to meet the needs of
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Modern Treasury introduces an AI-powered platform designed to transform payment operations for businesses, featuring an intelligent agent and workspace that streamline workflows and provide real-time insights.

Modern Treasury, a leading payments operation platform, has launched an innovative artificial intelligence (AI) platform specifically designed for enterprise payments. The new offering, called Modern Treasury AI, combines an AI agent with a powerful workspace to revolutionize how businesses manage their payment operations
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.At the heart of Modern Treasury AI is an AI agent built to address the unique challenges of payment operations. Unlike generic AI models, this agent is auditable by design and delivers verifiable results based on a deep understanding of enterprise payment systems and workflows
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.Key features of the AI agent include:
Contextual Understanding: The agent leverages Modern Treasury's vast dataset of trillions of datapoints on enterprise payments, providing unparalleled insights into payment lifecycles, metadata, reconciliation logic, and exceptions
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.Real-time Responses: It can answer operational queries in plain language, such as inquiries about cash balances, payment statuses, reconciliation items, and fee summaries
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.Rule and Role Compliance: The agent operates within security and compliance requirements, respecting user permissions and configurable human-in-the-loop approvals
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.The AI platform also introduces a workspace that serves as a centralized hub for payment teams. This workspace offers:
Proactive Monitoring: AI-powered scanning for anomalies like duplicate payments, missing files, and unexpected fees
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.Workflow Automation: No-code tools for creating and managing recurring tasks across teams and systems
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.Collaboration Features: Built-in commenting, task assignments, and AI-powered support to enhance team efficiency
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.Knowledge Integration: A central knowledge base combining company-specific procedures with Modern Treasury's payments expertise
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The introduction of Modern Treasury AI represents a significant shift in payment operations management. Dimitri Dadiomov, CEO and co-founder of Modern Treasury, emphasizes that this tool allows organizations to manage payment ops proactively, with enhanced speed, intelligence, and control
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.Industry experts, like Ram Sundaram from TerraPay, highlight the importance of reliability in financial services AI applications. While acknowledging the potential of agentic AI in payments, Sundaram stresses the need for 100% reliability before full automation can be implemented
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.Companies like Alegeus, Parafin, and Settle are already utilizing the AI Agent and Workspace to enhance their payment monitoring and management processes. Elizabeth Dobbs, VP of Financial Operations at Alegeus, anticipates significant time savings and improved strategic focus through the use of Modern Treasury's AI
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.As the field of AI in financial services continues to evolve rapidly, the industry is likely to see further innovations and potentially reduced costs as the technology becomes more commoditized. However, challenges remain, particularly in data management and integration across various organizational silos
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.Modern Treasury's AI platform marks a significant step forward in the application of artificial intelligence to enterprise payment operations, promising to transform how businesses handle their financial workflows in the coming years.
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