Ripple is expanding GSmart across Ripple Treasury as the company adds more AI-driven tools for enterprise finance teams.
The technology is already being used by the San Francisco-based blockchain company’s enterprise customers and is designed to work inside the policies, data, and day-to-day processes that treasury teams already rely on.
Ripple’s GSmart Expansion
The latest expansion covers forecasting, liquidity, risk, reconciliation, and reporting, while giving finance teams new ways to assess information and make decisions. It simultaneously keeps existing controls and audit requirements in place. The development comes as companies rapidly increase their use of AI agents without having governance systems that have kept pace.
Ripple revealed that GSmart takes a different approach to financial decision-making by keeping calculations separate from AI interpretation. Its “deterministic engines” handle the behind-the-scenes financial calculations while AI examines policies, spots patterns, and explains suggested actions.
These agents track their respective processes and can recommend a specific action while identifying the policy clause supporting that recommendation. Execution remains subject to human approval. Meanwhile, Knowledge Studio will serve as the policy and governance layer for GSmart, which will let treasury teams define organizational policies and controls that guide how AI capabilities operate. The Analytics Studio will bring together treasury analytics and AI-based reporting through “Ask GSmart.”
Ripple Treasury’s SVP, Renaat Ver Eecke, stated,
“Every CFO is under pressure to embrace AI, but they’re equally responsible for ensuring every financial decision is explainable, governed and compliant. Rather than asking customers to blindly trust an AI system, GSmart works within each organization’s own treasury policies to surface recommendations transparently, while ensuring humans remain in control of every decision. This isn’t simply AI-native treasury, but rather treasury-native AI.”
The leading research and advisory company, Gartner, expects the average Fortune 500 company to be running more than 150,000 agents in the next two years. Yet only 13 percent of organizations currently believe they have suitable governance for AI agents.
AI Agents Put Crypto in the Spotlight
For Binance founder Changpeng Zhao, the connection between AI agents and crypto goes even further. He believes that these agents could become a major force behind the adoption of the industry as autonomous software looks for payment systems that can operate without human intervention. In an interview with Galaxy Research’s Alex Thorn, he said traditional finance can stop AI agents at card authentication or KYC checks, while blockchain networks are built to work through APIs.
Zhao expects agent-based trading and payments to arrive within months and use crypto.
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