Ripple is expanding its GSmart platform across Ripple Treasury, adding AI-driven tools for enterprise finance teams. The technology covers forecasting, liquidity, risk, reconciliation, and reporting while keeping existing controls and audit requirements intact. Ripple Treasury’s SVP stated that CFOs face pressure to adopt AI but must ensure decisions are explainable, governed, and compliant. GSmart uses deterministic engines for calculations and AI for policy analysis, with human approval required for execution. Meanwhile, Gartner predicts the average Fortune 500 company will run over 150,000 agents within two years, yet only 13% of organizations have suitable governance for AI agents.
Ripple is expanding its GSmart platform across Ripple Treasury, adding AI-driven tools for enterprise finance teams. The technology is already used by the blockchain company’s enterprise customers and works within existing treasury policies and processes.
The expansion covers forecasting, liquidity, risk, reconciliation, and reporting. It gives finance teams new ways to assess information and make decisions while keeping controls and audit requirements in place. Ripple revealed that GSmart separates calculations from AI interpretation. Its “deterministic engines” handle financial calculations while AI examines policies, spots patterns, and explains suggested actions.
These agents track processes and can recommend actions with supporting policy clauses, but execution requires human approval. Knowledge Studio serves as the policy and governance layer, letting treasury teams define controls that guide AI operations. Analytics Studio brings 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.” He added, “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.”
Research firm Gartner expects the average Fortune 500 company to run over 150,000 agents in the next two years. Yet only 13% of organizations currently believe they have suitable governance for AI agents. Separately, Binance founder Changpeng Zhao noted that AI agents could drive crypto adoption, as blockchain networks are built to work through APIs while traditional finance can stop agents at card authentication or KYC checks. He expects agent-based trading and payments using crypto within months.
