Halfway through 2026, and one topic is dominating every treasury conversation: AI.

83% of CFOs plan to increase AI spend over the next two years. The direction is clear. But for many treasury leaders, the question isn’t whether to act, it’s where to start.

The use cases are compelling: cash forecasting accuracy that spots patterns no analyst has time to catch, real-time FX volatility monitoring, proactive risk alerts instead of quarterly surprises and board-ready insights generated in seconds instead of hours. 

But knowing AI can help and knowing how to get there are two very different things.

That’s why we’re pointing our community to @Ripple Treasury’s guide: The Treasury Leader’s Guide to AI in Treasury Management.

This guide explains the difference between generative AI and agentic AI and addresses the real concerns (auditability, security, implementation complexity), while giving treasury leaders a practical roadmap to get started without disruption.

Teams leveraging Ripple Treasury’s purpose-built AI solutions are reporting 30%+ improvements in forecast accuracy and reclaiming weeks of analyst time every year.

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