And available now
Enterprise AI for Treasury
A Guide to Agentic Implementation
By Arjun Krishnan, CTP · Foreword by Brad Larson
Enterprise-wide systems have transformed how treasury and finance teams manage cash, risk, payments, and liquidity. Automation executes. Analytics report. And yet, a significant part of their working day is still spent on what the systems cannot quite finish — reconciling exceptions, investigating anomalies, validating forecasts, and converting fragmented signals into decisions.
That is where agentic AI changes the equation — bringing intelligence to the data and decisions that automation alone cannot resolve. Treasury now has access to systems that can reason across data sources, interpret context, prioritize what requires attention, and act within boundaries the treasury professional defines.
Enterprise AI for Treasury is a practitioner's guide to that transformation — written from a business perspective and designed for anyone with a stake in getting this right: the treasurer evaluating AI investments, the CFO trying to separate signal from noise, the analyst curious about how these tools will affect their work, the technology professional exploring treasury applications, and the entrepreneur building a business where cash flow is the lifeblood of growth.
Available in paperback and Kindle
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