Enterprise AI for Treasury: A Guide to Agentic Implementation

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. The systems hold the information >That is where agentic AI changes the equation - bringing intelligence to the data and decisions that automation alone cannot resolve. For the first time, treasury has access to systems that can reason across data sources, interpret context, prioritize what requires attention, and act within boundaries the treasury professional defines. The result is not just faster execution but smarter, more timely treasury decision making - both at the >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 and, for many startups, survival itself.

Pagina's: 198, Paperback, KRISHBOOKS LLC