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Treasury Teams Struggle to Balance AI Ambitions with Cash Forecasting

While 30% of corporate treasury departments now list artificial intelligence as a top five priority, the persistent difficulty of cash and liquidity forecasting remains the profession’s primary hurdle. According to the 2026 AFP Treasury Benchmarking Survey, this gap between emerging technical goals and core financial realities defines the current landscape.

Bio & NewsSeptember 15, 2026834 reads0

The report, sponsored by PNC Bank, reveals that 49% of practitioners identify cash forecasting as their most significant operational challenge, even as organizations push to integrate automation into their workflows. The data highlights a distinct friction point: treasury teams are being tasked with broader strategic mandates while operating within lean structures.

Governance and internal knowledge are lagging behind the push for technological adoption. While traditional functions like bank relationship management score high in internal policy effectiveness, AI and emerging technology policies received the lowest marks among all areas measured. Furthermore, only 34% of respondents feel confident in their own AI knowledge, creating a clear disconnect between the perceived necessity of these tools and the expertise available to manage them. Success, according to industry experts, will require more than software; it demands a shift in leadership and a focus on soft skills—such as critical thinking and strategic planning—to bridge the gap between innovation and tangible business impact.

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