Trend 3 of 5 – AI’s Role in Finance | Published July 3, 2025
“How much cash do we really have today?”
If you can’t answer that with confidence and in seconds, your treasury process is lagging behind.
Legacy treasury teams rely on next-day bank statements, spreadsheets, and siloed data. But volatility, multi-currency operations, and working capital cycles demand real-time intelligence — and that’s where AI is changing the game.
In 2025, companies face daily liquidity pressures: delayed receivables, FX devaluation, and rising interest costs. Without up-to-date cash forecasting:
Platforms like Kyriba, TIS, and TreasuryXpress now include AI modules that forecast inflows and outflows based on pattern recognition — not just static Excel rows.
Power BI can visualize global cash balances and treasury KPIs when integrated with APIs or automation platforms like Azure Logic Apps or Tableau Prep.
Features:
While ChatGPT can’t connect to banks, it helps explain trends, build policies, and automate narrative reports. Examples:
“Summarize the impact of a 5% EGP devaluation on our USD working capital.”
“Draft a treasury policy for cash buffer thresholds across 3 regions.”
AI helps CFOs create board-ready narratives in less time and with more clarity.
Don’t automate trust. Use AI to advise, not control, treasury moves.
AI gives CFOs the clarity and agility to manage cash proactively, not reactively. In volatile markets, that’s the difference between scaling and stalling.
Next in the Series: Trend 4 – AI-Augmented FP&A
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