Nine in 10 (90%) of UK finance leaders have a clear business case for using AI in cash and liquidity management, but only seven in 10 (71%) can clearly measure the business value their AI initiatives deliver, according to new research from FIS® , a global leader in financial technology. The study, conducted by Opinium in June–July 2026 among 100 senior finance directors at UK companies with £250 million or more in revenue, suggests what is holding AI back in finance is not belief in its value, but the ability to prove it.
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The same gap between accountability and visibility runs through cash itself, with two-thirds (65%) saying investment decisions are sometimes made without a complete picture of available liquidity, a finding that carries real risk, given that almost every finance leader surveyed (97%) says the function is increasingly accountable for cash and liquidity outcomes, even when the underlying data, systems or processes sit outside its direct control. Respondents report that their finance teams spend an average of 16.2 hours each week gathering, reconciling and validating cash-position data before sharing it with senior stakeholders, which reduces capacity for the higher-value analysis leaders are being asked to provide.
AI is firmly established on the finance agenda. Nine in 10 (90%) UK finance leaders have a clear business case for using it in cash and liquidity management, 89% understand where it can deliver the greatest value, and 91% believe their teams have the skills to use it effectively.
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