Finance teams cautiously embrace AI while rethinking ROI

Finance teams in the US and UK are cautiously embracing artificial intelligence (AI) while simultaneously rethinking return on investment (ROI) from AI adoption. That’s according to the AI-Powered Finance: New Practices, ROI and Future Outlook report from Emburse.

Based on a survey of 1,500 finance professionals, the report examines how finance functions are adopting AI to improve productivity and business outcomes. It found that while 66 percent of organizations have invested in AI, many are still determining how to measure its value.

As finance teams move beyond basic automation, the data suggests a growing need for solutions that connect AI to broader business strategy, using intelligence to optimize spend, reduce risk and enable faster decision-making.

How finance teams cautiously embrace AI

Finance departments are adopting AI at a significant yet gradual level, the report indicates. On average, respondents say they use AI 3.7 times a day with 37 percent of their tasks driven by AI to some extent. Over the next five years, they expect AI to transform planning and forecasting the most (26 percent).

What’s more, 81 percent of respondents say their efforts to measure ROI for AI have changed the way they evaluate business costs across the enterprise including outlays for software, systems and vendor partnerships. In addition to a heightened focus on traditional financial or operational efficiency metrics (53 percent), many finance teams are shifting toward more dynamic measurements, paying closer attention to long-term strategic impact (30 percent) and adopting real-time, adaptive evaluation frameworks (27 percent).

As a result, most respondents (74 percent) say that their company’s ROI in AI meets or exceeds expectations. The AI-driven finance functions currently providing the highest ROI are automating accounts payable and receivable (26 percent), forecasting or budgeting (26 percent) and fraud detection (25 percent).

“Finance teams aren’t hesitant to use AI. They’re embracing it cautiously and with the same rigorous, analytical mindset they apply to every strategic initiative,” said Adriana Carpenter, chief financial officer (CFO) of Emburse. “What’s transformative is how this mindset is redefining the very notion of value. By focusing on the integrity of how business outcomes are achieved with AI, finance leaders are creating more resilient, data-driven workflows that elevate both business performance and team alignment.”

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Overcoming AI adoption obstacles

However, there are obstacles that need to be overcome before finance can fully embrace AI automation. Finance leaders’ top concerns include data security and privacy risks (24 percent), AI making mistakes or introducing errors (18 percent), the effect on the finance role (18 percent) and compliance and regulatory challenges (10 percent).

Nearly a quarter (23 percent) of respondents say they would move jobs if their employer did not take enough precautions to manage AI risk. 

“For AI to deliver on its revolutionary potential, it must be designed with the specific needs of finance leaders in mind,” Carpenter added. “That means it should be purpose-built, dependable and able to drive measurable business impact at scale.”

The PEX Report 2025 found that AI will be the biggest investment area over the next 12 months, with more than half of businesses (58 percent) having discussed potential AI projects to drive transformation objectives.

How process intelligence transforms manufacturing & supply chains: 2025 industry report

This industry report examines how and why organizations are investing in process intelligence to enhance manufacturing and supply chain management. “Global manufacturing and supply chains face enormous volatility in 2025,” says Michael Ochi, director at QAD. “Individual organizations feel tremendous pressure but also have new opportunities to grow. Any combination of protective and expansive business strategies requires constant speed and awareness.” 

Organizations with significant manufacturing and supply chain operations are turning to process intelligence because it is uniquely capable of providing speed and awareness to any part of the business that leverages software.

Download the report to explore:

• The top five trends shaping process intelligence.
• Case study examples of process intelligence transforming manufacturing and supply chains.
• The key success factors and challenges of process intelligence adoption

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