Unlocking ROI from AI in Finance: Strategies for Success

Mar 21, 2026, 2:30 AM

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As artificial intelligence (AI) continues to reshape the finance landscape, organizations are grappling with how to effectively harness its potential for improved returns on investment (ROI). A recent survey by KPMG revealed that 62% of US companies are using AI to a moderate or large degree in their finance functions, with 92% reporting that their AI initiatives are meeting or exceeding ROI expectations. However, many finance leaders acknowledge that significant challenges remain in fully realizing these benefits.

The Current State of AI in Finance

The integration of AI into finance has seen a surge in activity, with finance teams increasingly leveraging AI for functions such as financial planning and accounting. Despite this progress, only 35% of expense management processes are currently AI-driven, indicating a substantial opportunity for enhancement in automation and spend optimization. Moreover, while 74% of finance professionals state that their AI investments are delivering the expected ROI, a significant number still struggle to quantify these returns effectively.

A study by Boston Consulting Group found that while belief in AI is high, actual performance often falls short, with a median reported ROI of just 10%—well below the 20% target many organizations aim for. This gap is largely due to unclear strategies and difficulties in implementation, which hinder many teams from moving beyond pilot projects to fully operational AI solutions.

Key Strategies for Achieving ROI

To convert AI investments into tangible results, finance leaders should adopt several strategies that emphasize planning, collaboration, and value realization.

1. Focus on Value from the Start

Organizations achieving strong ROI from AI initiatives prioritize value generation from the outset. This means selecting use cases that promise quick wins rather than merely experimenting with technology. The Boston Consulting Group's study highlighted that high-return teams emphasize early impact, which can increase the likelihood of success by 6 percentage points.

2. Collaborate Across Departments

Successful implementation of AI in finance relies heavily on collaboration between finance and IT departments. A report from Basware indicated that companies prioritizing collaboration in their AI strategies see a significant boost in ROI, with 50% of CFOs expressing that their AI initiatives would be cut if they did not demonstrate measurable results within a year. By leveraging IT expertise and existing technologies, finance teams can better navigate the complexities of AI integration.

3. Systematic Tracking and Measurement

Measuring the ROI of AI initiatives can be challenging, especially when benefits are intangible. Yet, systematic tracking of performance metrics—not just financial gains but also improvements in operational efficiency—can provide a clearer picture of AI's impact. Metrics like forecasting accuracy and resource load reduction can serve as valuable proxies for assessing AI performance.

4. Embrace Change Management

Change management is critical for successful AI adoption. Many finance leaders report that their organizations lack a clear vision for AI, which can create barriers to effective implementation. Ensuring that employees understand AI's purpose and benefits is essential for driving user adoption and minimizing resistance to new technologies.

Real-World Examples of AI ROI

Several organizations are already experiencing robust returns from their AI investments. For instance, a paper and packaging manufacturer reported a significant reduction in manual invoice processing time through the implementation of AI-driven automation, leading to a rapid return on investment within months. Similarly, teams that employ AI for tasks like fraud detection and accounts payable automation are reporting ROI figures as high as 136%.

These success stories underscore the importance of strategic focus when adopting AI. By identifying high-value areas for implementation—such as financial reporting and compliance—organizations can achieve measurable returns more quickly.

Future Outlook

As AI technologies continue to evolve, finance leaders must remain agile in their approach. The integration of AI into finance is not merely about enhancing efficiency; it also involves rethinking traditional processes to elevate the finance function from a transactional role to a strategic partner within the organization. With 41% of US finance leaders planning to increase their AI budgets, the potential for transformative change is substantial.

In conclusion, while the path to realizing ROI from AI in finance is fraught with challenges, a strategic approach centered on value creation, collaboration, and effective change management can help organizations unlock the full potential of this powerful technology. By aligning AI initiatives with broader business goals, finance teams can not only enhance operational efficiency but also contribute to the overall strategic direction of their organizations.

Maximizing ROI from AI in the Finance Function

As AI adoption in finance grows, organizations face challenges in realizing tangible ROI. A strategic focus on value, collaboration, and integration of AI into broader transformation efforts can enhance financial outcomes. This article explores effective tactics and insights to maximize returns on AI investments.

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