Maximizing ROI from AI in the Finance Function

Mar 19, 2026, 2:18 AM

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The integration of artificial intelligence (AI) into finance functions is accelerating, yet many organizations struggle to achieve significant returns on their investments. A recent survey indicated that while 74% of finance professionals believe their AI initiatives are meeting or exceeding ROI expectations, only 26% have moved beyond proof-of-concept to generate economic value from these projects. Understanding how to effectively leverage AI can help bridge the gap between expectation and reality in financial returns.

Companies are increasingly investing in AI capabilities, with 62% of US firms reporting moderate to large-scale AI usage in their finance departments. However, achieving a meaningful ROI remains elusive for many. On average, the median ROI reported is only 10%, significantly below the 20% target many leaders aim for. This discrepancy highlights the need for a strategic approach to harness AI’s full potential.

Key Strategies for Achieving ROI

Focus Relentlessly on Value: Successful finance teams prioritize quick wins and tangible impacts over prolonged learning periods. By emphasizing early results, organizations can increase their likelihood of success by 6 percentage points. Allocating a dedicated budget for AI initiatives ensures that resources are directed toward effective projects that demonstrate clear benefits.

Adopt a Broader Transformation Perspective: Teams that integrate AI initiatives into their overall finance transformation agenda report higher success rates. This approach, where interconnected use cases build upon one another, can stretch investments further and enhance organizational redesign efforts. For instance, a consumer goods company successfully revamped its financial planning processes by creating a driver-tree model that connects operational metrics to financial outcomes, leading to a 50% reduction in report generation time.

Track ROI Systematically: Many finance leaders struggle with quantifying the ROI of AI initiatives, particularly when benefits are intangible. Implementing systematic tracking methods, such as using proxies for value measurement, can help organizations keep initiatives focused and aligned with business goals. This practice not only clarifies the impact of AI investments but also refines the metrics used to assess overall performance.

Promote Collaboration: Collaborating with IT and external partners can enhance the success of AI initiatives. Finance functions that work closely with IT teams and leverage vendor expertise see improved outcomes. Moreover, dedicating resources to fully staff teams focused on AI can increase success rates by up to 5 percentage points. This collaboration is essential as AI systems often require significant technical support for effective implementation.

Overcoming Implementation Challenges

Despite the potential benefits, many finance teams face significant hurdles in AI adoption. Concerns about data integrity, compliance, and the complexity of AI systems can impede progress. A survey found that 41% of finance leaders are hesitant to prioritize AI due to a lack of clear strategic vision, and 40% cite change management challenges as a barrier to successful implementation.

To address these issues, finance leaders must focus on governance and risk management from the outset. Establishing frameworks for accountability and transparency will build trust in AI-driven solutions and mitigate fears surrounding AI errors or compliance issues. This proactive approach can help organizations navigate the complexities of AI while ensuring that initiatives align with regulatory requirements and business objectives.

Real World Examples of Successful AI ROI

Several organizations have successfully leveraged AI to drive significant ROI. For instance, a global paper and packaging manufacturer implemented an AI solution to automate their invoice processing, resulting in a drop in validation needs from 15% to 9% and saving staff several hours each day. This efficiency translated into rapid cost savings and demonstrated clear ROI within months.

Additionally, companies focusing on high-impact areas such as accounts payable, fraud detection, and forecasting have reported some of the highest returns on their AI investments. Notably, organizations applying AI to accounts payable processes have achieved a remarkable 136% ROI, translating to substantial financial savings over a three-year period.

Looking Ahead

As AI technology continues to advance, finance leaders must evolve their strategies to maximize returns. By focusing on value realization, fostering collaboration, and embedding AI into broader transformation efforts, organizations can significantly improve their financial outcomes. While challenges remain, the potential of AI to enhance decision-making, improve efficiency, and drive strategic initiatives is undeniable.

In conclusion, achieving a strong ROI from AI in finance requires a multifaceted approach that balances strategic vision, operational execution, and continuous learning. Organizations that succeed in this endeavor will not only optimize their financial functions but also position themselves as leaders in the rapidly evolving business landscape.

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