The Rapid Advancement of AI in Finance: Are Companies Equipped to Trust the Results?

The Current State of AI in Finance

A recent report by OneStream, based on a study involving 1,300 CFOs from the U.S., U.K., and France, has unveiled the complexities facing the financial sector as it increasingly integrates artificial intelligence (AI) into its operations. While an impressive 74% of finance leaders have adopted AI to alleviate manual tasks, a concerningly low 14% have reported achieving enterprise-level value from these investments.

This discrepancy highlights the fundamental issues ingrained in corporate structures, where the rush to adopt technology has not been met with the necessary foundational elements to ensure reliable and trustworthy outcomes. In fact, according to Robert Kugel, Executive Director of Business Research at ISG Research, simply adopting AI won't result in tangible improvements if the groundwork for data reliability isn’t laid out. As AI grows increasingly pivotal in decision-making processes, the requirement for transparency, explainability, and traceability becomes critical.

The OneStream Forward Finance Index provides a framework for assessing how organizations are navigating the shift towards AI. Despite the promising shift towards utilizing AI for financial management, only 6% of the financial organizations surveyed are performing effectively across five crucial areas: AI strategy, data integrity, operational efficiency, workforce readiness, and IT collaboration.

Recognizing Key Barriers

The research has identified significant gaps that hinder finance departments from maximizing AI capabilities. Notably, 71% of finance executives express confidence in their ability to deliver trusted data. However, only 40% categorize their financial data as fully transparent. This disparity spells trouble for reliable decision-making processes.

Moreover, although most organizations are eager to leverage AI, only 15% have implemented comprehensive AI training programs for their workforce. This lack of preparation poses future risks; 66% of leaders concede that failing to train their employees could render their organization irrelevant in the next five years. The report reinforces the notion that a workforce equipped with the necessary skills is essential for successfully integrating AI.

Finance teams often find themselves in tricky waters when it comes to operational visibility. Although 73% actively pursue efficiencies across business units, only 17% have effective risk-identification strategies. This glaring mismatch reveals the challenges in driving value from AI initiatives.

The Cost of Inaction

The implications of these gaps are staggering. OneStream's research indicates that finance-driven insights currently influence decisions worth an average of $1.6 billion annually, with early warning signals potentially averting losses exceeding $10 million. Yet, as organizations lag in aligning their strategies with effective execution of AI initiatives, they lose out on these significant savings and opportunities. Tom Shea, CEO of OneStream, emphasizes the importance of establishing a unified data environment as a means of minimizing risk and transforming AI from theoretical to operational benefits.

A Vision for the Future

To bridge the gap between ambition and execution, forward-thinking finance leaders advocate treating AI as an integrated operational model rather than just a series of pilot projects. By grounding their strategies in trusted data and ensuring their workforce is AI-ready, these leaders consistently outperform their competitors. Notably, 86% of high-achieving leaders maintain an end-to-end view of data lineage, making this foundational transparency vital for successful AI adoption.

As the financial landscape continues to evolve, organizations must reassess their approach towards AI integration. Fostering collaboration between finance and IT, prioritizing data-driven decision governance, and investing in workforce training are pivotal steps. Overall, leaders who adapt their structure and processes to better harness the power of AI will undoubtedly gain a competitive advantage in decision-making amidst the ongoing digital transformation.

In conclusion, the potential of AI in enhancing finance is monumental, but without a solid foundation and the readiness to adopt changes, organizations will continue to drift. Addressing these gaps is not just an operational requirement—it's a necessity for securing the future of finance in an AI-driven world.