Finance Chiefs Struggling to Deliver in Face of Growing P...
Tech Beetle briefing GB

Finance Chiefs Struggling to Deliver in Face of Growing Pressure to Embrace AI

Essential brief

Finance Chiefs Struggling to Deliver in Face of Growing Pressure to Embrace AI

Key facts

Finance leaders face increasing pressure from boards to adopt AI technologies.
Many organizations invest in AI but struggle to demonstrate clear returns on investment.
Challenges include data quality issues, integration complexities, and skill shortages.
A strategic, incremental approach to AI adoption is recommended to maximize success.
Long-term planning and cultural change are essential to fully realize AI benefits in finance.

Highlights

Finance leaders face increasing pressure from boards to adopt AI technologies.
Many organizations invest in AI but struggle to demonstrate clear returns on investment.
Challenges include data quality issues, integration complexities, and skill shortages.
A strategic, incremental approach to AI adoption is recommended to maximize success.

In recent years, artificial intelligence (AI) has become a critical focus for corporate leadership, with boards and executives increasingly urging finance departments to integrate AI technologies. However, a new study by Basware reveals that while many finance chiefs are investing in AI and related technologies, they are finding it challenging to demonstrate tangible returns on these investments. This growing pressure highlights a significant gap between expectations and outcomes in the adoption of AI within finance functions.

The research indicates that a majority of finance leaders recognize the potential benefits of AI, such as improved efficiency, enhanced decision-making, and cost reduction. Consequently, many organizations have allocated substantial budgets toward AI initiatives. Despite this, the anticipated financial gains and operational improvements remain elusive for many. This suggests that the implementation of AI is more complex than simply deploying new tools—it requires strategic alignment, cultural change, and robust data infrastructure.

One of the key challenges identified is the difficulty in measuring the return on investment (ROI) from AI projects. Finance teams often struggle to quantify the impact of AI on their processes, partly because benefits like improved accuracy or faster reporting are intangible or realized over a longer term. Additionally, many organizations face hurdles related to data quality, integration issues, and a shortage of skilled personnel capable of managing AI-driven systems effectively.

The pressure from boards and executive leadership to "do something with AI" can sometimes lead to rushed or poorly planned AI initiatives. Without a clear strategy and realistic expectations, these projects risk underperforming or failing altogether. Experts suggest that finance leaders should focus on incremental AI adoption, starting with pilot projects that address specific pain points and gradually scaling successful solutions. This approach can help build confidence, demonstrate value, and foster a culture that embraces technological innovation.

Looking ahead, the role of AI in finance is expected to grow, with advancements in machine learning and automation offering new opportunities to transform financial operations. However, the Basware study underscores the importance of patience, strategic planning, and investment in skills development to unlock AI's full potential. Finance chiefs who can navigate these challenges will be better positioned to meet the demands of their boards and drive meaningful business outcomes.

In summary, while AI presents promising opportunities for finance departments, the current landscape is marked by significant implementation challenges and unclear ROI. Success will depend on a balanced approach that combines technology investment with strategic vision and organizational readiness.