Artificial Intelligence (AI) is no longer a futuristic concept - it’s a transformative force reshaping industries across the board. But in finance, where precision, compliance, and trust are paramount, the adoption of AI demands a cautious and strategic approach.
This research paper explores the current state and future potential of AI in finance, based on a comprehensive study conducted in spring 2025. Combining in-depth interviews with finance leaders and survey data from 83 professionals across sectors like healthcare, government, financial services, and retail, the report offers a nuanced view of how AI is being used - and what lies ahead.
Key insights include:
- AI is still in its infancy in finance, primarily used to automate repetitive tasks and improve operational efficiency.
- Forecasting and strategic decision-making are emerging as the next frontiers, with predictive analytics and generative AI seen as major trends.
- Data quality and knowledge gaps are the biggest barriers to adoption. Nearly 60% of respondents cite insufficient data and lack of expertise as key challenges.
- Autonomous accounting is on the horizon, promising end-to-end automation of accounting processes with minimal human intervention.
- Internal AI tools like chatbots are gaining traction, but their success hinges on high-quality data and effective prompt engineering.
- The urgency to act is clear—most respondents expect AI to become a standard part of financial processes within the next 2 to 3 years.
This paper not only outlines the current landscape but also provides actionable insights for finance professionals looking to navigate the AI transition. Whether you're exploring AI for the first time or seeking to scale existing initiatives, this research offers valuable guidance on building a solid data foundation, overcoming implementation hurdles, and preparing your team for the future of finance.
Download the full report to discover how AI is shaping the future of finance - and what you can do today to stay ahead.
