AI adoption is reshaping finance functions as organizations move beyond pilot programs toward practical applications. A McKinsey survey of 102 CFOs found that 44% used generative AI across more than five use cases in 2025, compared to just 7% in 2024. Finance teams are deploying AI to improve forecasting accuracy, monitor working capital in real time, and accelerate reporting cycles.
Gen AI and agentic AI tools are also helping teams make faster data-driven decisions, generate financial reports, and simulate complex scenarios. For instance, companies have used AI assistants to cut the time needed for budgeting and analysis by up to 30%, while others rely on AI-driven decision support systems to identify spending inefficiencies and suggest targeted cost actions.
AI’s impact extends into back-office operations and procurement. Finance teams are using agentic AI systems to track contract compliance, prevent value leakage, and automate invoice analysis. Organizations that integrated AI into their finance functions have reported savings of up to 10% in large spend bases and reduced manual workloads by nearly a third. These results highlight that when AI implementation is structured around clear business priorities and supported by simplified processes, finance teams can achieve greater efficiency, deeper insights, and lasting value across their organizations.
