New Surveys Show AI Gains Are Uneven Across Finance

Why It Matters

Uneven AI outcomes risk widening efficiency gaps between strategic finance functions and day‑to‑day accounting, affecting overall corporate performance. Firms that establish strong governance and integrated workflows are more likely to capture AI‑driven value.

Key Takeaways

• AI used by 75% of finance teams; 23% see ROI exceed expectations
• Gains focus on planning and forecasting, boosting decision quality, speed, accuracy
• Accounting workflows suffer from fragmented tools, low automation, and excessive handoffs
• Strong AI performance ties to governance, data quality, and integrated processes

Pulse Analysis

Artificial intelligence has moved from pilot projects to core finance operations, with more than three‑quarters of CFO offices now leveraging machine‑learning models for budgeting, reporting and scenario analysis. This rapid diffusion reflects broader market pressure to accelerate decision cycles and harness large data sets, positioning AI as a competitive differentiator for enterprises seeking real‑time insight. Yet the technology’s promise is contingent on the underlying data architecture and the ability to embed models into existing financial systems.

The surveys expose a stark divergence: while strategic finance units reap gains in decision quality, speed and forecast accuracy, many accounting teams remain mired in manual handoffs and siloed applications. Fragmented workflows, insufficient automation and weak data governance erode potential ROI, limiting AI’s impact to isolated pockets. Organizations that pair AI with robust governance frameworks, standardized data pipelines, and cross‑functional integration report markedly higher performance, underscoring that technology alone cannot deliver value without disciplined process design.

Looking ahead, finance leaders must treat AI as an ecosystem rather than a standalone tool. Prioritizing data quality, establishing clear accountability for model outcomes, and consolidating disparate systems will enable scalable automation across the entire finance function. Companies that invest in these foundational elements are poised to translate AI adoption into consistent, enterprise‑wide efficiency gains, while those that overlook them risk widening the gap between strategic insight and operational execution.