What might the “AI-fueled finance department of tomorrow” look like? (www.techradar.com)

Finance teams are naturally cautious about AI—CFOs have a “hype immunity” that prioritizes cost, ROI and risk control—so adoption will hinge on demonstrable business value and solid foundations. Market data reflects this tension: many firms are doubling down on AI (EY: 34% of current investors plan $10M+ spend in 2025), yet Gartner warns ~30% of GenAI projects will be abandoned after PoC due to poor data quality, weak risk controls, rising costs or unclear value. That reality explains why finance leaders demand high‑benefit, low‑risk use cases rather than experimental pilots. The most compelling opportunities are technical and practical: a unified, real‑time data layer to reduce errors and bias; AI that augments people with actionable, real‑time insights; and capabilities that improve resilience and regulatory compliance. Concrete examples include red‑flag spending alerts, automated invoicing and approvals to reduce payment friction, and—most significantly—AI‑enhanced FP&A. In FP&A, integrated data plus advanced predictive analytics can surface root causes, hidden dependencies, and run scenario simulations (market, regulatory, supply‑chain shifts) to boost decision velocity and strategic planning. In short, the “AI‑fueled” finance department is less about replacing expertise and more about empowering finance to be faster, more transparent and more strategic while keeping risk tightly managed.