Finance Data Governance: The Five Controls Behind Every Defensible Number

Finance data governance lets the Office of the CFO show where a reported number came from. A Datarails guide describes five controls: access, approved versions, shared definitions, lineage and audit trail, and review and approval. It says AI use in finance makes that evidence harder to keep consistent.

• Each control answers who could see a figure, whether it is final, which definition applied, where it came from, and who signed off.
• KPMG surveyed 1,013 senior finance leaders in March 2026 about active AI use in finance.
• A 2024 PCAOB staff spotlight described limited outreach and stressed auditability of source data, user responsibility, and documentation of review.

• 75% — Active AI use in finance in KPMG’s March 2026 survey
• 30% — Active AI use reported in KPMG’s 2024 finance research
• 42% — Leaders who strongly agreed they can produce AI audit evidence efficiently
• 75% — Audit committee respondents ranking AI governance a top-three priority in 2026
• 35% — Share ranking AI governance a top-three priority the year before
• 56% — Respondents confident in their committee’s ability to oversee AI governance

The guide sits within wider data quality, change management, and retention frameworks, and points to Datarails FinanceOS for shared controls.

KPMG calls the comparison with 2024 research directional because questions differed. PCAOB notes are a staff spotlight, separate from an auditing standard.