LLMs can produce credible FP&A output without understanding, forcing Finance to rethink trust, judgment, review and accountability.
This Digest issue examines how Finance can turn tacit knowledge into AI-ready logic.
Decision Governance helps FP&A turn AI-supported signals into accountable management decisions through clear ownership, boundaries, evidence and learning.
FP&A should lead Applied AI scoping before vendor evaluation by defining the use case, deployment model, governance and measurable value.
AI-enabled scenario management helps FP&A turn uncertainty into trigger-based action by connecting signals, owners, interventions, and trade-offs.
Why FP&A should measure AI investment through predictive value, governance, and strategic impact rather than headcount reduction.
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