Decision Architecture helps FP&A keep AI-supported financial decisions explainable, traceable and defensible by preserving human judgement and accountability.
LLMs can produce credible FP&A output without understanding, forcing Finance to rethink trust, judgment, review and accountability.
How FP&A can preserve accountability, trust and decision influence when forecast ownership is distributed across a matrix organisation.
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.
Why FP&A should measure AI investment through predictive value, governance, and strategic impact rather than headcount reduction.
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