For decades, the finance function chased a single metric: budget accuracy. But in 2027 competitive advantage lies elsewhere — in how fast a company reallocates resources when conditions shift. The Vedrai Observatory calls this Decision Latency: the time between a change in the drivers and the decision that should follow. This report maps the four drivers that can break the 2027 plan (demand, energy, rates, trade), introduces a four-scenario framework — from Cost of Inaction to Breaking Point — and shows how AI turns decision simulation from an occasional exercise into a continuous cycle. A shift in perspective for CFOs, controllers and leadership teams: the budget stops being a document and becomes a system of ready-to-fire triggers.

KEY INSIGHTS

• In 2027, speed beats accuracy. The real planning bottleneck isn't forecast error, it's Decision Latency: the days lost between new information and the reallocation of resources. Some 53.9% of finance leaders admit their budget is already outdated by mid-year.
• Four scenarios to decide before the shock hits. The Cost of Inaction → Available Actions → Optimized Allocation → Breaking Point framework replaces the classic base/optimistic/pessimistic trio with questions that lead straight to a decision: what's the threshold beyond which the plan breaks, and which move must fire before you reach it.
• AI doesn't predict the future, it makes deciding often affordable. It isn't the machine that guesses right, but the infrastructure that cuts the marginal cost of every new simulation, letting you refresh the plan continuously instead of once a year. Today only 23% of planning teams actively use AI — leaving a wide first-mover advantage.