Artificial intelligence (AI) is disruptive, thus, backward-looking benchmarks are no longer sufficient. We performed a zero-quartile benchmarking towards enterprise performance management 2030. It is an idealized (collectively deemed best possible) future state that a company should seek by means of leveraging AI – finally to differentiate from peers. Based on a literature review, we conducted a survey with subject matter experts. We then applied the Rasch algorithm to finally discuss our results with executive managers towards their implementation. To drive future discussions, we reveal three design guidelines such as implementing predictive-analytics-based rolling forecasts instead of budgets.