Many enterprises have already begun using enhanced visibility through "control towers," which provide decision-makers access to real-time manufacturing data aggregated across the organization. These insights enable timely and financially-sound decision making and provide intelligence on tradeoffs. Decision intelligence processes take this process further by applying AI to the "control tower," so that these decisions can be optimized without the need for manual human analysis that may introduce latencies or errors in key decisions that need to be made quickly. An example of this would be when a procurement team learns that an excipient supplier was used in manufacturing a drug and is unable to make their shipment as planned. Through decision intelligence, procurement professionals can quickly respond by sending instructions to the manufacturing floor to slow down production on the line of that drug product.