What is decision augmentation and when is it beneficial to use it in the decision intelligence process?

Decision Augmentation refers to the use of AI and advanced analytics to enhance human decision-making by providing timely insights, recommendations, and data relevant to human end users. It provides business leaders and employees with tools that clarify complex situations, highlight potential risks or opportunities, and suggest the best course of action. Decision augmentation allows humans to make more informed, efficient, and higher-quality judgments. It can be beneficial within the Decision Intelligence process when requiring decisions to be swifter, more informed, and more accurate. The concept of decision augmentation is suitable for use cases of medium complexity and consequence — where the stakes are meaningful but the decision window is tight. In these scenarios, decision augmentation surfaces the most relevant options, ranks them by risk and impact, and equips analysts and business leaders with the context needed to act with confidence. Rather than replacing human judgment, decision augmentation strengthens it — ensuring that the right people have the right information at the right moment to choose the most effective course of action.