What does AI-augmented decision making look like in practice for senior executives?

AI-augmented decision making for senior executives involves treating AI, particularly large language models (LLMs), as a reasoning partner rather than a mere shortcut, where executives delegate complex tasks with clear objectives to enhance cognitive processes and drive ambitious strategies [2]. In practice, 62% of UK executives rely on LLMs for decision support, integrating AI into core workflows to offload repetitive tasks, extract insights from datasets, and enable faster, more reliable choices in areas like finance, marketing, and supply chain [5][8]. This often includes overseeing AI agents via specialized roles like agent managers to ensure alignment with business objectives, while frameworks such as the 2-Step Agent model the human-AI interaction to mitigate overreliance and improve outcomes [3][9]. Transparency through explainable AI (XAI) is emphasized to make AI-assisted management decisions ethical and understandable [10].