How to Write an Executive Summary with AI

An executive summary is a short, standalone overview of a longer report, proposal, or analysis. It helps a decision-maker understand why the document exists, what it found, what conclusion follows, and what action is requested. AI can search the full text, create an outline, and draft concise prose, but it may omit the most important caveat, confuse periods or denominators, or add a recommendation that the source does not support. Start by identifying the audience and decision. Provide the complete source or an approved excerpt, ask the model to separate findings from recommendations, and mark unknown information instead of filling gaps. Then compare each number, name, date, and conclusion with the original. If the source contains uncertainty, preserve it: a forecast is not a result, and a possibility is not a commitment. Put the main point first, but do not hide risks or contrary evidence that could change a decision. The summary should be understandable without the longer document while linking to the relevant section or table for verification. Check that units, time periods, and scope are consistent, and remove sensitive material before sending data to an unapproved service. AI can make the first draft faster, but the author owns accuracy and the decision framing. A short summary is powerful because readers may rely on it more than the source, so review it as carefully as the full report.