According to @godofprompt, the Ensemble Reasoning pattern in AI involves generating multiple solutions using deductive, inductive, and analogical reasoning, then synthesizing these paths to produce a single, high-confidence answer (source: @godofprompt, Jan 16, 2026). This technique leverages the 'wisdom of crowds' within a single AI model, allowing for comparison between different reasoning approaches and identification of consensus or uncertainty. The business impact is substantial: organizations can achieve enhanced explainability, higher accuracy, and reduced risk of bias in AI-driven decision-making. This approach is especially valuable for industries requiring robust validation and transparency, such as healthcare, finance, and law, where ensemble reasoning can improve trust and regulatory compliance.