We show how speech act conditionals (SACs) answer polar questions indirectly in a question answering system in a sales setting. Based on a classification of SACs we develop a probabilistic model that generates SACs as positive or negative answers. Empirical studies have been performed to establish the input probabilities for the system and to test the adequacy of the generated answers. The results suggest that SACs are appropriate answers if the user’s requirements are not well established.