This paper explores how AI-based reasoning systems can contribute to the study of religion by offering a new way to analyze, compare, and communicate classical theological and metaphysical arguments across traditions. As a case study, it presents the first mechanization of Avicenna's (d. 1037 CE) proof of the Necessary Existent in Isabelle/HOL, with attention to its potential as a shared object of inquiry for interreligious and secular philosophical audiences. The broader claim is that symbolic AI, unlike generative or statistical systems, can function as a transparent interpretive tool for religious thought: not by replacing human judgment, but by making assumptions, inferential steps, and ambiguities explicit. Avicenna's metaphysics is especially suitable for this purpose. His distinction between necessity, possibility, and impossibility shaped later debates across the Islamicate and Latin worlds and remains central to contemporary philosophy of religion. By translating and testing key steps of his proof into a hybrid framework combining modal and free logic, the project shows how AI can clarify when a proof succeeds, when it depends on hidden assumptions, and when alternative frameworks yield different theological outcomes. The paper also reflects on the role of AI in interreligious research. Formal languages cannot capture the whole of religious life, e.g. its ritual, affective, and embodied dimensions. Yet they can provide a common space in which traditions with different vocabularies may compare arguments about God, necessity, causality, and existence without immediately collapsing their differences. In this sense, AI-assisted formalization can support interreligious dialogue not by enforcing uniformity, but by making conceptual structures more visible and discussable. The paper thus proposes symbolic AI as a promising instrument for the study of religion: one that combines logical rigor, interpretive transparency, and cross-cultural applicability.