The rising adoption of enterprise AI, expected to reach 40% by the end of 2023, brings challenges related to the "black box" problem in AI. Black-box models lack transparency, making it difficult to understand AI decisions, potentially causing trust issues, biases, and compliance concerns. Explainable AI (XAI) aims to address this by offering interpretable explanations for AI outputs.