In the ever-evolving landscape of artificial intelligence, accountability has emerged as a crucial aspect. As AI systems evolve increasingly complex, understanding their outcomes is paramount to building assurance and mitigating potential errors. XAI800T, an innovative framework, seeks to revolutionize AI explainability by providing actionable insi