The AI Explainability Audit service offers independent assessment of AI explainability in agriculture, focusing on the results of AI systems, not the technical details. We examine the explanations provided by AI systems (e.g., for crop management, livestock care, or resource optimisation) to ensure they are clear, accurate, and relevant to real-world farming practices. The service assesses whether these explanations are easily understood by farmers and other stakeholders, identifying any gaps or [...]