Making the reasoning behind a conclusion intelligible to human reviewers, Explanation & Rationale Generation is the agentic skill through which an AI agent articulates, in human-understandable terms, how a particular conclusion, recommendation, or output was reached. Its primary function is to reconstruct and communicate the logical chain, evidence considered, assumptions made, and criteria applied in arriving at the agent’s output, thereby rendering otherwise opaque computational decisions more transparent and auditable. ...