Ensure your AI Agent never stops improving with automatic corrections flagging and feedback-driven retraining. When an incorrect or inaccurate response is identified — by a user mid-conversation or an administrator during a quality review — it can be flagged immediately, initiating a targeted retraining process that addresses the error at its root. Each correction strengthens your agent's knowledge base, gradually eliminating inaccuracies and reinforcing the patterns that lead to high-quality, confident responses. The compounding effect of this continuous learning cycle delivers an AI Agent that grows more precise, more consistent, and more capable over time — meeting the rigorous accuracy standards that enterprise-grade customer support requires.