An AI agent often loops when attempting to approve customer emails due to several systemic issues. A primary cause is ambiguous or conflicting approval rules, where the system encounters criteria that prevent it from reaching a definitive 'yes' or 'no' decision, prompting it to re-evaluate repeatedly. This can be exacerbated by a lack of clear termination conditions, meaning the agent continuously processes without a defined stop mechanism once a decision should have been made or an action taken. Furthermore, dependencies on unresponsive or inconsistent external systems, like a customer database or a human review queue, can cause the AI to wait indefinitely or continuously retry a failed action. Unintended feedback loops also contribute, where the AI's own actions inadvertently trigger a condition that causes it to re-process the very same email. Lastly, inadequate error handling for timeouts or encountering unforeseen edge cases in email content can leave the agent stuck in an endless cycle of re-evaluation or retries. More details: https://www.inoon360.co.kr/log/link.asp?tid=web_log&adid=56&url=https://infoguide.com.ua/