Why AI Agents Fail: Practical Adoption Strategies Based on Data, Security, Cost, and Operational Challenges

AI agents can fail for various reasons, including data errors, security threats, rising costs, and system integration issues. This course examines the major obstacles and failure cases that arise during the adoption of AI agents and explains practical, hands-on strategies for design, assessment, and operation to prevent them. Through this, you can understand the risks and limitations of AI agents and establish an adoption approach suited to your organization, along with standards for stable operation.