AI agent reliability requires focusing on simple, constrained tasks rather than complex, autonomous functions. Most failures stem from agents' unpredictability, making them unsuitable for enterprise use. To improve reliability, enterprises should establish limited scopes, enforce governance, and maintain strict memory controls. Successful AI applications in enterprises are those that augment human work, not replace it, thereby gradually building trust and enhancing usability. Focusing on reliable and “boring” engineering ensures scalability and effectiveness in AI deployments.
https://www.infoworld.com/article/4112542/how-to-make-ai-agents-reliable.html