{"version":"https://jsonfeed.org/version/1","title":"Micro.blog - Rosa Ctoun","home_page_url":"https://micro.blog","feed_url":"https://micro.blog/posts/ctounrosa","_microblog":{"about":"https://micro.blog/about/api","id":"1947401","username":"ctounrosa","bio":"From what I learned by exploring <a href=\"https://www.trinetix.com/insights/ai-agents-for-enterprise-guide\">https://www.trinetix.com/insights/ai-agents-for-enterprise-guide</a>, enterprise AI agents are quite different from traditional automation tools because they possess core capabilities such as autonomous decision-making, learning from data, and adapting to new situations across various functions like finance, HR, IT, and customer service. The guide explains that these agents help bridge the gap between deployment and sustained value by providing scalable solutions when supported by solid architecture and governance. It highlights several real-world use cases validating how AI agents improve efficiency while maintaining compliance and minimizing risk. Security and governance are central themes, as AI agents can introduce new vulnerabilities if not properly managed. The framework provided for evaluating and selecting AI agent platforms stresses the importance of balancing functionality and risk. Moreover, the article digs into measuring AI agent ROI, which remains critical for assessing their impact. Companies that focus on governance and infrastructure today are likely to scale AI agents successfully while others lag behind.","pronouns":"","is_following":false,"is_you":false,"following_count":1,"discover_count":0},"author":{"name":"Rosa Ctoun","url":"https://ctounrosa.micro.blog/","avatar":"https://www.gravatar.com/avatar/4818c3acdc7726aec0dffdcfd2d72cb3?s=96&d=https%3A%2F%2Fmicro.blog%2Fimages%2Fblank_avatar.png"},"items":[]}