Original Summary

As AI agents become capable of taking actions inside business software, I'm wondering how companies are handling authorization. For example, imagine an AI agent that can: change customer/account data issue refunds approve transactions modify records trigger operational workflows Traditional software usually has permissions and roles, but AI agents can make decisions dynamically and potentially perform many different actions. How are companies currently handling this? Do you: require human approval for certain actions? use existing RBAC/permissions? build custom rules? rely on the agent's instructions? simply limit what the agent can access? I'm interested in hearing what people are actually doing today and where the current approach breaks down. I'm considering building something in this area, but I'm trying to understand the problem before deciding whether to build it.   submitted by   /u/Big_Dog4200 [link]   [comments]

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Reddit · SaaS
  • 发布时间：2026/9/28 22:31:43