Actually, the core point stems from the fact that many current AI SaaS platforms are still focused on the privatization mindset of old-school SaaS platforms. Take the simplest example of travel expense reimbursement on the financial platform I used to work on. Inconsistencies in approval processes across different companies can lead to the need for privatizing and restructuring the SaaS platform. For instance, some companies require multi-level approval for financial disbursement, some have direct system review and disbursement upon invoice submission, and others require departments to set up a fund pool, with disbursement directly from the pool after approval, bypassing the finance department, among a series of other requirements. Now, as long as AI ensures the reliability of its training models, all these can be automated through input requirements, which is the advantage of AI in this era. Of course, the autonomy and reliability of data are inherently the advantages of SaaS privatization deployment. The empowerment of AI SaaS far exceeds the efficiency advantages of native SaaS platform empowerment. 🤪