三者功能相同,区别在于代码部署在何处、由谁维护、能否改造成只属于你们的版本。标准云按服务器规格报价,不按人数计费;另外两种按许可与项目计价。The features are identical in all three. What differs is where the code runs, who maintains it, and whether it can be reshaped into a version that is yours alone. Standard cloud is priced by server spec rather than headcount; the other two are priced by license and by project.
两条假设写在下面,都可以拖动调整。算法与系统内使用的一致:节省的工时按工作单元折算,AI 成本按每节省一小时的单价计算。Both assumptions are written out below, and either can be dragged. The calculation is the same as in the product: saved hours derived from work units, AI cost per saved hour.
token 费用单独计算,不并入订阅费。系统按模型与业务线记录调用量、支出、折算的工时,以及每节省一小时的成本。可按月设定上限。Token spend is billed separately, not folded into the subscription. Calls, cost, the hours they convert to and the cost per saved hour are all tracked by model and by lane. You can set a monthly ceiling.
这个顺序有其道理。先将主数据与权限整理干净,再配置流程,然后两套系统并行运行一段时间,确认账目一致,最后才让 AI 开始生成提案。次序颠倒会出问题。The order matters. Clean master data and access first, then the process, then a parallel run until the books tie out, and only then let AI start proposing. Reversing that order causes problems.
请带一票真实数据,30 分钟从建单推进到结算。AI 在流程中提出了什么、消耗多少成本,我们一并查看。Bring one real job. Thirty minutes from entry to settlement, and we review together what the AI proposed along the way and what it cost.