The operation of IT systems faces many challenges of rapid IT scale expansion, increasingly complex system architecture, and growing demand for autonomy. By employing big data and machine learning technologies to analyze massive operation data, artificial intelligence for IT operations (AIOps) can assist IT operators in operating and maintaining IT systems more efficiently. However, enterprises often encounter various difficulties when practicing AIOps. Thus standards of AIOps are required to guide enterprises in building AIOps capability. To promote the standardization of AIOps, this study surveys the AIOps-in-practice enterprises in various industries to analyze the practice status of AIOps. Existing standards on operation, artificial intelligence, and AIOps are studied to figure out the current progress of AIOps standardization. According to the conclusions above, the study proposes an AIOps capability standard framework AIOps-OSA. The framework lists the critical points of organization, scenarios, and abilities from the perspective of building AIOps capabilities of enterprises. During actual standard preparation, aguiding AIOps standard for enterprises can be formed by applying detailed requirements to AIOps-OSA.