IT Operations is facing many challenges, such as rapid IT scale expansion, increasingly complex system architecture, and growing demand for autonomy. By using 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. In order to promote the standardization of AIOps, this paper 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, this paper proposes an AIOps capability standard framework AIOps-OSA. The framework lists the critical points of organization, scenarios, and abilities from the perspective of building enterprise AIOps capabilities. A guiding AIOps standard for enterprises can be formed by applying detailed requirements to AIOps-OSA.