> For the complete documentation index, see [llms.txt](https://docs.aisera.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aisera.com/ai-ops/change-risk-advisory.md). # Change Risk Advisory Aisera AIOps provides robust change risk advisory capabilities that are crucial for IT operations. One of the platform's standout features is its ability to offer advanced risk assessment for proposed changes. By leveraging historical data from major incidents alongside change data and metadata, Aisera AIOps can accurately predict the potential impacts of both standard and non-standard changes within the IT environment. This predictive capability is invaluable for IT teams, as it allows them to foresee and mitigate potential disruptions before they occur. The platform’s sophisticated analysis of historical incidents and change data empowers IT teams to make well-informed decisions regarding proposed changes. By understanding the risk associated with each change, teams can plan and execute changes more strategically, minimizing the likelihood of unforeseen outages or service disruptions. This proactive approach not only ensures smoother implementations but also enhances the overall stability and reliability of IT services. Aisera AIOps thus plays a critical role in maintaining operational continuity and efficiency. Furthermore, Aisera AIOps' change risk advisory functionality aids in optimizing the change management process. By providing detailed insights into the risks associated with specific changes, the platform helps IT teams prioritize changes based on their potential impact. This prioritization is essential for effective resource allocation and risk mitigation. IT teams can focus their efforts on high-risk changes that require more attention and careful planning, thereby reducing the risk of critical incidents and improving the overall success rate of change implementations. In summary, Aisera AIOps' advanced risk assessment capabilities for change management significantly enhance the decision-making process for IT teams. By predicting the potential impacts of proposed changes through the analysis of historical incident data and change metadata, the platform ensures that changes are executed smoothly and efficiently. This not only prevents disruptions but also fosters a more stable and reliable IT environment, ultimately contributing to the success and resilience of the organization’s IT operations. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.aisera.com/ai-ops/change-risk-advisory.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.