# Use Cases - [Pipeline automation](https://docs.sre.ai/use-cases/pipeline-automation.md): Learn how SRE.ai can be used to facilitate pipeline automation - [Environment management](https://docs.sre.ai/use-cases/environment-management.md): Learn how SRE.ai can be used to facilitate environment management - [QA](https://docs.sre.ai/use-cases/qa.md): Learn how SRE.ai can be used to facilitate QA - [Ticket to deploy](https://docs.sre.ai/use-cases/ticket-to-deploy.md): Learn how SRE.ai's agent chain delivers a Salesforce work item from ticket to deployed change - [Code review and remediation](https://docs.sre.ai/use-cases/code-review-and-remediation.md): Learn how SRE.ai surfaces code and metadata quality issues and supports fixing them before they become technical debt - [AI delivery standard](https://docs.sre.ai/use-cases/ai-delivery-standard.md): Learn how SRE.ai supports a governed, repeatable approach to AI-assisted Salesforce delivery --- # Agent Instructions: 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: ``` GET https://docs.sre.ai/use-cases.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.