--- title: Advanced Approval Management AI release notes description: The ServiceNow Advanced Approval Management AI application enables advanced approval users to manage quote approvals using natural language requests in Model Context Protocol \(MCP\)-compatible clients, without opening a ServiceNow instance. Advanced Approval Management AI is a new application in the Australia release.The ServiceNow Advanced Approval Management AI application enables advanced approval users to manage quote approvals using natural language requests in Model Context Protocol \(MCP\)-compatible clients, without opening a ServiceNow instance. Advanced Approval Management AI is a new application in the Australia release. locale: en-US canonical_url: https://www.servicenow.com/docs/r/australia/release-notes/advanced-approval-management-ai-rn.html release: australia topic_type: topic last_updated: "2026-06-29" reading_time_minutes: 2 breadcrumb: [Sales Customer Relationship Management release notes, Features and changes by product, Release notes for upgrading from Zurich, Learn about the Australia release, Australia release notes] --- # Advanced Approval Management AI release notes The ServiceNow® Advanced Approval Management AI application enables advanced approval users to manage quote approvals using natural language requests in Model Context Protocol \(MCP\)-compatible clients, without opening a ServiceNow instance. Advanced Approval Management AI is a new application in the Australia release. ## About Advanced Approval Management AI - Enable approval requesters and approvers to access quote approval information and perform approval actions directly from MCP-compatible clients. - Use natural language in an MCP client to get details on quote approval status and perform tasks such as submitting approval requests or approving or rejecting approval requests. See [Advanced Approval Management AI](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/order-management/explore-advanced-approval-mgmt-ai.md) for more information. ## Activation and other requirements **Important:** Advanced Approval Management AI is available in the ServiceNow Store. For details, see the "Activation information" section of these release notes. - **Activation information** Install Advanced Approval Management AI by requesting it from the ServiceNow Store. Visit the [ServiceNow Store](https://store.servicenow.com/sn_appstore_store.do#!/store/home) to view all the available apps, and for information about submitting requests to the store. For cumulative release notes information for all released apps, see the [ServiceNow Store version history release notes](https://www.servicenow.com/docs/r/store-release-notes/sn-store-release-notes.html). **Parent Topic:**[Sales Customer Relationship Management release notes](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/release-notes/sales-order-management-rn-landing.md) ## Australia The ServiceNow® Advanced Approval Management AI application enables advanced approval users to manage quote approvals using natural language requests in Model Context Protocol \(MCP\)-compatible clients, without opening a ServiceNow instance. Advanced Approval Management AI is a new application in the Australia release. ### What's new - **Using MCP tools as a requester** As a requester, you can use the MCP client to: - Get quote details - Track approval status by viewing approval history for a quote - Preview approval routing for a quote - Add an ad-hoc approver - Submit a quote for approval - Recall an approval request for a quote - **Using MCP tools as an approver** As an approver, you can use the MCP client to: - Get quote details - Track approval status by viewing approval history for a quote - View pending approval requests - Add an ad-hoc approver - Approve or reject an approval request ### Plugin information - **New plugins** The following plugin is new in Australia: Advanced Approval Management AI \(com.sn\_adv\_apr\_mgmt\_ai\): MCP server tools for managing advanced approval requests by using natural language in the conversational interface of an MCP client.