Advanced Approval Management AI

  • Release version: Australia
  • Updated August 7, 2026
  • 3 minutes to read
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    Summary of Advanced Approval Management AI

    The ServiceNow® Advanced Approval Management AI application enables sales quote approval management through natural language requests within Model Context Protocol (MCP)-compatible clients, such as Claude. This allows approval users, including requesters (sales reps) and approvers, to access quote and approval information, submit quotes for approval, and perform related approval activities without needing to open a ServiceNow instance or navigate complex menus.

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    The application connects MCP clients to the Sales CRM server, which interfaces with the ServiceNow instance to retrieve and process quote and approval data. Users interact via chat prompts to perform approval-related tasks efficiently.

    Key Features

    • Natural Language Interaction: Users submit queries and commands in plain language to manage approvals.
    • Quote Details Retrieval: Requesters and approvers can get comprehensive quote information, including header and line items.
    • Approval Preview: Requesters can view approval routing, rules, and approvers before submitting quotes.
    • Approval Submission: Requesters can submit quotes for approval directly through the chat interface.
    • Approval History Access: Both requesters and approvers can review complete approval cycle histories, including actions and statuses.
    • Pending Approvals List: Approvers can retrieve and manage their pending approval requests.
    • Approval Actions: Approvers can approve or reject requests within the MCP client, providing rejection comments when necessary.

    User Roles

    • Requester (Sales Rep): Submits quotes for approval, tracks status, and accesses quote/approval details.
    • Approver: Reviews and acts on approval requests, tracks approval status, and accesses quote and approval history.
    • Admin: Installs plugins and assigns MCP server roles needed for requesters and approvers to use the system.

    Typical Workflow

    • Admin installs necessary plugins and assigns roles.
    • Requesters and approvers connect their MCP-compatible clients to the Sales CRM server.
    • Requesters query quote details and preview approval requirements before submission.
    • Requesters submit quotes for approval.
    • Approvers retrieve their pending approval requests, review quote details and history, then approve or reject with comments as needed.

    Benefits

    Advanced Approval Management AI streamlines the approval process by enabling users to manage quote approvals conversationally within MCP clients. This reduces the need to navigate multiple forms or switch between different tools, improving efficiency and user experience during the sales cycle.

    The ServiceNow® Advanced Approval Management AI application brings quote approval capabilities to Model Context Protocol (MCP)-compatible clients. Advanced approval users can manage quote approvals using natural language requests in an MCP client, without opening a ServiceNow instance.

    Advanced Approval Management AI overview

    Advanced Approval Management AI provides MCP tools that enable approval users to engage in approval activities using the chat feature of an MCP client such as Claude. The MCP tools retrieve quote and approval information from the Sales CRM server, which connects the MCP client to a ServiceNow instance.

    Approval requesters and approvers enter prompts and queries in the chat interface of the MCP client, without navigating through application menus and forms in the ServiceNow instance. For example requesters or approvers can ask for the approval history for a quote or get quote details. The MCP client runs the appropriate Advanced Approval Management AI MCP tool functionality, then returns the result.

    Your requesters (sales reps) and approvers can do the following advanced approval tasks by entering natural language prompts in the MCP client interface.
    Table 1. What approval users can do with Advanced Approval Management AI
    Approval activity User role Example query or prompt
    Get quote details, such as header and line items Requester or approver
    • Get me info on QT0001035
    • I need header details on QT0001035
    Preview the approvals required for a quote, such as the approval rules and approvers Requester
    • Who are the approvers for QT0001035?
    • What is the business rule for QT0001035?
    Submit quote for approval Requester Submit QT0001035 for approval
    Retrieve the complete approval cycle history for a quote (including every approval request, step, approval actions, any recalls or rejections) Requester or approver
    • What is the history for QT0001035?
    • What is happening with QT0001035?
    • Who approved QT0001035?
    Retrieve all pending approval requests Approver What requests do I need to approve?
    Executes approve or reject actions on pending approval steps Approver Approve this step

    Advanced Approval Management AI users

    Table 2. Users
    User Description
    Requester (sales rep) Submits sales quotes for approval and tracks the status of approval requests as they move through the approval workflow. Accesses quote details and approval history to track approval request status.
    Approver Reviews and approves or rejects requests for quote approval. Accesses quote details and approval history to track approval request status.
    Admin Installs the required plugins and assigns the MCP server roles to requesters and approvers.

    Advanced Approval Management AI workflow

    Requesters and approvers manage the quote approval process by entering a series of queries or prompts in the chat interface of an MCP client. For example, approval activities can include getting quote information or performing a task, such as submitting a quote for approval. The client returns requested information and performs requested actions, then provides a summary of information requested or confirmation that the task was completed.

    The following describes a typical end-to-end workflow.

    1. The sys admin installs the required plugins and assigns the MCP-related roles to advanced approval users.
    2. Requesters and approvers connect their MCP-compatible client to the Sales CRM Server.
    3. The requester asks for quote details to review the current state of a quote.
    4. The requester requests an approval preview of the quote to see the approval routing, approval rules, and approvers, before submitting a quote.
    5. The requester submits the quote for approval.
    6. The approver asks for a list of their pending approvals list to identify and prioritize quote approval requests that require action.
    7. The approver retrieves the quote header and line details and optionally reviews the approval history for the quote.
    8. The approver approves or rejects the request. If the quote is rejected, the approver must supply a comment that explains the reason for rejection.

    Advanced Approval Management AI benefits

    With Advanced Approval Management AI, your approval users can perform approval tasks with improved efficiency by using the conversational interface of an MCP client, instead of navigating between multiple options and forms to complete tasks or switch between tools during the sales cycle.