ServiceNow Otto for Sales CRM for Telecommunications AI agent collection order fulfillment AI agent

  • Release version: Australia
  • Updated March 12, 2026
  • 2 minutes to read
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    Summary of ServiceNow Otto for Sales CRM for Telecommunications AI Agent Order Fulfillment

    The Order Fulfillment AI Agent in ServiceNow Otto for Sales CRM for Telecommunications helps automate the creation of order tasks by leveraging historical data from similar orders. When historical data is unavailable, it uses a large language model (LLM) to generate the necessary tasks. This AI agent ensures that all required fulfillment tasks are identified and created for domain orders, streamlining the order fulfillment process.

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    Key Features

    • Historical Data Utilization: Retrieves tasks based on past similar orders to accurately decompose and fulfill current domain orders.
    • Fallback to Default Flows: If no specific Product offering or Category fulfillment tasks exist in decision tables, the agent employs default flows such as Service order trigger, Resource order trigger, and Product order trigger to create fulfillment tasks.
    • Integration with Decision Tables: Uses configurable decision tables to determine task fulfillment logic, enabling customization based on product offerings and categories.
    • Triggers and Automation: When a domain order lacks a defined fulfillment process, a place order task is generated, which upon assignment, activates the Order Fulfillment AI Agent for that order.
    • Coexistence with Group Action Framework (GAF): The AI agent supplements tasks generated by GAF, both contributing to comprehensive order task management.
    • Autonomous Operation: Activation requires ensuring the AI agent's trigger is set to active, allowing it to operate automatically.
    • Customizability: Customers can duplicate and modify the agent workflow to fit their specific business requirements.

    Practical Use and Access

    • Role Requirement: Access requires the snsomtgenai.salesandorderfulfillmentaiagent role.
    • Accessing the AI Agent: Navigate to All > AI Agent Studio > Create and manage, then select the Order Fulfillment AI Agent.
    • Testing: Use the AI Agent Studio Testing feature by navigating to All > AI Agent Studio > Testing and selecting Test use cases to validate agent behavior before production deployment.
    • Activation: In the agent’s Edit trigger form, ensure the Active toggle is enabled to allow autonomous triggering of the agent.

    Why It Matters

    By automating the identification and creation of order fulfillment tasks based on historical data and configurable rules, this AI agent reduces manual effort, accelerates order processing, and improves accuracy. It enables telecommunications organizations using ServiceNow Otto for Sales CRM to efficiently manage complex domain orders and streamline their sales-to-fulfillment workflows.

    Use the order fulfillment AI agent to identify the tasks required for domain orders by using historical data from similar orders.

    Order fulfillment AI agent overview

    The order fulfillment AI agent uses historic order tasks to create the order tasks. If the historic data doesn't return any results, then a large language model (LLM) is used to get the response. After decomposition, the order fulfillment AI agent creates order tasks by checking historical and applicable tasks.

    Based on the domain order, this agent retrieves a list of tasks that must be fulfilled. For each such domain order, the agent uses historical data from similar orders to find all such tasks.

    If the Product offering or Category fulfillment tasks defined in the decision table aren’t available, the system uses default flows to create fulfillment tasks. These default flows include the Service order trigger fulfillment AI agent, resource order trigger fulfillment AI agent, and Product order trigger fulfillment AI agent. They create fulfillment tasks for an order line item during the fulfillment process. For more information on configuring decision tables, see Decision tables.

    When a domain order is created, if a fulfillment process isn’t defined for that domain order specification category, a place order task is created. When this task is assigned to an agent, it triggers the order fulfillment AI agent for this domain order.

    To modify the order fulfillment AI agent, Duplicate an agentic workflow, and adjust the settings according to your requirements.

    The order fulfillment AI agent adds tasks apart from the generated tasks from Group Action Framework (GAF). To activate the GAF, see Activate Group Action Framework for ServiceNow Otto for Sales CRM for Telecommunications. The GAF and AI search are both used for order tasks.

    Role required: sn_somt_gen_ai.sales_and _order_fulfillment_ai_agent

    Important:
    In the Edit trigger form, make sure that the Active button is turned on to enable the AI agent to trigger autonomously.

    Order Fulfillment AI agent

    To access the AI agent:
    1. Navigate to All > AI Agent Studio > Create and manage.
    2. Select Order Fulfillment AI agent.
    Important:
    In the Edit trigger form, make sure that the Active button is turned on to enable the AI agent to trigger autonomously.

    Testing the AI agent

    To access the use case testing page:
    • Navigate to All > AI Agent Studio > Testing.
    • On the Overview page, select Test use cases.