Exploring ServiceNow AI Platform tables

  • Release version: Australia
  • Updated March 12, 2026
  • 2 minutes to read
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    Summary of Exploring ServiceNow AI Platform tables

    The ServiceNow AI Platform utilizes a table-based structure to manage data and processes such as Incident, Problem, and CMDB. It includes pre-built tables for common IT service management (ITSM) tasks, which can be easily imported or exported in various formats like CSV and XML.

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    Key Features

    • Table Administration: Administrators can create custom tables, define field properties, establish relationships between tables, and extend existing tables without altering the originals.
    • Access Controls: Administrators define access permissions to ensure that only authorized users can access specific records.
    • Data Management: Users can store records, delete unnecessary tables, and create table indices for efficient data retrieval.
    • Table Relationships: Relationships can be created between tables, enabling many-to-many connections and facilitating data reporting through database views.
    • Custom Tables: Allows for expanding the platform's capabilities by creating tailored applications to meet specific business needs.

    Key Outcomes

    By effectively utilizing the table administration features, ServiceNow customers can:

    • Define and manage complex data relationships across multiple tables.
    • Organize and streamline task-related data storage and retrieval.
    • Enhance their instance's functionality with custom applications.
    • Utilize visual references for better understanding of table structures and relationships.

    For further exploration, customers should look into managing tables and indexes, working with the Task table, and understanding database views for reporting purposes.

    Applications use tables and records to manage data and processes, such as Incident, Problem, and CMDB. Tables can extend other tables, creating parent tables and child tables.

    Table administration overview

    The ServiceNow AI Platform® uses a table-based data structure to store and organize information. Pre-built tables are included for common IT service management (ITSM) processes, with their data fully importable and exportable in CSV, XML, or other formats.

    Table administration users

    Table 1. Users
    User Description
    Administrator Admins can create custom tables for specific business requirements, define field properties, create relationships between tables, and extend existing tables without modifying the originals. Administrators also define access controls to allow only approved user access to records, business rules for various tasks, and table cleanup policies for unused and outdated records.

    Table administration workflow

    This infographic depicts how an administrator can extend both core tables and custom tables.

    Figure 1. Extending core tables and custom Tables
    Data can be exported and imported between Core Tables and Custom Tables. Admins define access controls to restrict access.
    1. An administrator views table relationships and learns how table extension works on the ServiceNow AI Platform®.
    2. The administrator creates a custom parent table and extends it by creating a custom child table.
    3. The administrator defines access controls to restrict access to each table.
    4. The administrator exports and imports data to core and custom tables as needed.

    Table administration benefits

    Benefit Feature Users
    Define models and entity relationships across multiple tables. Data dictionary tables Admin
    Access visual references for tables and their contents. Viewing table references and extensions Admin
    Store records for your instance. Create a table Admin
    Remove unneeded tables from your instance. Deleting custom tables Admin
    Quickly find data stored in a table. Create a table index Admin
    Connect a list to another list of multiple entries instead of a single field. Create a many-to-many table relationship Admin
    Organize and store task-related data. Working with the Task table Admin
    Connect tables for reporting purposes. Working with database views for reporting Admin