--- sourceDocument: Australia Enable AI sourceDocumentLink: https://www.servicenow.com/docs/r/australia/intelligent-experiences Release : - australia ft:locale : - en-US ft:publication_title : - Australia Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # Data Discovery policy and job manager AI agent # Data Discovery policy and job manager AI agent {#ariaid-title1} Release version: Australia Updated August 14, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read Summarize ![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete. ## Summary of Data Discovery policy and job manager AI agent The Data Discovery policy and job manager AI agent in ServiceNow Vault automates the validation and creation of data discovery scanning policies and jobs based on a list of tables. It streamlines the process of checking table support for data discovery scans, generating policies, and scheduling discovery jobs efficiently. This agent is designed to help ServiceNow customers easily manage data discovery workflows while ensuring compliance with data governance requirements. Show full answer Show less ## Workflow * Input a list of table names for validation of discovery scan support. * Separate tables into supported and unsupported groups, allowing users to modify the list interactively. * Generate a policy name and create a policy using the supported tables and selected data patterns. * Collect discovery job parameters including scan type, trigger frequency, and timing details. * Confirm job details with the user, submit the job to the scheduler, and provide the job name and ID. ## Key Configuration Settings * **Allow third party to access this AI agent:** Enables third-party AI agents to use this agent (default is off). * **Allow AI specialists to access this AI agent:** Grants AI specialists access with additional configuration options (default is off). * **Manage long-term memory:** When enabled, previous user interactions are used as context for the language model (default is off). ## Access and Security * User roles controlling access: `sndatadiscovery.datadiscoveryadmin` for both AI agent access and data access permissions. ## Integration and Extensibility * Supports configuration as an assistant for Virtual Agent or ServiceNow Otto panel via Assistant Designer. * Can be integrated into agentic workflows such as the data discovery job scheduler workflow. * Optional triggers can be defined by administrators for customized automation. ## Practical Benefits for ServiceNow Customers This AI agent simplifies and automates the setup of data discovery policies and job scheduling, reducing manual effort and improving accuracy in data governance processes. Customers can efficiently validate tables for discovery scans, create consistent policies, and schedule jobs with clear visibility into job details. The configurable access controls and integration options provide flexibility to align with organizational roles and workflows. This ServiceNow Vault agent checks whether a given list of tables supports data discovery scanning. The agent then creates data discovery job policies using these tables, and creates discovery job policies and schedules and data discovery jobs using the created policy. ## Workflow {#vault-data-discovery-policy-and-job-manager-agent-ai-agent__zsmdlwierhjt} 1. Take a list of table names, validate each one for discovery scan support using the validation tool, and separate them into supported and unsupported groups. 2. Show the results and let the user add, remove, or replace tables. Re-validate after each edit until the user confirms the final list. 3. Generate a policy name and create the policy using the supported tables and selected data patterns. 4. Gather the required inputs for a discovery job: scan type, trigger frequency, and the corresponding date/time parameters for the chosen frequency. 5. Confirm the collected details with the user, submit to the job scheduler tool, and display the created job's name and ID. {#vault-data-discovery-policy-and-job-manager-agent-ai-agent__ol_bjn_4sw_zjc} {#vault-data-discovery-policy-and-job-manager-agent-ai-agent__zsmdlwierhjt__entry__2} | Field | Description | |-|-| | Allow third party to access this AI agent | When enabled, third-party AI agents can use this agent. This value is off (false) by default. This setting is defined in the AI Agent configs \[sn_aia_agent_config\] table on the External discoverable field. | | Allow AI specialists to access this AI agent | When enabled, AI specialists can use this agent. This value is off (false) by default. When set to true, more configuration options for tools become available so that an AI specialist can map inputs and response templates to tool outputs. This setting is defined in the AI Agent configs \[sn_aia_agent_config\] table on the Specialist enabled field. | | Manage long-term memory | When enabled, all previous user interactions are used as context for the LLM. This value is off (false) by default. This setting is defined by the sn_aia.ltm.enable_long_term_memory system property. For more information, see [ServiceNow Otto AI agents reference](https://www.servicenow.com/docs/MUqSU8rHp3ao~q3QEWgHkA "Find more information about user roles, tables, and the different properties that are installed in ServiceNow Otto AI agents."). | | Tools | Scripts : Check AI shared services usage entitlement : Create Data Discovery policy : Discovery Job scheduler tool : Get available Discovery Data patterns : Validate input table Discovery scan support | | Allowed user roles The specific user roles that can access this AI agent. | sn_data_discovery.data_discovery_admin | | Data access roles The specific user identity roles that determine which data the AI agent can access and what actions it can take. | sn_data_discovery.data_discovery_admin | | Triggers | Optional. None defined by default. An admin can specify triggers if desired. For more information, see [Add a trigger to an AI agent](https://www.servicenow.com/docs/NXqRJBQV_Vw00FEzklcAJw "In the guided setup for an AI agent, add triggers to run the AI agent automatically when certain conditions are met."). | | Channels | Configure an assistant for Virtual Agent or ServiceNow Otto panel using [Assistant Designer](https://www.servicenow.com/docs/access?context=configure-now-assist-va&version=australia&pubname=australia-conversational-interfaces&ft:locale=en-US). | | Used in agentic workflows | Data discovery job scheduler workflow | [Table 1. Configuration] Learn more about ServiceNow Vault at [ServiceNow Vault](https://www.servicenow.com/docs/access?context=servicenow-vault-landing&version=australia&pubname=australia-platform-security&ft:locale=en-US).