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Release: Australia · Updated: 2026-06-08 · Official documentation · View source

AI Assets Inventory API

The AI Assets Inventory APIs provide programmatic access to AI assets managed under the AI Control Tower application.

The AI Assets Inventory endpoints enable:

Listing assets filtered by asset class with optional filtering, pagination, and sorting.
Retrieving detailed information about a specific asset including its related assets.
Querying governance data such as lifecycle phase, risk classification, and assessments (when the GRC AI Governance plugin is active).

The AI Assets Inventory API requires the sn_ai_governance.integration.rest role and the AI Governance [sn_ai_governance] plugin to access it. The GET /details endpoint requires the AI Control Tower Core [sn_grc_ai_gov] plugin to be active for Governance, Risk, and Compliance (GRC) lookups.

This API belongs to the sn_ai_governance namespace.

See AI asset inventory for more information about managing AI assets inventory in the AI Control Tower.

Parent Topic:REST API reference

AI Assets Inventory - GET /api/sn_ai_governance/assets/{asset_class}

Retrieves a paginated list of AI governance records of a given asset class, with optional filters, sorting, and pagination.

Use this endpoint to:

Browse all AI assets of a specific class.
Filter assets by governance status, risk level, department, vendor, provider, etc.
Page through inventories for reporting purposes.

URL format

Versioned URL: /api/sn_ai_governance/{api_version}/assets/{asset_class}

Default URL: /api/sn_ai_governance/assets/{asset_class}

Supported request parameters

Name	Description
api\_version	Optional. Version of the endpoint to access. For example, `v1` or `v2`. Only specify this value to use an endpoint version other than the latest. Data type: String
asset\_class	Required. Asset class table name. The value is matched against the Model Categories table, asset\_class \[cmdb\_model\_category.asset\_class\] field.Valid table values: - `alm_ai_system_digital_asset`: AI Systems \(skills, agents, use cases\) - `alm_ai_model_digital_asset`: AI Models - `alm_ai_prompt_digital_asset`: AI Prompts - `alm_ai_dataset_digital_asset`: AI Datasets Data type: String

Name	Description
risk\_classification	Filters results by the risk score of the AI asset. Supports comma-separated values.Valid values: - `1`: High risk - `2`: Medium risk - `3`: Low risk - `4`: Unacceptable risk - `5`: To be determined \(default for new records\) - 6: Critical Data type: String as an integer
lifecycle\_status	Filters results by life cycle status of the AI asset.Valid values: - `1`: In review - `2`: Approved - `3`: Rejected - `4`: Deployed - `5`: AI steward review - `6`: Approved for development - `7`: Ready for deployment - `8`: Approved for deployment - `9`: Canceled - `10`: Offboarded Data type: String
state	Filters results by the installation status of the AI asset. Values are instance-dependent. Refer to the install\_status field's choice list on the cmdb\_ci table in your instance to enumerate them. The platform default 'Installed' is typically value 1.Data type: String
asset\_type	Filter by model category name or sys\_id.Valid names: - AI System - AI Model - AI Prompt - AI Dataset - Generative AI - Agentic AI - Classic AI These values are the canonical names referenced by the app and are stable across instances unless renamed. Table: CMDB Model Category \[cmdb\_model\_category\] for name; AIGovernanceWsConstants.MODEL\_CATEGORIES for sys\_id. Data type: String
lifecycle\_phase	Filter by lifecycle phase name or sys_id.Valid name values: Assess New Build and test Build Pre-deploy Deploy Offboard Assess offboarding Pre-offboarding Note: Customer instances may add or rename these values. Refer to your instance's sn_ai_governance_lifecycle table. Table: AI Governance Lifecycle [sn_ai_governance_lifecycle] Data type: String
department	Filter by department name or sys\_id.Table: Department \[cmn\_department\] Data type: String
managed\_by	Filter by user\_name or sys\_id of the user managing the asset.Table: User \[sys\_user\] Data type: String
vendor	Filter by vendor company name or sys\_id.Table: Core Company \[core\_company\] Data type: String
provider	Filter by provider/manufacturer name or sys\_id \(matched against the product model's manufacturer\).Table: Core Company \[core\_company\] Data type: String
created\_from	Display date format of the calling user's session.Format: YYYY-MM-DD Data type: String
created\_to	Display date format of the calling user's session.Format: YYYY-MM-DD Data type: String
limit or sysparm\_limit	Number of records to return. If limit is missing, less than 1, or non-numeric, the configured default is used. If limit exceeds the configured maximum, it's silently capped to the maximum (no warning).Minimum: 1 Maximum: 500 Default: 100 Data type: Integer
offset or sysparm\_offset	Number of records to skip. If offset is missing or non-numeric, it's treated as 0; negative offsets are clamped to 0.Default: 0 Data type: Integer
sort\_by	Field to sort by.Valid values: - risk\_classification - lifecycle\_phase - lifecycle\_status - asset\_type - department - managed\_by - state - vendor - provider Data type: String Default: Filters by the sys\_created\_on table field \(table: \[sn\_ai\_governance\_asset\_governance\_details\]\), descending \(newest first\).
order\_by	Sort direction. Case-insensitive. Only applied when sort\_by is provided and valid.Valid values: - `asc`: Ascending order - `desc`: Descending order Default: `asc` Data type: String

Name	Description
None

Headers

The following request and response headers apply to this HTTP action only, or apply to this action in a distinct way. For a list of general headers used in the REST API, see Supported REST API headers.

Header	Description
Accept	Data format of the response body. Supported types: application/json or application/xml. Default: application/json

Header	Description
None

Status codes

The following status codes apply to this HTTP action. For a list of possible status codes used in the REST API, see REST API HTTP response codes.

Status code	Description
200	Successful. The request was successfully processed.

Response body parameters (JSON or XML)

Name	Description
sys\_id	Sys ID of the governance record. Table: sn\_ai\_governance\_asset\_governance\_details
asset\_name	Display name of the underlying digital asset.Table/field: Asset \[asset\], display\_name
asset\_type	Name of the underlying asset's model category.Table/field: Asset Model Category \[asset.model\_category\], name
created\_on	Display value of the governance record's sys\_created\_on field.Table: sn\_ai\_governance\_asset\_governance\_details

Get All AI Systems

This example retrieves all AI systems in the given instance.

curl -X GET \ 
  'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_system_digital_asset' \ 
  -u 'username:password' \ 
  -H 'Accept: application/json'

Response body.

{
  "result": [
    {
      "sys_id": "a1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6",
      "asset_name": "Customer Service Virtual Agent",
      "asset_type": "AI System",
      "created_on": "2025-06-18 12:00:00"
    },
    {
      "sys_id": "b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7",
      "asset_name": "HR Benefits Chatbot",
      "asset_type": "Agentic AI",
      "created_on": "2025-06-04 08:30:00"
    },
    {
      "sys_id": "c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8",
      "asset_name": "IT Incident Classifier",
      "asset_type": "Classic AI",
      "created_on": "2025-05-21 15:45:00"
    },
    {
      "sys_id": "d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9",
      "asset_name": "Fraud Detection System",
      "asset_type": "AI System",
      "created_on": "2025-05-07 10:00:00"
    },
    {
      "sys_id": "e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0",
      "asset_name": "Document Summarization Agent",
      "asset_type": "Generative AI",
      "created_on": "2025-04-23 17:20:00"
    }
  ]
}

Get High-Risk AI Systems in Production

This example retrieves all AI Systems with a high-risk classification in the instance.

curl -X GET \ 'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_system_digital_asset?risk_classification=1&state=1' \ 
  -u 'username:password' \ 
  -H 'Accept: application/json'

Response body.

{
  "result": [
    {
      "sys_id": "f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1",
      "asset_name": "Fraud Detection System",
      "asset_type": "AI System",
      "created_on": "2025-05-07 10:00:00"
    },
    {
      "sys_id": "a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2",
      "asset_name": "Credit Risk Scoring Engine",
      "asset_type": "Classic AI",
      "created_on": "2025-04-07 14:30:00"
    }
  ]
}

Get AI Models with Pagination

The following example retrieves a paginated list of AI Model digital assets of max 50 records starting at the first record.

curl -X GET \ 
  'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_model_digital_asset?limit=50&offset=0' \ 
  -u 'username:password' \ 
  -H 'Accept: application/json'

Response body.

{
  "result": [
    {
      "sys_id": "1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d",
      "asset_name": "GPT-4o Fine-tuned – Legal Review",
      "asset_type": "AI Model",
      "created_on": "2025-01-31 16:00:00"
    },
    {
      "sys_id": "2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e",
      "asset_name": "BERT Sentiment Classifier v2",
      "asset_type": "AI Model",
      "created_on": "2025-01-30 12:00:00"
    },
    {
      "sys_id": "3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f",
      "asset_name": "Whisper Speech-to-Text",
      "asset_type": "AI Model",
      "created_on": "2025-01-29 08:00:00"
    }
  ]
}

Get AI Systems Created in a Date Range

This example retrieves all AI Systems created in Q1 2025 (January 1 – March 31) from the AI Governance inventory.

curl -X GET \ 
  'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_system_digital_asset?created_from=2025-01-01&created_to=2025-03-31' \  
  -u 'username:password' \ 
  -H 'Accept: application/json'

Response body.

{
  "result": [
    {
      "sys_id": "4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a",
      "asset_name": "Q1 2025 Sales Forecasting Agent",
      "asset_type": "Generative AI",
      "created_on": "2025-03-28 09:00:00"
    },
    {
      "sys_id": "5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b",
      "asset_name": "Compliance Monitoring System",
      "asset_type": "AI System",
      "created_on": "2025-02-27 11:30:00"
    },
    {
      "sys_id": "6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b1c",
      "asset_name": "Employee Onboarding Assistant",
      "asset_type": "Agentic AI",
      "created_on": "2025-01-26 20:00:00"
    },
    {
      "sys_id": "7a8b9c0d1e2f3a4b5c6d7e8f9a0b1c2d",
      "asset_name": "IT Knowledge Base Search",
      "asset_type": "Classic AI",
      "created_on": "2025-01-01 04:00:00"
    }
  ]
}

Get AI Prompts by Department and Vendor

This example retrieves all AI Prompts from the Engineering department associated with the Acme vendor from the AI Governance inventory.

curl -X GET \ 
  'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_prompt_digital_asset?department=Engineering&vendor=Acme' \ 
  -u 'username:password' \ 
  -H 'Accept: application/json'

Response body.

{
  "result": [
    {
      "sys_id": "8b9c0d1e2f3a4b5c6d7e8f9a0b1c2d3e",
      "asset_name": "Code Review Prompt Template",
      "asset_type": "AI Prompt",
      "created_on": "2025-06-18 12:00:00"
    },
    {
      "sys_id": "9c0d1e2f3a4b5c6d7e8f9a0b1c2d3e4f",
      "asset_name": "Bug Triage Summarization Prompt",
      "asset_type": "AI Prompt",
      "created_on": "2025-05-21 15:45:00"
    }
  ]
}

Get AI Systems Managed by a Specific User, Sorted by Department Descending

This example retrieves all AI Systems managed by Jane Smith from the AI Governance inventory, sorted by department in descending order.

curl -X GET \ 
  'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_system_digital_asset?managed_by=jane.smith&sort_by=department&order_by=desc' \ 
  -u 'username:password' \ 
  -H 'Accept: application/json'

Response body.

{
  "result": [
    {
      "sys_id": "0d1e2f3a4b5c6d7e8f9a0b1c2d3e4f5a",
      "asset_name": "Sales Lead Scoring Engine",
      "asset_type": "Classic AI",
      "created_on": "2025-05-07 10:00:00"
    },
    {
      "sys_id": "1e2f3a4b5c6d7e8f9a0b1c2d3e4f5a6b",
      "asset_name": "Customer Service Virtual Agent",
      "asset_type": "AI System",
      "created_on": "2025-06-18 12:00:00"
    },
    {
      "sys_id": "2f3a4b5c6d7e8f9a0b1c2d3e4f5a6b7c",
      "asset_name": "Code Generation Assistant",
      "asset_type": "Generative AI",
      "created_on": "2025-06-04 08:30:00"
    }
  ]
}

Filter AI Models by Provider

This example retrieves all AI Models provided by OpenAI from the AI Governance inventory.

curl -X GET \ 
  'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_model_digital_asset?provider=OpenAI' \ 
  -u 'username:password' \ 
  -H 'Accept: application/json'

Response body.

{
  "result": [
    {
      "sys_id": "3a4b5c6d7e8f9a0b1c2d3e4f5a6b7c8d",
      "asset_name": "GPT-4o Fine-tuned – Legal Review",
      "asset_type": "AI Model",
      "created_on": "2025-06-18 12:00:00"
    },
    {
      "sys_id": "4b5c6d7e8f9a0b1c2d3e4f5a6b7c8d9e",
      "asset_name": "GPT-4o Mini – Internal Q&A",
      "asset_type": "AI Model",
      "created_on": "2025-06-04 08:30:00"
    },
    {
      "sys_id": "5c6d7e8f9a0b1c2d3e4f5a6b7c8d9e0f",
      "asset_name": "text-embedding-3-large",
      "asset_type": "AI Model",
      "created_on": "2025-04-23 17:20:00"
    }
  ]
}

AI Assets Inventory - GET /api/sn_ai_governance/assets/{sys_id}/details

Retrieves comprehensive details about a specific AI governance record.

This endpoint retrieves the following record information for a single asset:

Basic asset information such as display name, asset class, asset type.
Life cycle phase and status, risk classification, state.
Related assets.
Governance, Risk, and Compliance (GRC) information (assessments, risks, issues, policy exceptions) when the sn_grc_ai_gov plugin is active.

URL format

Versioned URL: /api/sn_ai_governance/{api_version}/assets/{sys_id}/details

Default URL: /api/sn_ai_governance/assets/{sys_id}/details

Supported request parameters

Name

Description

api\_version

Optional. Version of the endpoint to access. For example, `v1` or `v2`. Only specify this value to use an endpoint version other than the latest. Data type: String

sys\_id

Sys_id of the governance record to retrieve.Table: AI Asset Governance Details [sn_ai_governance_asset_governance_details]

Note: This isn't the sys_id of the AI Dataset Digital Asset [alm_ai_dataset_digital_asset] table.

Data type: String

Name

Description

include\_risk\_info

Optional. Flag that indicates whether to perform GRC plugin lookups, such as ai\_assessments, risk\_assessments, regulatory\_risk\_assessments, bulk\_risk\_assessments, control\_assessments, issues, policy\_exceptions, and risks. Has no effect when the sn\_grc\_ai\_gov plugin is inactive.Valid values: - true: Enables the lookup. Missing values or any other value \('true', 'False', '0'\) enables the lookup. - false: \(case sensitive\) Skips the lookup operation. Default: true Data type: String

Name	Description
None

Headers

The following request and response headers apply to this HTTP action only, or apply to this action in a distinct way. For a list of general headers used in the REST API, see Supported REST API headers.

Header	Description
Accept	Data format of the response body. Supported types: application/json or application/xml. Default: application/json

Header	Description
None

Status codes

The following status codes apply to this HTTP action. For a list of possible status codes used in the REST API, see REST API HTTP response codes.

Status code	Description
200	Successful. The request was successfully processed.
400	Sys_id path parameter missing or empty. Provide a valid sys_id in the URL path.
401	Invalid or missing credentials. Check username/password or OAuth token.
403	Caller lacks the required role\(s\). Ensure the user holds the sn\_ai\_governance.integration.rest role.
404	Possible causes: asset_class doesn't match any Model Categories table, asset_class [cmdb_model_category.asset_class] value. Use one of the four documented asset_class values. No governance record exists for the given sys_id. Verify the sys_id is a row in the AI Asset Governance Details [sn_ai_governance_asset_governance_details] table.
500	Unhandled exception. For example, invalid date format. Check logs to verify date inputs use the calling user's session date format.

Response body parameters (JSON or XML)

The top-level response shape is the same for all asset classes. The related_assets object structure varies by asset class. See the Related Assets section for response parameters categorized by class.

Name	Description
ai\_assessments	GRC AI assessments associated with this asset. Empty array if the GRC plugin isn't active or include_risk_info is `false`.Data type: Array of Objects
asset\_class	Table name \(sys\_class\_name\) of the digital asset.Valid values: - `alm_ai_system_digital_asset`: AI Systems \(sub\_ai\_systems, tools, ai\_models, ai\_prompts, evaluation\_datasets, input\_outputs, configuration\_items, business\_applications\) - `alm_ai_model_digital_asset`: AI Models \(derived\_ai\_models, training\_datasets, evaluation\_datasets, ai\_systems, input\_outputs, model\_lineages, configuration\_items, business\_applications\) - `alm_ai_prompt_digital_asset`: AI Prompts \(ai systems\) - `alm_ai_dataset_digital_asset`: AI Datasets \(ai\_systems, ai\_models, parent\_datasets, child\_datasets\) Data type: String
asset\_type	Display value of the asset's model\_category.Data type: String
bulk\_risk\_assessments	GRC bulk risk assessments. Same conditions as ai_assessments.Data type: Array of Objects `"bulk_risk_assessments": [ { } ]`
control\_assessments	GRC controls.Data type: Array of Objects `"control_assessments": [ { } ]`
display\_name	Display name of the underlying digital asset.Data type: String
issues	GRC issues associated with this asset.Data type: Array of Objects `"issues": [ { } ]`
lifecycle\_phase	Life cycle phase of the asset.Data type: Object `"lifecycle_phase": { "sys_id": "String", "name": "String" }`
lifecycle\_phase.sys\_id	Sys\_id of the life cycle phase record.Table: AI Governance Lifecycle \[sn\_ai\_governance\_lifecycle\] Data type: String
lifecycle\_phase.name	Display value of the life cycle phase record.Data type: String
lifecycle\_status	Raw stored integer value of the status field on the governance record. This is the choice value, not the display label. Refer to the status field's choice list to enumerate values. Data type: String
policy\_exceptions	GRC policy exceptions.Data type: Array of Objects `"policy_exceptions": [ { } ]`
regulatory\_risk\_assessments	GRC regulatory risk classifications. Same conditions as ai\_assessments.Data type: Array of Objects `"regulatory_risk_assessments": [ { } ]`
related\_assets	Related-asset groupings; structure depends on asset\_class. returns different fields depending on the asset\_class of the requested governance record. See the Related Assets section for associated parameters organized by asset type.Data type: Object `"related_assets": [ { } ]`
risk\_assessments	GRC risk assessments. Same conditions as ai\_assessments.Data type: Array of Objects `"risk_assessments": [ { } ]`
risk\_classification	Display value of risk\_score on the governance record.Possible values: - `1`: High risk - `2`: Medium risk - `3`: Low risk - `4`: Unacceptable risk - `5`: To be determined \(default for new records\) - 6: Critical Data type: String
risks	GRC risks.Data type: Array of Objects `"risks": [ { } ]`
state	Install status on the linked digital asset. The serialized value reflects the raw integer (for example, 1), not the display label.Note: This differs from the state field inside related_assets items, which returns the display value. Data type: String

The related_assets object returns different fields depending on the asset_class of the requested governance record. Each table documents the fields returned for that asset class, along with the structure of each item in the returned array.

Note: For related assets that have a governance record,

sys_id is the governance record's sys_id (not the digital asset's sys_id),
name is the governance display value,
additional governance fields (risk_classification, lifecycle_status, lifecycle_phase, state) are included.

When no governance record exists, only the base fields are returned.

Name	Description
ai\_models	AI Models referenced from the system's ai\_models field.Data type: Object `ai_models: [ { "sys_id": "String", "name": "String", "asset_class": "String", "asset_type": "String", // Governance fields (when record exists): "risk_classification": "String", "lifecycle_status": "String", "lifecycle_phase": "String", "state": "String" } ]`
ai\_prompts	AI Prompts referenced from the system's ai\_prompts field.Data type: Object `ai_prompts: [ { "sys_id": "String", "name": "String", "asset_class": "String", "asset_type": "String", // Governance fields (when record exists): "risk_classification": "String", "lifecycle_status": "String", "lifecycle_phase": "String", "state": "String" } ]`
business\_applications	Business applications mapped to this asset's product model via the Product Model Map \[sn\_apm\_ws\_ba\_product\_model\_map\] table. Returned only if that table exists in the instance.Data type: Object `business_applications: [ { "sys_id": "String", "name": "String" } ]`
configuration\_items	CIs related to this digital asset via the Asset-CI Relationship \[cmdb\_rel\_asset\_ci\] table.Data type: Object `configuration_items: [ { "sys_id": "String", "name": "String" } ]`
evaluation\_datasets	AI datasets referenced from the system's evaluation\_datasets field.Data type: Object `evaluation_datasets: [ { "sys_id": "String", "name": "String", "asset_class": "String", "asset_type": "String", // Governance fields (when record exists): "risk_classification": "String", "lifecycle_status": "String", "lifecycle_phase": "String", "state": "String" } ]`
input\_outputs	Input/output specifications for this system.Table/field: AI Input Output \[sn\_ent\_ai\_input\_output\], Category \[io\_category\] Data type: Object `input_outputs: [ { "sys_id": "String", "name": "String", "description": "String", "io_type": "String", "information_object": "String" } ]`
sub\_ai\_systems	AI Systems registered as subcomponents of this system, sourced from the AI System Subcomponent Map \[sn\_ent\_ai\_system\_subcomponent\_m2m\] table where `ai_subcomponent_reference_table = alm_ai_system_digital_asset`; this indicates that the field name ai\_subcomponent\_reference\_table should be filled with the AI Asset tables.When a governance record exists for the related asset, the governance record's sys\_id, name, and governance fields are included. When no governance record exists, only the base fields are returned. Data type: Array of Objects `sub_ai_systems: [ { "sys_id": "String", "name": "String", "description": "String", "asset_class": "String", // Governance fields (when record exists): "risk_classification": "String", "lifecycle_status": "String", "lifecycle_phase": "String", "state": "String" } ]`
tools	Enterprise AI tools registered as subcomponents, sourced the AI System Subcomponent Map \[sn\_ent\_ai\_system\_subcomponent\_m2m\] table where `ai_subcomponent_reference_table = sn_ent_ai_tool`; this indicates that the field name ai\_subcomponent\_reference\_table should be filled with the tools tables.Data type: Array of Objects `tools: [ { "sys_id": "String", "name": "String", "description": "String", "asset_class": "String", // Governance fields (when record exists): "risk_classification": "String", "lifecycle_status": "String", "lifecycle_phase": "String", "state": "String" } ]`

Name	Description
derived\_ai\_models	AI Models whose base\_model points to this model.Table: AI Model Digital Asset \[alm\_ai\_model\_digital\_asset\] Data type: Array of Objects `derived_ai_models: [ { "sys_id": "String", "name": "String" } ]`
training\_datasets	Datasets referenced from this model's training\_datasets field.Table: AI Dataset Digital Asset \[alm\_ai\_dataset\_digital\_asset\] Data type: Array of Objects `training_datasets: [ { "sys_id": "String", "name": "String" } ]`
evaluation\_datasets	Datasets referenced from this model's evaluation\_datasets field.Table: AI Dataset Digital Asset \[alm\_ai\_dataset\_digital\_asset\] Data type: Array of Objects `evaluation_datasets: [ { "sys_id": "String", "name": "String" } ]`
ai\_systems	AI Systems whose ai\_models field contains this model.Table: AI System Digital Asset \[alm\_ai\_system\_digital\_asset\] Data type: Array of Objects `ai_systems: [ { "sys_id": "String", "name": "String" } ]`
input\_outputs	Input/output specifications.Table: AI Input Output \[sn\_ent\_ai\_input\_output\] table, Category \[io\_category\] field Data type: Array of Objects `input_outputs: [ { "sys_id": "String", "name": "String", "description": "String", "io_type": "String", "information_object": "String" } ]`
model\_lineages	Models of this type.Table: AI Model Lineage \[sn\_ent\_ai\_model\_lineage\], AI model digital asset \[ai\_model\] column Data type: Array of Objects `model_lineages: [ { "sys_id": "String", "dataset": "String", "activity": "String", "training_procedure": "String", "model_checkpoint_id": "String", "user_group": "String", "start_time": "String", "end_time": "String" } ]`
configuration\_items	CIs related to this digital asset.Table: Asset-CI Relationship \[cmdb\_rel\_asset\_ci\] Data type: Array of Objects `configuration_items: [ { "sys_id": "String", "name": "String" } ]`
business\_applications	Business applications mapped to this asset's product model, if the Product Model Map \[sn\_apm\_ws\_ba\_product\_model\_map\] table exists in the instance.Data type: Array of Objects `business_applications: [ { "sys_id": "String", "name": "String" } ]`

Name	Description
ai\_systems	AI Systems whose ai\_prompts field contains this prompt.Table: AI System Digital Asset \[alm\_ai\_system\_digital\_asset\] Data type: Array of Objects `ai_systems: [ { "sys_id": "String", "name": "String" } ]`

Name	Description
ai\_systems	AI Systems whose evaluation\_datasets field contains this dataset.Table: AI System Digital Asset \[alm\_ai\_system\_digital\_asset\] Data type: Array of Objects `ai_systems: [ { "sys_id": "String", "name": "String" } ]`
ai\_models	AI Models whose training\_datasets or evaluation\_datasets field contains this dataset.Table: AI Model Digital Asset \[alm\_ai\_model\_digital\_asset\] Data type: Array of Objects `ai_models: [ { "sys_id": "String", "name": "String" } ]`
parent\_datasets	Datasets referenced from this dataset's base\_datasets field.Table: AI Dataset Digital Asset \[alm\_ai\_dataset\_digital\_asset\] Data type: Array of Objects `parent_datasets: [ { "sys_id": "String", "name": "String" } ]`
child\_datasets	Datasets whose base\_datasets field contains this dataset.Table: AI Dataset Digital Asset \[alm\_ai\_dataset\_digital\_asset\] Data type: Array of Objects `child_datasets: [ { "sys_id": "String", "name": "String" } ]`

Get AI System details

Request to retrieve asset_class alm_ai_system_digital_asset details:

curl -X GET \
  'https://instance.service-now.com/api/sn_ai_governance/v1/assets/a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4/details' \
  -u 'username:password' \
  -H 'Accept: application/json'

Response body:

{
  "display_name": "Customer Service AI Assistant", 
  "asset_type": "Generative AI", 
  "asset_class": "alm_ai_system_digital_asset", 
  "lifecycle_status": "2", 
  "lifecycle_phase": { "sys_id": "lifecycle123", "name": "Production" }, 
  "state": "1", 
  "risk_classification": "medium", 
  "related_assets": { 
    "sub_ai_systems": [ 
      { 
        "sys_id": "govSub123", 
        "name": "FAQ Handler Sub-Agent", 
        "description": "Handles frequently asked questions", 
        "asset_class": "alm_ai_system_digital_asset", 
        "risk_classification": "low", 
        "lifecycle_status": "2", 
        "lifecycle_phase": "Production", 
        "state": "Active" 
      } 
    ], 
    "tools": [ 
      { 
        "sys_id": "tool123", 
        "name": "Knowledge Base Search", 
        "description": "Searches internal knowledge base", 
        "asset_class": "sn_ent_ai_tool" 
      } 
    ], 
    "ai_models": [ 
      { "sys_id": "govModel123", "name": "GPT-4", 
        "asset_class": "alm_ai_model_digital_asset", "asset_type": "Generative AI", 
        "risk_classification": "1", "lifecycle_status": "2", 
        "lifecycle_phase": "Production", "state": "Active" } 
    ], 
    "ai_prompts": [ 
      { "sys_id": "govPrompt123", "name": "Customer Service Greeting Prompt", 
        "asset_class": "alm_ai_prompt_digital_asset", "asset_type": "Prompt" } 
    ], 
    "evaluation_datasets": [ 
      { "sys_id": "govDataset123", "name": "CS Evaluation Dataset", 
        "asset_class": "alm_ai_dataset_digital_asset", "asset_type": "Dataset" } 
    ], 
    "input_outputs": [ 
      { "sys_id": "io123", "name": "Customer Query", 
        "description": "Natural language customer question", 
        "io_type": "Input", "information_object": "Text" }, 
      { "sys_id": "io456", "name": "AI Response", 
        "description": "AI-generated response to customer", 
        "io_type": "Output", "information_object": "Text" } 
    ], 
    "configuration_items": [ 
      { "sys_id": "ci123", "name": "CS AI Assistant CI" } 
    ], 
    "business_applications": [ 
      { "sys_id": "ba123", "name": "Customer Service Platform" } 
    ] 
  }, 
  "ai_assessments": [], 
  "risk_assessments": [], 
  "regulatory_risk_assessments": [], 
  "bulk_risk_assessments": [], 
  "control_assessments": [], 
  "issues": [], 
  "policy_exceptions": [], 
  "risks": [] 
}

Get AI Model details (skip GRC data)

Request to retrieve asset_class alm_ai_model_digital_asset details:

curl "https://instance.servicenow.com/api/sn_ent/asset/ai_system/3b140397435a9210a63d00002fb8f2d7" \
--request GET \
--header "Accept:application/json" \
--user "username":"password"

Response body:

{
  "display_name": "GPT-4 Turbo", 
  "asset_type": "AI Model", 
  "asset_class": "alm_ai_model_digital_asset", 
  "lifecycle_status": "2", 
  "lifecycle_phase": { "sys_id": "lifecycle456", "name": "Production" }, 
  "state": "1", 
  "risk_classification": "1", 
  "related_assets": { 
    "derived_ai_models": [ 
      { "sys_id": "derived123", "name": "GPT-4 Turbo Fine-tuned for CS" } 
    ], 
    "training_datasets": [ 
      { "sys_id": "train123", "name": "General Training Dataset" } 
    ], 
    "evaluation_datasets": [ 
      { "sys_id": "eval123", "name": "Model Evaluation Dataset" } 
    ], 
    "ai_systems": [ 
      { "sys_id": "sys123", "name": "Customer Service AI Assistant" } 
    ], 
    "input_outputs": [], 
    "model_lineages": [ 
      { 
        "sys_id": "lineage123", 
        "dataset": "Training Dataset v2.0", 
        "activity": "Fine-tuning", 
        "training_procedure": "Supervised Learning", 
        "model_checkpoint_id": "checkpoint_42", 
        "user_group": "AI Team", 
        "start_time": "2026-01-10 08:00:00", 
        "end_time": "2026-01-12 18:30:00" 
      } 
    ], 
    "configuration_items": [ 
      { "sys_id": "ciModel1", "name": "GPT-4 Turbo CI" } 
    ], 
    "business_applications": [ 
      { "sys_id": "baModel1", "name": "AI Platform" } 
    ] 
  }, 
  "ai_assessments": [], 
  "risk_assessments": [], 
  "regulatory_risk_assessments": [], 
  "bulk_risk_assessments": [], 
  "control_assessments": [], 
  "issues": [], 
  "policy_exceptions": [], 
  "risks": [] 
}

Get AI Prompt details

Request to retrieve asset_class alm_ai_prompt_digital_asset details:

curl -X GET \
  'https://instance.service-now.com/api/sn_ai_governance/v1/assets/e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2/details' \
  -u 'username:password' \
  -H 'Accept: application/json'

Respone body:

{ 
  "display_name": "Customer Greeting Prompt", 
  "asset_type": "AI Prompt", 
  "asset_class": "alm_ai_prompt_digital_asset", 
  "lifecycle_status": "2", 
  "lifecycle_phase": { "sys_id": "lifecycle789", "name": "Production" }, 
  "state": "Active", 
  "risk_classification": "low", 
  "related_assets": { 
    "ai_systems": [ 
      { "sys_id": "sys123", "name": "Customer Service AI Assistant" } 
    ] 
  }, 
  "ai_assessments": [], 
  "risk_assessments": [], 
  "regulatory_risk_assessments": [], 
  "bulk_risk_assessments": [], 
  "control_assessments": [], 
  "issues": [], 
  "policy_exceptions": [], 
  "risks": [] 
}

Get AI Dataset details

Request to retrieve asset_class alm_ai_dataset_digital_asset details:

curl -X GET \
  'https://instance.service-now.com/api/sn_ai_governance/v1/assets/d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1/details' \
  -u 'username:password' \
  -H 'Accept: application/json'

Response body:

{ 
  "display_name": "Customer Service Evaluation Dataset", 
  "asset_type": "AI Dataset", 
  "asset_class": "alm_ai_dataset_digital_asset", 
  "lifecycle_status": "2", 
  "lifecycle_phase": { "sys_id": "lifecycle321", "name": "Production" }, 
  "state": "Active", 
  "risk_classification": "low", 
  "related_assets": { 
    "ai_systems": [ 
      { "sys_id": "sys123", "name": "Customer Service AI Assistant" } 
    ], 
    "ai_models": [ 
      { "sys_id": "model123", "name": "GPT-4" } 
    ], 
    "parent_datasets": [ 
      { "sys_id": "parent123", "name": "Base CS Dataset" } 
    ], 
    "child_datasets": [ 
      { "sys_id": "child123", "name": "Extended CS Dataset v2" } 
    ] 
  }, 
  "ai_assessments": [], 
  "risk_assessments": [], 
  "regulatory_risk_assessments": [], 
  "bulk_risk_assessments": [], 
  "control_assessments": [], 
  "issues": [], 
  "policy_exceptions": [], 
  "risks": [] 
}

Quick Command Reference

List all AI systems:

curl -X GET 'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_system_digital_asset'
 -u 'user:password'

Get high-risk assets:

curl -X GET 'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_system_digital_asset?risk_classification=1'
 -u 'user:password'

Get asset details (skip GRC data):

curl -X GET 'https://instance.service-now.com/api/sn_ai_governance/v1/assets/{sys_id}/details'
 -u 'user:password'

Paginate results:

curl -X GET 'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_system_digital_asset?limit=100&offset=0'
 -u 'user:password'