AI Service Graph Connector for Salesforce
The AI Service Graph Connector for Salesforce enables you to discover and import AI assets from your Salesforce environment into ServiceNow AI Control Tower.
The connector integrates with your Salesforce account to catalog AI systems, agents, models, and prompts. Usage data is automatically collected and populated into the AI Control Tower value dashboard, providing comprehensive visibility and governance of your AI operations.
Download apps from the Store
Visit the ServiceNow store website to download the AI Service Graph Connector for Salesforce application.
Supported ServiceNow versions
This connector is supported on the following ServiceNow releases:
| Release | Status |
|---|---|
| Australia | Supported |
| Zurich | Supported |
| Yokohama patch 11 | Supported |
User Roles
You must have one of the following roles assigned.
| Required Roles |
|---|
| sn_ai_disc.discovery_admin |
| sn_cmdb_int_util.sgc_admin |
ServiceNow Prerequisites
Complete the following setup steps once when configuring the connector for the first time.
The connector requires write permissions to the Data Source table to create data sources.
- Select Global from the application picker
- Navigate to Application Access
- Select the Can create, Can update, and Can delete checkboxes.
- Select Update
- Switch to the connector application scope
Clear the cached data for the Data Source and Tables.
- Navigate to System Definition > Background Scripts
- Paste the following script into the Run Script text box:
GlideTableManager.invalidateTable('sys_data_source'); GlideCacheManager.flushTable('sys_data_source'); GlideTableManager.invalidateTable('sys_db_object'); GlideCacheManager.flushTable('sys_db_object'); - Select Run Script.Note:The script may take several minutes to complete.
- After completion, switch to the connector application scope
Data Mapping
AI Agents: alm_ai_system_digital_asset -> Model table (cmdb_ai_system_component_product_model)
| Required Fields | ServiceNow (Target) | Salesforce (Staging) |
| Model ID | Model | model_id |
| Agent ID | Product instance identifier | agent_id |
| Version | External record reference | version_id |
| Status | State (install_status) | u_status |
| Quantity | Quantity | quantity |
| Vendor | Vendor | u_vendor |
| Company | Company | cleansed_manufacturer_ref |
| Source System | Source System | vendor |
| Asset Type | Model Category | asset_type |
AI Models: alm_ai_model_digital_asset -> Model table (cmdb_ai_model_product_model)
| Required Fields | ServiceNow (Target) | Salesforce (Staging) |
| Asset Type | Model category | asset_type |
| Foundation Model ID | Base model | foundation_model_identifier |
| Model | Model | base_model |
| Status | State (install_status) | u_status |
| External Reference ID | External record reference | id |
| Vendor | Vendor | cleansed_vendor_ref |
| Quantity | Quantity | quantity |
AI Tools: AI subcomponent reference table (sn_ent_ai_tool) -> sn_ent_ai_system_subcomponent_m2m-> AI system/Model table (alm_ai_system_digital_asset)
| Required Fields | ServiceNow (Target) | Salesforce (Staging) |
| Description | Description | description |
| Type | Type | type |
| Source Information | Source information | source |
| Name | Name | developername |
| Table Name | Target document table | tablename |
AI Prompts: alm_ai_prompt_digital_asset -> Model table (cmdb_ai_prompt_product_model)
| Required Fields | ServiceNow (Target) | Salesforce (Staging) |
| Model Name | Model | model |
| Description | Prompt information | description |
| Table Name | ServiceNow table | table_name |
| ID | External record reference | id |
AI Agents Usage: sn_ai_disc_ai_usage -> AI system/Model table (alm_ai_system_digital_asset)
| Required Fields | ServiceNow (Target) | Salesforce (Staging) |
| User | User | user |
| Time | Time | timestamp |
| Parent ID | Session ID | parentid |
| Total Invocations | Count | totalinvocations |
| Conversion Definition ID | AI system | conversationdefinitionid |