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sourceDocument: Australia Enable AI
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/pt-BR/intelligent-experiences

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    - australia

ft:locale :

    - pt-BR

ft:publication_title :

    - Australia Enable AI

ft:clusterId :

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bundleId :

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workflow :

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---

# Target tables for Microsoft

# Target tables for Microsoft {#ariaid-title1}

* Versão de lançamento: Australia
* 
* Atualizado 12 de mar. de 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 min. de leitura

Target tables for storing Service Graph Connector for Azure and copilot data.

Both Azure Foundry and Copilot data sources use the following main target tables:

## Digital Asset Tables {#target-tables__section_z2w_jw5_l3c}

* alm_ai_system_digital_asset- AI System digital assets
* alm_ai_prompt_digital_asset- AI Prompt digital assets
{#target-tables__ul_nxq_lw5_l3c}

## Entity Tables {#target-tables__section_gmx_nw5_l3c}

* sn_ent_ai_tool- AI Tools
* sn_ent_ai_system_subcomponent_m2m- AI System Subcomponent many-to-many relationships
{#target-tables__ul_ydq_4w5_l3c}

## Usage Table {#target-tables__section_h2f_rw5_l3c}

sn_ai_disc_ai_usage- AI Usage/Execution data.

## Additional information {#target-tables__section_bv4_sw5_l3c}

* Staging tables are import set tables where data is initially loaded from external sources.
* Target tables are the destination where transformed data is stored.
* Data flows from Data Source → Staging Table → Transform Map → Target Table
* For the tools attached to AI Agents which are discovered, the tool names are suffixed to ensure uniqueness. This is the format for tool name- tool-name:tenantid:resource-name:project-name.
{#target-tables__ul_p3n_tw5_l3c}