---
sourceDocument: Australia Asset Management
sourceDocumentLink: https://www.servicenow.com/docs/r/australia/it-asset-management

 Release :

    - australia

ft:locale :

    - en-US

ft:publication_title :

    - Australia Asset Management

ft:clusterId :

    - itam

bundleId :

    - itam

workflow :

    - Technology


---

# Components installed with AI Cost Management

# Components installed with AI Cost Management {#ariaid-title1}

Release version: Australia  
Updated September 29, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read  
Several types of components are installed with activation of the sn_itam_aicm plugin, including user roles, scheduled jobs, and tables.

## Roles installed {#installed-with-ai-cost-management__section_yk1_hkd_xjc}

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| Role title \[name\] | Description | Contains roles |
|-|-|-|
| AI cost administrator \[ai_cost_admin\] | This role has full access to the AI Cost Management application. This role is required for all administrative functions, such as setting up integrations with AI SaaS providers. | none |
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{#installed-with-ai-cost-management__table_zk1_hkd_xjc}

## Scheduled jobs installed {#installed-with-ai-cost-management__section_thg_l2y_skc}

{#installed-with-ai-cost-management__table_uhg_l2y_skc__entry__2}

| Scheduled job | Description |
|-|-|
| AICM - Alert Evaluation | Runs at 10:00 UTC daily to evaluate spend against set thresholds on spend limits. Creates alerts when thresholds are exceeded. |
| AICM - Anthropic Spend Limits Pull | Runs at 00:00 UTC daily to pull user spend limits from Anthropic. |
| AICM - Anthropic Usage Pull | Runs at 2:00 UTC daily to pull usage data from Anthropic. |
| AICM - Daily Licensing Counts | Runs at 12:00 UTC daily to publish the AI Cost Management license counts to the Licensing Resource Counts \[itam_licensing_resource_counts\] table |
| AICM - Dimensional Roll Up | Runs at 6:00 UTC daily to roll up entity-level spend to higher level entities. |
| AICM - Microsoft Copilot Usage Pull | Runs at 2:30 daily to pull usage data from Copilot. |
| AICM - Normalize Discovered AI Models | Runs at 13:00 UTC daily. Normalizes Anthropic model names to model names in ServiceNow. |
| AICM - Normalize Discovered Products | Runs at 14:00 UTC daily. Normalizes consumption product names to product names in ServiceNow. |
| AICM - Normalize Discovered Users | Runs at 12:00 UTC daily. Normalizes user names from AI accounts to users in ServiceNow, by user ID, email, and then name. |
| AICM - Spend Limit Snapshot | Runs at 5:00 UTC monthly. Reads the Alert Configuration \[alert_config\] table and saves that as a monthly snapshot to the Spend Limit Snapshot table. |
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{#installed-with-ai-cost-management__table_uhg_l2y_skc}

## Tables installed {#installed-with-ai-cost-management__section_vhg_l2y_skc}

{#installed-with-ai-cost-management__table_whg_l2y_skc__entry__2}

| Table | Description |
|-|-|
| AI model \[aicm_ai_model\] | AI models whose usage is tracked. |
| Consumer AI usage aggregate \[aicm_ai_usage_aggregatel\] | Aggregation of all AI spend |
| Consumer AI usage \[aicm_ai_usage_daily\] | Daily user consumption |
| Alert \[aicm_alert\] | Generated alert information |
| Alert configuration \[aicm_alert_config\] | Alert configuration information for the current month. A snapshot is taken each month and stored in the Spend Limit Snapshot table \[aicm_spend_limit_snapshot\] to preserve history. |
| Alert dismissal \[aicm_alert_dismissal\] | Populated when a user dismisses an alert from the UI. |
| Custom AI model \[aicm_custom_ai_model\] | Custom AI models whose usage is tracked. |
| Discovered AI model \[aicm_discovered_ai_model\] | AI model discovered during data ingestion. |
| Discovered AI product \[aicm_discovered_product\] | AI product discovered during data ingestion. |
| Discovered AI service \[aicm_discovered_product\] | AI service discovered during data ingestion. |
| AICM discovered user \[aicm_discovered_user\] | User discovered during data ingestion. |
| AICM integration \[aicm_integration_account\] | AI account information based on an integration. |
| Consumer AI usage by dimension grouping \[aicm_nd_ai_usage\] | Populated by the Dimensional Roll Up job. Holds data displayed in top-level Usage pages. |
| AI usage by user \[aicm_user_ai_usage\] | AI usage information for a given user. |
| Spend limit snapshot \[aicm_spend_limit_snapshot\] | Stores monthly spend limit snapshots. |
| Subscription \[aicm_subscription\] | Subscription information per user. |
| Subscription aggregate \[aicm_subscription_aggregate\] | Monthly history of subscription. |
| Subscription cost \[aicm_subscription_cost\] | Tenant-wide seat count for purchased, assigned, and available seats and monthly seat cost. |
| User spend limit \[aicm_user_spend_limit\] | User spend limit information. |
| AICM licensing cost breakdown aicm_licensing_cost_breakdown | Daily USD spend per account that makes up the published consumption license count. |
| AICM licensing user breakdown aicm_lcensing_user_breakdown | Distinct subscription users that make up the published subscription-users license count. |
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