{"revision":"c10276e953456835cdbb1f3a60d58ae1980be353","document":{"id":22931,"path":"intelligent-experiences/aict-installed-with.md","title":"Components installed with AI Control Tower","bundle":null,"doc_type":null,"release":"australia","body":"\n# Components installed with AI Control Tower\n\nSeveral types of components are installed with activation of AI Control Tower, including plugins, user roles, and tables.\n\n## Plugins installed\n\nActivation of AI Control Tower installs the following plugins. Additional plugins listed in [Additional plugins](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/intelligent-experiences/aict-installed-with.md) extend AI Control Tower with capabilities for discovery, security, dashboards, and reporting.\n\n|Plugin|Plugin ID|Description|\n|------|---------|-----------|\n|AI Control Tower Core|`com.sn_ai_governance`|Centralizes AI governance across the enterprise by combining AI assets and controls in a single hub.|\n|AI Asset Management|`com.sn_ai_asset_mgmt`|Tracks and manages the lifecycle of AI assets such as systems, models, datasets, and prompts.|\n|AI Risk and Compliance Management|`com.sn_grc_ai_gov`|Manages AI risks across their lifecycle, including risk classification, mapping to regulatory authority documents, and policy compliance.|\n|AI Case Management|`com.sn_ai_case_mgmt`|Tracks, triages, and resolves inquiries and incidents related to AI assets.|\n|AI Risk and Compliance Integration with Control Tower|`com.sn_grc_ai_irm_intg`|Surfaces risk posture, compliance status, and case workflows directly in AI Control Tower so you can manage AI use cases against regulatory frameworks.|\n|AI Control Tower Evaluations|`com.sn_ai_evaluations`|Enables the evaluation framework, scoring engine, and monitoring components for your AI systems.|\n|AI Risk and Compliance Content \\(optional\\)|`com.sn_grc_ai_gov_cont`|Loads frameworks, citations, control objectives, risk statements, and assessment templates for the EU AI Act and the NIST AI Risk Management Framework.|\n\nThe following plugins extend AI Control Tower with capabilities for discovery, security and privacy monitoring, value and engagement dashboards, and reporting.\n\n|Plugin|Plugin ID|Description|\n|------|---------|-----------|\n|AI Security and Privacy|sn\\_ai\\_security|Provides security and privacy monitoring for AI assets.|\n|AI Discovery|sn\\_ai\\_disc|Discovers AI assets, agents, and usage from hyperscaler and external AI platform connectors.|\n|AI Control Tower for Now Assist|sn\\_aict\\_nowassist|Syncs Now Assist AI skills into the AI Control Tower inventory.|\n|Value Dashboard for AI Control Tower|sn\\_ai\\_value|Provides the Value dashboard for measuring AI investment return and adoption.|\n|Health Dashboard for AI Control Tower|sn\\_ai\\_health|Provides the Health dashboard for monitoring the operational health of AI systems.|\n|Engagement Dashboard for AI Control Tower|sn\\_ai\\_engagement|Provides the Engagement dashboard for tracking user engagement with AI assets.|\n|AWH for AI Control Tower|sn\\_awh\\_config|Configures the Agent Workspace Hub for AI Control Tower.|\n|ServiceNow AI Lens|sn\\_ai\\_lens|Provides AI reporting and lens capabilities.|\n|Asset Classes|sn\\_ent|Required for AI Assets API access. Activate this plugin before configuring API-based integrations to the AI Asset records.|\n|Enterprise Architecture for AICT|com.sn\\_ea\\_aict|Provides the shared many-to-many data model connecting AI systems and business applications, independently of the plugin. For more information, see [Enterprise Architecture for AICT plugin installation and upgrade considerations](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/intelligent-experiences/aict-ea-common-upgrade-considerations.md).|\n\n## Roles installed\n\n\n
\n\nRole title \\[name\\]\n\n\n\nDescription\n\n\n\nContains roles\n\n
\n\nAI Steward\n\n \\[sn\\_ai\\_governance.ai\\_steward\\]\n\n\n\nLeads the execution of AI Control Tower initiatives, configures governance and approval workflows, and oversees AI asset adoption across the enterprise. Approves or rejects AI asset approval requests, configures Multi-instance Management, activates hyperscaler connections, and sets up MCP client connections.\n\n\n\n- sn\\_nowassist\\_admin.user\n- sn\\_aia.admin\n- aig\\_admin\n- sn\\_mcp\\_client.admin\n\n
\n\nWorkspace Administrator\n\n \\[sn\\_ai\\_governance.workspace\\_admin\\]\n\n\n\nConfigures the widgets on AI Control Tower pages, including titles, chart types, list sizes, and record conditions. Widget configurations that this role saves apply to all users on the instance.\n\n\n\nsn\\_ai\\_governance.workspace\\_user\n\n
\n\nAI Asset Owner\n\n \\[sn\\_ai\\_asset\\_mgmt.ai\\_asset\\_owner\\]\n\n\n\nManages AI systems, AI models, datasets, and prompts through the asset lifecycle from intake to retirement. Confirms that AI assets are represented accurately and kept up to date, and marks Deploy-phase lifecycle tasks complete. Administers the Smart Assessment Editor \\(SAE\\) application.\n\n\n\nsn\\_smart\\_asmt.assessment\\_admin\n\n
\n\nAI Risk and Compliance Admin\n\n \\[sn\\_grc\\_ai\\_gov.ai\\_risk\\_and\\_compliance\\_admin\\]\n\n\n\nConfigures risk assessment methodologies, risk contribution factors, and impact assessment templates. Defines automation rules for impact assessments, sets up and profiles AI case types, and deletes AI systems.\n\n\n\n- sn\\_risk.admin\n- sn\\_smart\\_asmt.template\\_manager\n- sn\\_grc\\_ai\\_gov.ai\\_risk\\_and\\_compliance\\_manager\n- sn\\_smart\\_asmt.assessment\\_admin\n- sn\\_grc\\_workspace.state\\_model\\_admin\n- sn\\_smart\\_asmt.template\\_contributor\n- sn\\_compliance.admin\n- sn\\_compliance.control\\_framework\\_admin\n- sn\\_compliance.library\\_admin\n- sn\\_compliance.policy\\_admin\n\n
\n\nAI Risk and Compliance Manager\n\n \\[sn\\_grc\\_ai\\_gov.ai\\_risk\\_and\\_compliance\\_manager\\]\n\n\n\nAccesses all AI systems on the instance. Initiates impact assessments, risk assessments, and control attestations, and manages the lifecycle of AI systems.\n\n\n\n- sn\\_grc\\_ai\\_gov.ai\\_risk\\_and\\_compliance\\_analyst\n- sn\\_smart\\_asmt.template\\_contributor\n- sn\\_smart\\_asmt.template\\_manager\n- sn\\_risk\\_advanced.risk\\_asmt\\_project\\_manager\n- sn\\_ai\\_case\\_mgmt.ai\\_case\\_manager\n- sn\\_risk.manager\n- sn\\_compliance.control\\_framework\\_manager\n- sn\\_compliance.library\\_manager\n- sn\\_compliance.policy\\_manager\n\n
\n\nAI Risk and Compliance Analyst\n\n \\[sn\\_grc\\_ai\\_gov.ai\\_risk\\_and\\_compliance\\_analyst\\]\n\n\n\nPerforms impact assessments, risk assessments, control attestations, and lifecycle management on the AI systems assigned to the analyst.\n\n\n\n- sn\\_ai\\_case\\_mgmt.ai\\_case\\_analyst\n- sn\\_smart\\_asmt.assessment\\_reader\n- sn\\_smart\\_asmt.template\\_reader\n- sn\\_grc\\_ai\\_gov.ai\\_risk\\_and\\_compliance\\_business\\_user\n- sn\\_grc\\_ai\\_gov.ai\\_risk\\_and\\_compliance\\_reader\n- sn\\_grc\\_workspace.user\n- sn\\_grc\\_workspace.state\\_model\\_reader\n- sn\\_risk.user\n- sn\\_risk\\_advanced.ara\\_creator\n- sn\\_risk\\_advanced.ara\\_assessor\n- sn\\_risk\\_advanced.ara\\_approver\n- sn\\_risk\\_advanced.risk\\_asmt\\_project\\_user\n- sn\\_compliance.control\\_framework\\_user\n- sn\\_compliance.library\\_user\n- sn\\_compliance.policy\\_user\n\n
\n\nAI Risk and Compliance User\n\n \\[sn\\_grc\\_ai\\_gov.ai\\_risk\\_and\\_compliance\\_business\\_user\\]\n\n\n\nCreates AI cases through Employee Center, works on assigned tasks, and completes control attestations.\n\n\n\n- sn\\_grc\\_workspace.assessment\\_template\\_configuration\\_reader\n- sn\\_smart\\_asmt.actor\n- sn\\_grc\\_workspace.user\n- sn\\_smart\\_asmt.assessment\\_reader\n- sn\\_risk\\_advanced.risk\\_asmt\\_project\\_reader\n- sn\\_grc.business\\_user\n- sn\\_compliance.control\\_framework\\_business\\_user\n- sn\\_compliance.library\\_business\\_user\n- sn\\_compliance.policy\\_business\\_user\n\n
\n\nAI Risk and Compliance Reader\n\n \\[sn\\_grc\\_ai\\_gov.ai\\_risk\\_and\\_compliance\\_reader\\]\n\n\n\nReads AI system records and AI impact assessment records.\n\n\n\n- sn\\_grc\\_workspace.user\n- sn\\_grc\\_workspace.state\\_model\\_reader\n- sn\\_risk.reader\n- sn\\_compliance.library\\_reader\n- sn\\_compliance.control\\_framework\\_reader\n- sn\\_compliance.policy\\_reader\n\n
\n\nAI System Reader\n\n \\[sn\\_grc\\_ai\\_gov.ai\\_risk\\_and\\_compliance\\_ai\\_system\\_reader\\]\n\n\n\nReads AI system records in both the AI Control Tower workspace and the AI Risk and Compliance workspace.\n\n\n\nNone\n\n
\n\nAI Case Business User\n\n \\[sn\\_ai\\_case\\_mgmt.ai\\_case\\_business\\_user\\]\n\n\n\nCreates AI cases and AI inquiries in Employee Center.\n\n\n\nsn\\_grc\\_case\\_mgmt.grc\\_case\\_business\\_user\n\n
\n\nAI Case Analyst\n\n \\[sn\\_ai\\_case\\_mgmt.ai\\_case\\_analyst\\]\n\n\n\nReviews AI cases and AI inquiries assigned to the analyst. Identifies and manages impacted policies, regulations, and compliance risks, and addresses root-cause issues.\n\n\n\n- sn\\_grc\\_case\\_mgmt.grc\\_case\\_analyst\n- sn\\_ai\\_case\\_mgmt.ai\\_case\\_business\\_user\n\n
\n\nAI Case Manager\n\n \\[sn\\_ai\\_case\\_mgmt.ai\\_case\\_manager\\]\n\n\n\nReviews all AI cases and AI inquiries across the organization. Monitors case volume and severity and oversees case resolution.\n\n\n\n- sn\\_ai\\_case\\_mgmt.ai\\_case\\_analyst\n- sn\\_grc\\_case\\_mgmt.grc\\_case\\_manager\n\n
\n\nAI Case Admin\n\n \\[sn\\_ai\\_case\\_mgmt.ai\\_case\\_admin\\]\n\n\n\nConfigures AI case types, state models, assignment rules, and assessment templates. Deletes AI cases.\n\n\n\n- sn\\_grc\\_case\\_mgmt.grc\\_case\\_admin\n- sn\\_ai\\_case\\_mgmt.ai\\_case\\_manager\n\n
## Tables installed\n\n\n
\n\nTable\n\n\n\nDescription\n\n
\n\nAI System Digital Asset\n\n \\[alm\\_ai\\_system\\_digital\\_asset\\]\n\n\n\nRecords for AI system assets. Captures class, state, ownership, model category, and the associated models and datasets.\n\n
\n\nAI Model Digital Asset\n\n \\[alm\\_ai\\_model\\_digital\\_asset\\]\n\n\n\nRecords for AI model assets. Captures training and evaluation datasets and defaults the category to AI Model.\n\n
\n\nAI Dataset Digital Asset\n\n \\[alm\\_ai\\_dataset\\_digital\\_asset\\]\n\n\n\nRecords for AI dataset assets. Captures dataset relationships and defaults the category to AI Dataset.\n\n
\n\nAI Prompt Digital Asset\n\n \\[alm\\_ai\\_prompt\\_digital\\_asset\\]\n\n\n\nRecords for AI prompt assets. Prompt assets are created from the AI Control Tower workspace only, not through Service Catalog.\n\n
\n\nAI System Component Product Model\n\n \\[cmdb\\_ai\\_system\\_component\\_product\\_model\\]\n\n\n\nProduct model attributes for AI system assets. Linked 1:1 to the AI System Digital Asset record.\n\n
\n\nAI Model Product Model\n\n \\[cmdb\\_ai\\_model\\_product\\_model\\]\n\n\n\nProduct model attributes for AI model assets. Linked many-to-one to the AI Model Digital Asset record.\n\n
\n\nAI Dataset Product Model\n\n \\[cmdb\\_ai\\_dataset\\_product\\_model\\]\n\n\n\nProduct model attributes for AI dataset assets.\n\n
\n\nAI Prompt Product Model\n\n \\[cmdb\\_ai\\_prompt\\_product\\_model\\]\n\n\n\nProduct model attributes for AI prompt assets.\n\n
\n\nAI Asset Governance Details\n\n \\[sn\\_ai\\_governance\\_asset\\_governance\\_details\\]\n\n\n\nPrimary lifecycle governance record. Provides end-to-end lifecycle visibility, governance state tracking, and oversight across the Assess, Build & Test, and Deploy phases.\n\n
\n\nAI Asset Lifecycle\n\n \\[sn\\_ai\\_governance\\_lifecycle\\]\n\n\n\nLifecycle phase definitions. AI Stewards can extend the default Assess, Build & Test, and Deploy phases by adding records to this table and updating the corresponding playbook.\n\n
\n\nAI Asset Approval Request\n\n \\[sn\\_ai\\_governance\\_assessment\\_request\\]\n\n\n\nApproval requests that operationalize the lifecycle defined in the AI Asset Governance Details record. Configured with Type = \"AI Governance Lifecycle\" and drives progression across the lifecycle phases.\n\n
\n\nAI Asset Approval Task\n\n \\[sn\\_ai\\_governance\\_assessment\\_task\\]\n\n\n\nDiscrete governance and compliance tasks created within an approval request. Each task represents an activity across the Assess, Build & Test, or Deploy phase.\n\n
\n\nAI Asset Use and Purpose\n\n \\[sn\\_ai\\_governance\\_asset\\_use\\_purpose\\]\n\n\n\nRecords the intended outcome, usage area, output type, impacted stakeholders, human involvement, interaction model, and autonomy level for each AI system. Used as input to risk classification and impact assessments.\n\n
\n\nAI System\n\n \\[sn\\_grc\\_ai\\_gov\\_ai\\_system\\]\n\n\n\nOperational AI system record used by AI Risk and Compliance. Drives risk assessments, compliance workflows, and regulatory tracking. Created when the AI Steward starts the lifecycle review for an AI system.\n\n
\n\nAI Usage\n\n \\[sn\\_ai\\_disc\\_ai\\_usage\\]\n\n\n\nUsage records imported from hyperscaler and external AI platform connectors. Installed with the AI Discovery plugin. Consumed by the AI Control Tower value dashboard.\n\n
\n\nBusiness Application Product Model Map\n\n \\[sn\\_ea\\_aict\\_ba\\_product\\_model\\_map\\]\n\n\n\nMany-to-many association table between AI System Component Product Model records and business applications. Installed with the Enterprise Architecture for AICT plugin.\n\n
## Scheduled jobs installed\n\n|Scheduled job|Description|\n|-------------|-----------|\n|Migrate BA Product Model Map from EA Workspace|Migrates existing AI system-to-business application associations from the Enterprise Architecture Workspace map \\[sn\\_apm\\_ws\\_ba\\_product\\_model\\_map\\] to the Enterprise Architecture for AICT map \\[sn\\_ea\\_aict\\_ba\\_product\\_model\\_map\\]. Installed with the Enterprise Architecture for AICT plugin. This job doesn't run automatically. For steps, see [Run the Migrate BA Product Model Map job](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/application-portfolio-management/eaw-run-migrate-ba-product-model-map-job.md).|\n\n**Related topics** \n\n\n[Enterprise Architecture for AICT plugin installation and upgrade considerations](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/intelligent-experiences/aict-ea-common-upgrade-considerations.md)\n\n[Run the Migrate BA Product Model Map job](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/application-portfolio-management/eaw-run-migrate-ba-product-model-map-job.md)\n\n"}}