{"revision":"c10276e953456835cdbb1f3a60d58ae1980be353","document":{"id":16293,"path":"governance-risk-compliance/ai-risk-management/request-ai-system-form.md","title":"Request an AI use case form","bundle":null,"doc_type":null,"release":"australia","body":"\n# Request an AI use case form\n\nThe Request an AI use case form captures details, supporting documents, and compliance considerations for developing or procuring an AI-based solution.\n\n\n
\n\nField\n\n\n\nDescription\n\n
\n\nDetails\n\n
\n\nName\n\n\n\nUnique name for the AI use case or AI system. For example, `AI-Based Credit Scoring for Loan Approvals`.\n\n
\n\nState\n\n\n\nCurrent state of the AI system: draft, development, or deployed. Draft is the default state.\n\nThe following options are available.\n\n- Draft\n- Deployed\n- Development\n\nFor more information on states, see [AI asset lifecycle](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/intelligent-experiences/ai-asset-lifecycle.md).\n\n**Note:** This field is available in the Request an AI use case form on the Employee Center.\n\n
\n\nVersion\n\n\n\nVersion number for the AI system. For example, v1.0.\n\n
\n\nModel category\n\n\n\nAI model category to classify how the system learns and decides. The following options are available.\n\n- Agentic AI: Acts autonomously to achieve goals by planning, deciding, and taking actions.\n- Classic AI: Follows fixed rules to solve structured problems.\n- Generative AI: Learns from data to create content like text, images, or code.\n\n
\n\nDescription\n\n\n\nBrief description of the AI system, its core functionality, and intended use.For example, an AI system that analyzes incident and request data to identify recurring issues and recommend proactive remediation actions.\n\n
\n\nDocumentation\n\n\n\nAny supporting documentation for the dataset sources, training processes, and model behavior.For example, data source specifications, model cards, training summaries, or evaluation reports.\n\n
\n\nOwnership\n\n
\n\nProvider\n\n\n\nOrganization responsible for providing the AI system. For example, ServiceNow.\n\n
\n\nDepartment\n\n\n\nBusiness unit managing the AI system. For example, marketing or sales.\n\n
\n\nManaged by\n\n\n\nUser responsible for managing the AI system. **Note:** This field is automatically populated with the name of the person who submitted the request.\n\n
\n\nBusiness application\n\n\n\nOne or more business applications to associate with the AI system. This field is available when the Enterprise Architecture for AICT plugin \\(com.sn\\_ea\\_aict\\) is active. The Enterprise Architecture for AICT plugin installs automatically with AI Control Tower Core \\(sn\\_ai\\_governance\\).\n\n Associate one or more business applications with the AI system.\n\n- You can select multiple business applications.\n- If you don't select a business application, intake and onboarding continue without interruption.\n- Retired business applications aren't available for selection.\n\nFor more information, see [AI Control Tower integration with Enterprise Architecture](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/application-portfolio-management/eaw-aict.md).\n\n **Note:** Starting in version 23.1.1, availability depends on the Enterprise Architecture for AICT plugin instead. If AI Risk and Compliance, Enterprise Architecture Workspace, and AI Control Tower Core are upgraded out of sync, this field's behavior and your existing business application associations may be temporarily affected. For more information, see [Enterprise Architecture for AICT plugin installation and upgrade considerations](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/intelligent-experiences/aict-ea-common-upgrade-considerations.md).\n\n
\n\nAI models and datasets\n\n
\n\nAI models\n\n\n\nAI models that define the system's learning and decision-making process. For example, GPT 3.5 Turbo.\n\n
\n\nDatasets\n\n\n\nDatasets to train or test the AI models. For example, ServiceNow Customer purchase history 1.0.\n\n
\n\nUse and purpose\n\n
\n\nIntended outcome of the AI system\n\n\n\nPrimary business outcome the AI system is expected to achieve. The following options are available.\n\n- Not Applicable\n- Efficiency Boost\n- Quality Enhancement\n- Decision Guidance\n- Automation of Tasks\n- Customer Experience Upgrade\n- Insight Generation\n\n
\n\nArea where the AI system is used\n\n\n\nBusiness or operational areas where the AI system is used or provides value.Select all that apply.\n\n- Customer Services\n- External Partner Ecosystem\n- Finance & Accounting\n- HR & Workforce\n- Internal Operations\n- IT & Security\n- Sales & Marketing\n- Supply Chain\n\n
\n\nType of output produced\n\n\n\nType of outputs the AI system produces for users, systems, or downstream processes.Select all that apply.\n\n- Automated Decisions\n- Generated Content\n- Insight & Summaries\n- Ranking & Scores\n- Recommendations\n- Simple Alerts\n- System Actions\n\n
\n\nPeople affected by the AI system\n\n\n\nGroups of people who may be directly or indirectly affected by the AI system's outputs or decisions.Select all that apply.\n\n- External Partners\n- General Customer Base\n- Internal Team\n- Public or Large Audiences\n- Specific Customer Groups\n\n
\n\nLevel of human involvement\n\n\n\nDegree of human guidance, review, or approval applied to the AI system's activities during operation.The following options are available.\n\n- Not Applicable\n- Full User Control\n- User-Guided with AI Support\n- Shared Control\n- AI-Initiated with User Approval\n- Fully Automated Workflow\n\n
\n\nData used by the system\n\n\n\nTypes of data the AI system uses to process inputs and generate outputs.Select all that apply.\n\n- Behavioral or Usage Data\n- Business Operational Data\n- Customer Interaction Data\n- Profile or Account Data\n- Public or General Info\n- Sensitive Business Data\n\n
\n\nInteraction type with end users\n\n\n\nEnd user interaction with the AI system, including whether outputs are visible, actionable, or interactive.The following options are available.\n\n- Not Applicable\n- No Direct Interaction\n- Background Support\n- Notifications & Prompts\n- User-Facing Recommendations\n- Chat-Based Interaction\n- Interactive Experience\n\n
\n\nSystem autonomy level\n\n\n\nExtent to which the AI system initiates actions or decisions without human intervention.The following options are available.\n\n- None\n- Assistive \\(AI suggests\\)\n- Semi-Automated \\(acts with confirmation\\)\n- Condition-Based Automation\n- Event-Triggered Automation\n- Fully Automated Execution\n\n
\n\nAdditional use and purpose details\n\n\n\nAdditional information or context that helps clarify the specific use and purpose of this AI system.\n\n
**Parent Topic:**[Request an AI use case](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/governance-risk-compliance/ai-risk-management/request-ai-system.md)\n\n"}}