--- sourceDocument: Australia Governance, Risk, and Compliance sourceDocumentLink: https://www.servicenow.com/docs/r/australia/governance-risk-compliance Release : - australia ft:locale : - en-US ft:publication_title : - Australia Governance, Risk, and Compliance ft:clusterId : - grc bundleId : - grc workflow : - Technology --- # AI use case and AI model element fields # AI use case and AI model element fields {#ariaid-title1} Release version: Australia Updated September 10, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 4 minutes to read The Elements grid displays dynamic fields when you add or edit an AI use case or AI model element in the Third-party Risk Management application. ## Dynamic field behavior {#tprm-tpe-ai-fields-form__tprm-tpe-ai-fields-intro} Some fields in the Elements grid are static and appear for every element regardless of classification. For static fields, see [Third-party element form](https://www.servicenow.com/docs/Q7WdAmMHDWOG6ep3FwTlVA "Use the third-party element form to capture the information needed to create a third-party element record in the Third-party Risk Management application. As a third-party risk manager, third-party risk assessor, or due diligence request owner, you can create a third-party element record."). The fields in this topic are dynamic and appear only when you add or edit an AI use case or AI model element. ## AI use case dynamic fields {#tprm-tpe-ai-fields-form__tprm-tpe-ai-use-case-fields} {#tprm-tpe-ai-fields-form__table_ai_use_case_fields__entry__2} | Field | Description | |-|-| | Interaction type with end users | How the AI system interacts with end users. * Not applicable * No direct interaction * Background support * Notifications \& prompts * User facing recommendations * Chat based interaction * Interactive experience {#tprm-tpe-ai-fields-form__ul_s1g_vrm_hkc} | | AICT State | The life cycle state of the AI use case. * Draft * Deployed * Development {#tprm-tpe-ai-fields-form__ul_t1g_vrm_hkc} | | Area where the AI system is used | The business area or domain where the AI system operates. * Internal operations * Customer services * Sales \& Marketing * Finance \& Accounting * IT \& Security * Supply chain * HR \& Workforce * External partner ecosystem {#tprm-tpe-ai-fields-form__ul_u1g_vrm_hkc} | | System autonomy level | The degree of autonomy the AI system has when making decisions or taking actions without human intervention. * Not applicable * Assistive (AI suggests) * Semi automated * Condition based automation * Event triggered automation * Fully automated execution {#tprm-tpe-ai-fields-form__ul_v1g_vrm_hkc} | | Intended outcome of the AI system | The outcome the AI system produces. * Not Applicable * Efficiency Boost * Quality Enhancement * Decision Guidance * Automation of Tasks * Customer Experience Upgrade * Insight Generation {#tprm-tpe-ai-fields-form__ul_w1g_vrm_hkc} | | Level of human involvement | The extent to which a human reviews or approves the AI system's outputs before they take effect. * Not applicable * Full user control * User guided with AI support * Shared control * AI initiated with user approval * Fully automated workflow {#tprm-tpe-ai-fields-form__ul_x1g_vrm_hkc} | | Data used by the system | The type or category of data the AI system uses to generate its outputs. * Public or general info * Business operational data * Customer interaction data * Behavioral or usage data * Profile or account data * Sensitive business data {#tprm-tpe-ai-fields-form__ul_y1g_vrm_hkc} | | Type of output produced | The kind of output the AI system generates. * Simple alerts * Insight \& summaries * Ranking \& scores * Recommendations * Generated content * Automated decisions * System actions {#tprm-tpe-ai-fields-form__ul_z1g_vrm_hkc} | | Asset type | The type of underlying AI asset the use case is built on. * Agentic AI * Classic AI * Digital worker * Generative AI {#tprm-tpe-ai-fields-form__ul_abg_vrm_hkc} | | People affected by the AI system | The individuals or groups whose rights, safety, or opportunities may be affected by the AI system's use. * Internal team * Specific customer groups * General customer base * External partners * Public or large audiences {#tprm-tpe-ai-fields-form__ul_bbg_vrm_hkc} | | Version | The version number of the AI use case. | | Description | A description of the AI use case. | | Provider | The organization that provides the AI use case. | | Supported locations | The geographic locations where the AI use case applies or is supported. | | Documentation | Links to documentation describing the AI use case, such as technical specifications or governance records. | | License details | Information about the licensing terms that apply to the AI use case. Note: Check your entitlements to determine whether licensing terms apply to this AI use case. | | Additional use \& purpose | Additional context about how or why the AI use case is used, beyond its primary intended outcome. | | Department | The department responsible for, or using, the AI use case. | | Related assets: AI models | Links the AI models the use case relies on. For more information, see [Manage elements in the grid](https://www.servicenow.com/docs/zSVT2CELXfCS01RFTSxmbg "Manage third-party elements in the Elements grid by adding, editing, and deleting records. You can also link AI models to AI use case elements in the Third-party Risk Management application."). | [Table 1. AI use case element fields] {#tprm-tpe-ai-fields-form__table_ai_use_case_fields} ## AI model dynamic fields {#tprm-tpe-ai-fields-form__tprm-tpe-ai-model-fields} {#tprm-tpe-ai-fields-form__table_ai_model_fields__entry__2} | Field | Description | |-|-| | Global AI model | A global AI model can be linked to AI use case elements across multiple third parties. A local AI model (with Global AI model cleared) is available only within the third party where you created it. For more information, see [Manage elements in the grid](https://www.servicenow.com/docs/zSVT2CELXfCS01RFTSxmbg "Manage third-party elements in the Elements grid by adding, editing, and deleting records. You can also link AI models to AI use case elements in the Third-party Risk Management application."). | | Deployment guidelines | Guidance on how to deploy the AI model, such as configuration or environment requirements. | | Context window | The maximum amount of input the AI model can process in a single request, typically measured in tokens. | | Model card | A link to or summary of the model card documenting the AI model's intended use, performance, and limitations. | | Model size (in MB) | The size of the AI model, in megabytes. | | Training procedure | The method used to train the AI model. * Linear regression * Logistic regression * Decision trees * Random forest * Supervised learning * Unsupervised learning * Reinforcement learning * Transfer learning * Semi supervised learning * Instruction finetuning * Supervised finetuning {#tprm-tpe-ai-fields-form__ul_cbg_vrm_hkc} | | Required infrastructure | The hardware or infrastructure needed to run the AI model. | | Model weights info | Information about the numerical weights learned during training that influence how the AI model generates outputs. | | Model parameters info | Information about the AI model's parameters, such as the parameter count. | | Evaluation metrics report | A report describing how the AI model was evaluated and the results of that evaluation. | | Related assets: Base models | Links the base models the AI model relies on. A base model is a foundational AI model that has been pretrained on a large dataset and can be further fine-tuned for specific use cases. These models serve as a starting point for developing specialized AI models adapted to domain-specific data and requirements. | | Version | The version number of the AI model. | | Description | A description of the AI model. | | Provider | The organization that provides the AI model. | | Supported locations | The geographic locations where the AI model applies or is supported. | | Supported languages | The languages the AI model supports. | [Table 2. AI model element fields] {#tprm-tpe-ai-fields-form__table_ai_model_fields} **Related concepts** * [Monitoring third-party elements](https://www.servicenow.com/docs/Y_fxTAUDrR5N9jLlvmFTVQ "Monitor third-party elements using scalable scoring models, relationship analysis, and due diligence workflow integration in the Third-party Risk Management application to conduct more informed risk assessments as part of your third-party risk program.") **Related tasks** * [Manage elements in the grid](https://www.servicenow.com/docs/zSVT2CELXfCS01RFTSxmbg "Manage third-party elements in the Elements grid by adding, editing, and deleting records. You can also link AI models to AI use case elements in the Third-party Risk Management application.") **Related reference** * [Third-party element form](https://www.servicenow.com/docs/Q7WdAmMHDWOG6ep3FwTlVA "Use the third-party element form to capture the information needed to create a third-party element record in the Third-party Risk Management application. As a third-party risk manager, third-party risk assessor, or due diligence request owner, you can create a third-party element record.")