Request an AI use case form
The Request an AI use case form is designed to streamline the request process for developing or procuring an AI-based solution. This intake form confirms that all necessary details, supporting documents, and compliance considerations are captured before moving forward with development and deployment of the AI-solution.
See the following table for a description of the field values.
| Field | Description |
|---|---|
| Details | |
| Name | Unique name for the AI use case or AI system. For example, `AI-Based Credit Scoring for Loan Approvals`. |
| State | Indicates whether the AI system is in the draft, development, or deployed state. Draft is the default state. The following options are available.
For more information on states, see AI asset lifecycle.Note: This field is available in the Request an AI use case form on the Employee Center. |
| Version | Version number for the AI system. For example, v1.0. |
| Model category | AI model category to classify how the system learns and decides. The following options are available.
|
| Description | Brief 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 |
| Documentation | Any supporting documentation for the dataset sources, training processes, and model behavior.For example, data source specifications, model cards, training summaries, or evaluation reports. |
| Ownership | |
| Provider | Organization responsible for providing the AI system. For example, ServiceNow. |
| Department | Business unit managing the AI system. For example, marketing or sales. |
| Managed by | User responsible for managing the AI system. Note: By default, this field is automatically populated with the requestor or submitter of the request. |
| Business application | Select one or more business applications to associate with the AI system. This field is available only when Enterprise Architecture (EA) is installed and business applications are configured. Associating a business application creates an association between the AI system and the selected application. For more information, see AI Control Tower integration with Enterprise Architecture. Note:
|
| AI models and Datasets | |
| AI models | AI models that define the system's learning and decision-making process. For example, GPT 3.5 Turbo. |
| Datasets | Datasets to train or test the AI models. For example, ServiceNow Customer purchase history 1.0. |
| Use and purpose | |
| Intended outcome of the AI system | Primary business outcome the AI system is expected to achieve. The following options are available. - Not Applicable - Efficiency Boost - Quality Enhancement - Decision Guidance - Automation of Tasks - Customer Experience Upgrade - Insight Generation |
| Area where the AI system is used | Business or operational areas where the AI system is used or provides value.Select all that apply. - Customer services - External Partner Ecosystem - Finance & Accounting - HR & Workforce - Internal Operations - IT & Security - Sales & Marketing - Supply Chain |
| Type of output produced | Type of outputs the AI system produces for users, systems, or downstream processes.Select all that apply. - Automated Decisions - Generated Content - Insight & Summaries - Ranking & Scores - Recommendations - Simple Alerts - System Actions |
| People affected by the AI system | Groups of people who may be directly or indirectly affected by the AI system’s outputs or decisions.Select all that apply. - External Partners - General Customer Base - Internal Team - Public or Large Audiences - Specific Customer Groups |
| Level of human involvement | When and how people guide, review, or accept the AI system’s activities during operation.The following options are available. - Not Applicable - Full User Control - User-Guided with AI Support - Shared Control - AI-Initiated with User Approval - Fully Automated Workflow |
| Data used by the system | Types of data the AI system uses to process inputs and generate outputs.Select all that apply. - Behavioral or Usage Data - Business Operational Data - Customer Interaction Data - Profile or Account Data - Public or General Info - Sensitive Business Data |
| Interaction type with end users | End user interaction with the AI system including whether outputs are visible, actionable, or interactive.The following options are available. - Not Applicable - No Direct Interaction - Background Support - Notifications & Prompts - User-Facing Recommendations - Chat-Based Interaction - Interactive Experience |
| System autonomy level | Extent to which the AI system initiates actions or decisions without human intervention.The following options are available. - None - Assistive \(AI suggests\) - Semi-Automated \(acts with confirmation\) - Condition-Based Automation - Event-Triggered Automation - Fully Automated Execution |
| Additional use and purpose details | Additional information or context that helps clarify the specific use and purpose of this AI system. |
Parent Topic:Request an AI use case