--- sourceDocument: Brazil Enable AI sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences Release : - brazil ft:locale : - en-US ft:publication_title : - Brazil Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # Guided setup areas # Guided setup areas {#ariaid-title1} Release version: Brazil Updated September 10, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 3 minutes to read Area-by-area listing of the setup items in guided setup, with cross-references to the topic each item relates to. Guided setup groups setup items into the areas listed in this topic. The order of areas and items shown here matches the order in which guided setup displays them. ## Users and roles {#aict-guided-setup-modules__users-and-roles} Assign users to the groups that grant access to AI Control Tower. {#aict-guided-setup-modules__table_users-and-roles__entry__3} | Setup area | Setup item | Description | |-|-|-| | Users and roles | Assign users to roles | Assign users to the AI Stewards, AI Product Owners, and AI Risk and Compliance Managers groups to grant them the corresponding permissions. For more information, see [Configure users and roles](https://www.servicenow.com/docs/aEH2GTwD7iF0Uz5S_g4~Lw "Add and manage role to a user group to grant its members the corresponding permissions in AI Control Tower."). | [Table 1. Users and roles setup items] {#aict-guided-setup-modules__table_users-and-roles} ## AI asset inventory {#aict-guided-setup-modules__ai-asset-inventory} Bring ServiceNow and external AI assets into your inventory, and decide which assets participate in governance, monitoring, and value workflows. {#aict-guided-setup-modules__table_ai-asset-inventory__entry__3} | Setup area | Setup item | Description | |-|-|-| | AI asset inventory | Manage ServiceNow AI assets | Review AI systems, models, prompts, and datasets that AI Control Tower discovers automatically, and mark them as managed to bring them into governance, monitoring, and value workflows. For more information, see [Managing your AI asset inventory](https://www.servicenow.com/docs/SI95UJOEtWfKFKBKFJlO3Q "Track every AI system, model, prompt, and dataset across your enterprise and control which assets participate in governance, monitoring, and risk workflows."). | | Discover external AI assets | Configure external connectors | Connect to cloud hyperscalers or SaaS applications to discover AI assets automatically and bring them into your inventory. For more information, see [Configuring connectors](https://www.servicenow.com/docs/7ynTf8wspU5aZ~CWs5MLag "Discover AI assets running on external platforms and hyperscaler environments to populate your AI asset inventory, apply consistent governance, and report on usage in AI Control Tower."). | | Discover external AI assets | Set up traces | Connect to AWS, Microsoft Azure, or Google Cloud to collect trace data, discover AI agents running on those platforms, and generate evaluation and security metrics. For more information, see [Configuring trace connections](https://www.servicenow.com/docs/EK3Iw3iPFL6BCuHFHeVTuQ "Collect trace data from AI agents running on supported cloud platforms and monitoring services to generate evaluation metrics, populate AI inventory, and support security monitoring in AI Control Tower."). | | Discover external AI assets | Add assets manually | Register an AI system, AI model, prompt, dataset, or MCP server that isn't reachable through a connector or trace. For more information, see [Creating AI assets manually](https://www.servicenow.com/docs/bQ1y5dOrtcrL027yUDym_g "You can create AI assets manually to track and manage the life cycles of your AI systems, AI models, prompts, and datasets."). | | Mark AI assets as Managed | Mark assets as Managed manually | Select assets from your inventory and mark them as managed to give them access to governance, value assessment, risk classification, monitoring, and security capabilities. For more information, see [Managed and unmanaged AI assets](https://www.servicenow.com/docs/pPKUfz4b48OcqeHnywMJpA "Control whether an AI asset participates in governance workflows by changing the status in AI Control Tower."). | | Mark AI assets as Managed | Set rules to mark assets as Managed | Create or activate automation rules that mark discovered AI assets as managed automatically, based on conditions you define. For more information, see [Edit an automation rule](https://www.servicenow.com/docs/sYQ6Io3~z~x8z5yxmu8bUw "Change which discovered AI assets a rule marks as managed, or update its name or description, by editing an existing automation rule."). | [Table 2. AI asset inventory setup items] {#aict-guided-setup-modules__table_ai-asset-inventory} ## Value and cost configuration {#aict-guided-setup-modules__value-and-cost-configuration} Configure the templates and cost inputs used to calculate the value your AI assets deliver. {#aict-guided-setup-modules__table_value-and-cost-configuration__entry__3} | Setup area | Setup item | Description | |-|-|-| | Value and cost configuration | Value templates | Select from existing value templates or create custom templates to define, calculate, and track the value your AI assets deliver. For more information, see [Value](https://www.servicenow.com/docs/BFaYdTflU82QpL8skWQtPQ "Value translates AI usage into measurable productivity metrics."). | | Value and cost configuration | Cost framework | Configure cost and productivity inputs, such as hourly rates and AI costs by vendor, to calculate the net return on your AI investment. For more information, see [Cost](https://www.servicenow.com/docs/kUlW80xSjRc17SnfmlX4gQ "Cost records the actual expenses associated with your AI systems, enabling AI Control Tower to compare these costs against productivity gains and calculate the net return on investment."). | [Table 3. Value and cost configuration setup items] {#aict-guided-setup-modules__table_value-and-cost-configuration} ## ServiceNow AI settings {#aict-guided-setup-modules__servicenow-ai-settings} Configure data sharing, deployment approval, and AI model provider settings that apply across your instance, not just AI Control Tower. {#aict-guided-setup-modules__table_servicenow-ai-settings__entry__3} | Setup area | Setup item | Description | |-|-|-| | ServiceNow AI settings | Configure data control preferences | Set how your organization shares data with ServiceNow and manages data traffic during peak usage. For more information, see [Configuring data controls](https://www.servicenow.com/docs/wb_O2e20~kzgijlLCr290A "Choose whether your instance contributes data that ServiceNow uses to improve its AI products, and whether ServiceNow Otto traffic can move to Microsoft Azure datacenters during traffic spikes."). | | ServiceNow AI settings | Set builder controls | Require AI steward approval before AI assets deploy, and trigger approval requests automatically. For more information, see [Configuring builder controls](https://www.servicenow.com/docs/9CuSowgAGNIM4ZFIYJ~Igw "Keep a human review between building an AI asset and deploying it by requiring AI steward approval for each asset type and triggering approval requests automatically."). | | ServiceNow AI settings | Configure AI model providers | Choose which AI model providers are allowed on your instance and set fallback behavior for AI systems whose providers aren't on the allowed list. For more information, see [Configuring AI model providers](https://www.servicenow.com/docs/HTZWdLUR0c_IKHmufcXWkQ "Limit your AI systems to the model providers your organization approves, control where AI requests are processed, and see how each change affects the AI systems on your instance before you save it."). | [Table 4. ServiceNow AI settings setup items] {#aict-guided-setup-modules__table_servicenow-ai-settings}