Ai Control Tower

The following section provides an order of installing the applications and their dependent plug-ins.

Adding a Global MCP client from the AI gateway configuration page.

Add an MCP server from the MCP Catalog in AI Control Tower.

Add an external MCP server from ServiceNow AI Agent studio.

Add an MCP server from AI Control Tower.

Add value template form fields and descriptions.

Additional attributes for the AI asset data model.

The AI asset inventory includes all the AI-related assets used by an organization, including AI models, prompts, systems, and databases.

The AI asset life cycle defines the series of stages that you must follow to manage an AI system, AI model, prompt, or dataset throughout its useful life.

An AI asset refers to a digital tool or resource that uses artificial intelligence to carry out particular tasks or address problems. Examples include machine learning models, chatbots, natural language processing systems, image recognition software, and similar technologies.

Track, monitor, and analyze your AI case workflows, identify your workflow bottlenecks, and check your accountability of your AI-related risks by using the AI risk and compliance dashboard. As an AI steward, you can also use the dashboard to track the status and trends of your AI-related inquiries.

Explore the AI Control Tower home page.

The AI Control Tower is a platform that connects different parts of an organization to speed up the AI adoption.

Explore datasets in detail with examples.

Explore the AI connections page and its features.

Several types of components are part of the Evaluation tab, including scheduled jobs, tables, system properties, and flows.

Configure conversation evaluations by disabling evaluations, adjusting execution logic and thresholds, and tuning scoring weights.

Evaluate random conversations by enabling continuous monitoring.

Batch evaluation enables Eval admins to evaluate up to 100 completed virtual agent conversations at once, based on a saved query.

The workflow for evaluation execution, which performs evaluations when conversations are completed.

Expand the Human feedback section to see details on evaluations and their satisfaction scores.

Metrics against which conversations are evaluated and calculation of adjusted scores.

Reference topics for the Evaluation dashboard.

The Value tab in the Evaluation dashboard displays the value, efficiency, and time savings of the virtual agent. The information on this tab gives you a transparent and reliable estimation of the value delivered by the virtual agent, focusing on a quality-adjusted calculation of the time saved for users.

The Evaluation tab contains the Evaluation dashboard, which is designed to measure, automate, and improve the quality of interactions with Virtual Agent. This dashboard addresses several key challenges to enhance the end-user experience and overall virtual agent utility.

Explore the AI Gateway page and its tab in the AI Control Tower Configurations.

Explore the AI Gateway, its value and learn how to use and configure it for your MCP (Model context protocol) transactions.

Explore the AI Gateway tab in the AI Control Tower.

The AI Control Tower dashboard displays a comprehensive overview of the AI status, AI inventory, and other AI related metrics.

AI asset inventory includes all the AI assets such as AI models, AI systems, prompts, datasets, and MCP servers that an organization can use.

Explore AI models in detail with examples.

The AI portfolio tab in the AI Control Tower home page displays all AI assets, which includes (active, inactive, and completed) to the workspace users.

Explore prompts in detail with examples.

The AI Service Graph Connector for IBM uses separate data sources and staging tables for each asset type, per service. The staged data is transformed and loaded into target CMDB tables.

Explore the IBM APIs used by the AI Service Graph Connector for IBM

When you complete setting up the connection, you can configure the integration to periodically pull data from IBM. The data is saved in tables that extend from the Configuration Item [cmdb_ci] table.

AI Service Graph Connector for IBM properties control the behavior of the connector.

The AI Service Graph Connector for IBM enables you to discover and import AI assets from your IBM environment into ServiceNow AI Control Tower.

Explore the OCI APIs used by the AI Service Graph Connector for OCI

When you complete setting up the connection, you can configure the integration to periodically pull data from OCI. The data is saved in tables that extend from the Configuration Item [cmdb_ci] table.

The AI Service Graph Connector for OCI uses separate data sources and staging tables for each asset type, per service. The staged data is transformed and loaded into target CMDB tables.

The AI Service Graph Connector for OCI enables you to discover and import AI assets from your OCI environment into ServiceNow AI Control Tower.

You can track and monitor the progress of your strategic priorities, goals, planning items, and execution items—projects and demands classified as Artificial Intelligence in other ServiceNow applications.

The AI strategy tab includes information about all the AI-related priorities, goals, planning items, and execution items—projects and demands in the AI Control Tower workspace.

Explore AI systems in detail with examples.

Use the All Security Tasks tab to view all AI security tasks for your instance. You can also create an AI task on this page.

Use the Adoption dashboard page to view data about user engagement and feedback, and adoption of every type of AI.

Monitor the performance of guardrails enabled through AI Guardian.

Reference topics for AI Control Tower.

Use the Value dashboard page to gain insights into the value realized from multiple types of AI in your organization.

Explore the AWS APIs used in AI service Graph Connector for Amazon.

Explore the Salesforce APIs used in AI service Graph Connector for Salesforce. The table lists all the Salesforce API endpoints used by the connector.

Explore the AWS APIs used in AI service Graph Connector for LangGraph.The table lists all the LangSmith API endpoints used by the connector.

The approvals are requests created to either approve or reject an asset. The Approvals menu displays a list of Now Assist approvals.

Learn about the AI assets list, managed and unmanaged assets.

The Automation rules define how AI assets are set to managed.

Use the  AI Service Graph Connector for Amazon to discover AI assets such as AI systems, agents, models, tools, and prompts and well as usage data for these AI agents in AI Control Tower. This usage information is consumed by the AI Control Tower value dashboard.

The Business portfolio tab on the AI Control Tower home page displays AI adoption trends across your business application portfolio.

You can view all the assigned and unassigned AI cases in a list view in the AI Control Tower.

Complete the AI asset lifecycle process starting from assessment through deployment.

Configuring AWS for a hyperscaler connection.

Configuring the Azure portal.

Configure CloudTrail to store execution logs of your bedrock agents activities and configure CloudWatch to monitor your trail logs and notify you when specific activity occurs.

Configuring IAM policy action permissions necessary for Agent discovery and integration user access on AWS to read bedrock agentic data.

Configuring IAM policy action permissions necessary for execution monitoring and integration user access on AWS to read Cloudwatch logs usage data.

Configuring Multi-Instance management for AI Control Tower.

Use the AI Control Tower to configure third-party LLMs based on the data routing configuration for the APJC region.

Configure the AI Control Tower workflow.

Configuring the AI Control Tower for Now Assist from the Configurations page.

Connecting to Azure from ServiceNow for an hypserscaler connection.

Connecting with ServiceNow AI Agent Studio via AI Gateway.

Explore the Controls section on the configurations page of the AI Control Tower.

Use the  AI Service Graph Connector for n8n  to discover AI assets such as AI systems, models, prompts, and tools well as usage data for these AI agents. This usage information is consumed by the AI Control Tower value dashboard.

Creating a API key in n8n environment using your n8n instance.

Use the AI Control Tower workspace to create a connection alias for asset discovery for AWS.

Use the AI Control Tower workspace to create a connection alias for asset discovery for Azure Foundry.

Use the AI Control Tower workspace to create a connection alias for usage for AWS

Use AI Control Tower workspace to create a HTTP(s) connection for asset discovery for AWS.

Use the AI Control Tower workspace to create a HTTP(s) connection for Azure Foundry.

Use the AI Control Tower workspace to create a HTTP(s) connection for usage for AWS.

Use the AI Control Tower workspace to create a hyperscaler connection for asset discovery from AWS.

Use the AI Control Tower workspace to create a hyperscaler connection for asset discovery from Azure Foundry.

Use the AI Control Tower workspace to create a hyperscaler connection for usage from AWS.

Use the Create New Issue form to identify and manage issues related to the impacted areas for the reported AI case.

Create a Playbook workflow in AI Control Tower for Now Assist approvals to approve or reject an asset.

Create a change request to modify the relationships between a deployed AI asset and its related assets.

Create an offboarding request to retire AI assets that are no longer needed.

Create an AI case in the AI Control Tower by providing a detailed description, such as system behavior, affected users, and any relevant data. Ensure all necessary information, such as supporting attachments, is included for prompt resolution.

Create an AI connection for Amazon in AI Control Tower using the AI Service Graph Connector for Amazon.

Create an AI connection for Azure Foundry in AI Control Tower using the  AI Service Graph Connector for Microsoft.

Create an AI connection for Copilot in AI Control Tower using the  AI Service Graph Connector for Microsoft.

Create an AI connection for IBM in AI Control Tower using the  AI Service Graph Connector for IBM.

Use the AI Service Graph Connector for LangGraph plugin to create AI connections to discover AI assets such as AI systems, models, prompts, and tools as well as usage data for these agents. This usage information is consumed by the AI Control Tower value dashboard.

Create an AI connection for OCI in AI Control Tower using the  AI Service Graph Connector for OCI.

Use the AI Service Graph Connector for Salesforce plugin to create AI connections to discover AI assets such as AI systems, models, prompts, and tools as well as usage data for these AI agents in AI Control Tower. This usage information is consumed by the AI Control Tower value dashboard.

Create an AI connection for GCP Vertex AI in AI Control Tower using the  AI Service Graph Connector for GCP Vertex AI.

Create AI assets to track and manage the life cycles of your AI models.

Create AI assets to track and manage the life cycles of your AI systems.

Connecting with a Microsoft Copilot Studio via AI Gateway.

Identify and manage issues related to the impacted areas for the reported AI case in the AI Control Tower.

Create an API Key for the AI Connector to authenticate with LangGraph.

Use the AI Control Tower workspace to create an AWS credential for asset discovery.

Use the AI Control Tower workspace to create an AWS credential for usage.

Create an Now Assist approval task to evaluate the assets. The Now Assist approval task is a sub task of an approval request where you will need approvals from other organizations or entities like Legal review, Security review, Data review, Piracy review etc.

Create AI assets to track and manage the life cycles of your datasets.

Use the AI Control Tower workspace to create a hyperscaler connection for usage data from Azure Foundry.

Use the Create New AI case form in the AI Control Tower to report an AI case with the necessary details.

Create AI assets to track and manage the life cycles of your prompts.

Add a value template to define, calculate, and track the value delivered by an AI asset.

You can manage deployed AI assets effectively by creating change requests for updates to existing assets or by creating offboarding requests for retiring assets.

You can create AI assets to track and manage the life cycles of your AI systems, AI models, prompts, and datasets.

Explore the Data sharing, Data processing, and Security & privacy sections.

Explore AI asset inventory, and AI assets.

Edit a value template to update how value is calculated for AI assets.

Enable or disable the management of an AI asset by designating it as either managed or unmanaged.

Explore Enterprise AI discovery, its key benefits, and capabilities.

The AI Control Tower application and the AI Risk and Compliance application play a critical role in managing and governing the responsible use of AI systems, especially in high-stakes domains such as banking and finance.

Explore the AI model providers section in AI Control Tower.

Explore the Approvals section on the Configurations page of AI Control Tower.

Explore and learn about the AI Control Tower and its role in managing the AI asset inventory, overseeing configurations, integrating with other applications, and handling the asset approval workflow.

Explore the AI Control Tower Configurations page to manage and govern ServiceNow AI assets.

Explore all the scenarios for configuring third party LLMs and SLMs based on the regions.

Use the  AI Service Graph Connector for GCP Vertex AI plugin to create AI connections to discover AI assets such as AI systems, models, prompts, and tools as well as usage data for these AI agents in AI Control Tower. This usage information is consumed by the AI Control Tower value dashboard.

Explore the hyperscaler connection procedure with AWS.

Explore the hyperscaler connections with Azure.

You can view all the assigned and unassigned inquiries in a list view in the AI Control Tower.

Use the  AI Service Graph Connector for LangGraph to discover AI assets such as AI systems, agents, models, tools, and prompts and well as usage data for these AI agents. This usage information is consumed by the AI Control Tower value dashboard.

Setting up AI Gateway tab and creating MCP Client Registration.

Use the  AI Service Graph Connector for Microsoft  plugin to create AI connections for Azure Foundry and Copilot to discover AI assets such as AI systems, models, prompts, and tools as well as usage data for these AI agents in AI Control Tower. This usage information is consumed by the AI Control Tower value dashboard.

The multi-instance setup enables a prod (manager) instance to control, manage, and communicate with multiple sub-prod (managed) instances for AI Control Tower.

The My overview tab in the AI Control Tower home page displays all active assets to the asset owner and the AI stewards for assets that they manage or own.

Use the  AI Service Graph Connector for n8n to create AI connections to discover AI assets such as AI systems, models, prompts, and tools as well as usage data for these AI agents.

Explore the syncing process of AI assets including models, datasets, prompts, skills, and agentic AI components into the AI Asset Inventory of AI Control Tower.

Explore the overview tab in AI Control Tower and the widgets available on the tab.

Connecting to AWS from ServiceNow for a hyperscaler connection.

Explore the MCP server approval workflow.

The Playbook templates list has a record of Approval Playbook for Now Assist approvals and Asset lifecycle playbook templates.

Explore the process flow of configuring and introducing MCP servers via AI Gateway in AI Control Tower.

Explore the product owner view and navigate through the accessible tabs on AI Control Tower to ensure a comprehensive understanding of the features.

Service Graph Connector for n8n properties control the behavior of the connector.

System properties for AI Service Graph Connector for Microsoft (Azure Foundry specific).

The Risk and compliance tab on the AI Control Tower displays the risk classification of AI assets and the compliance posture for selected authority documents and policies.

Certain roles are installed along with the installation of the AI Control Tower.

The AI Risk and Compliance application installs the essential role to perform respective day-to-day operational tasks for managing AI systems across the enterprise.

Use the  AI Service Graph Connector for Salesforce to discover AI assets such as AI systems, agents, models, tools, and prompts and well as usage data for these AI agents. This usage information is consumed by the AI Control Tower value dashboard.

Review AI security metrics such as access issues, dormant and privileged AI agents, and map the relationships of your ServiceNow agents, agentic workflows, and tools.

You can use Service Graph Connectors (SGC)  to import and integrate third-party data into  CMDB  and non-CMDB  tables to create AI connections.

Configuring the IAM user in the AWS console.

Certain Tables or fields are installed along with the activation of the AI Control Tower core plugin.

Target tables for storing Service Graph Connector for LangGraph data.

When you complete setting up the connection, you can configure the integration to periodically pull data from a n8n project. The data is saved in tables that extend from the CMDB CI classes and other non-CMDB classes.

Target tables for storing Service Graph Connector for Azure and copilot data.

Explore the inter-dependencies of AI systems, AI models, and datasets.

Use AI discovery setup on AI Control Tower to create hyperscaler connections.

Use AI Control Tower for creating governance workflows.

Learn how to use the Access map in AI Control Tower.

Use value templates to define, calculate, and track the value delivered by your AI systems and models.

View the AI asset governance details to track the lifecycle's status, phase, and the install status.

View AI assets based on the AI asset life-cycle stage that they are currently in. Use this information to determine which AI assets require your attention.

Explore the MCP server record and its associated tabs.