Configuring AI Control Tower workflow

Australia Enable AI
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australia
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fr-FR
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Australia Enable AI
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platai
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workflow
Platform
  • Enable AI experiences
  • ServiceNow AI implementation
  • Now Assist organization and tools
  • AI governance
  • Data readiness
  • Application readiness
  • Knowledge Base readiness
  • Service Catalog readiness
  • AI Search readiness
  • Now Assist in Virtual Agent readiness
  • Solving installation and configuration issues
  • Now Assist AI assets
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  • Skills in the Platform workflow
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  • Potential knowledge gaps
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  • In-product agentic AI
  • Enable the in-product experience
  • Platform agentic workflows
  • Analyze task trends
  • Classify tasks
  • Generate my work plan
  • Generate resolution plan
  • Identify ways to improve service
  • Investigate problems
  • Process images for new tasks
  • Propose survey responses
  • Platform AI agents
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  • Large language models on the ServiceNow AI Platform
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  • Long term stable models
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  • Providers and Models
  • Now Assist AI agents
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  • Understand the Now Assist AI agents
  • AI agents best practices
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  • Example AI agent
  • Example agentic workflow
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  • Configure
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  • Set up long-term memory
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  • Set up AI Search for GAF
  • Multiple conversations
  • Citations in Now Assist AI agents
  • Hide citations
  • Follow-up conversations
  • Usage, failure, and latency notifications
  • Role masking
  • Create an AI agent
  • Find AI agents
  • Define the specialty
  • Add tools and information
  • Catalog item
  • Conversational topic
  • Desktop action
  • File upload
  • Flow action
  • Knowledge Graph
  • Now Assist skill
  • Record operation
  • Script
  • Search retrieval
  • Subflow
  • Web search
  • Define security controls
  • Add a trigger
  • Select channels and status
  • Duplicate an AI agent
  • Modify an AI agent
  • Test execution manually
  • Test user access
  • Delete an AI agent
  • Create an external agent
  • Integrating external AI agents
  • ServiceNow AI agents as secondary agents
  • Manual integration
  • Agent2Agent
  • Create an agentic workflow
  • Define key requirements
  • Define security controls
  • Add a trigger
  • Select channels and access
  • Duplicate an agentic workflow
  • Activate an agentic workflow template
  • Modify an agentic workflow
  • Test execution manually
  • Test user access
  • Delete an agentic workflow
  • Deploy AI voice agents
  • Install Now Assist AI voice agents
  • Create an AI voice assistant
  • Configure custom assistant
  • Create an AI voice agent
  • Integrating voice assistant with CCaaS provider
  • Integrate voice assistant with Twilio
  • Integrate voice assistant with Genesys
  • Integrate voice assistant with mobile app voice launcher
  • AI voice agent analytics
  • AI voice agent reference
  • Evaluate agentic AI
  • Create a custom metric
  • Agentic evaluation parser tool
  • Guidelines for evaluations
  • Examples of using AI agents
  • Resolve an incident
  • Review and update tickets
  • Reference
  • Domain separation
  • AI Agent Analytics dashboard
  • Agentic evaluation run results
  • Model Context Protocol Client
  • Exploring Model Context Protocol Client
  • Configuring Model Context Protocol Client
  • Install Model Context Protocol Client
  • Adding an MCP Server in AI Agent Studio
  • MCP Server with OAuth 2.1
  • MCP Server with API Key
  • MCP Server Others
  • Model Context Protocol tool
  • Test an AI agent
  • Model Context Protocol Client reference
  • Now Assist Data Kit
  • Exploring Now Assist Data Kit
  • Configuring Now Assist Data Kit
  • Install Now Assist Data Kit
  • Using Now Assist Data Kit
  • Add a dataset
  • Create a derived dataset
  • Generate synthetic data
  • Select the sample data
  • Define columns to generate data
  • Add a ground truth to each dataset record
  • View data insights
  • Find and cleanse sensitive data
  • Now Assist Data Kit reference
  • Now Assist Data Kit roles (sn_data_kit.analyst)
  • Now Assist Data Kit roles (sn_data_kit.admin)
  • Now Assist Skill Kit
  • Exploring Now Assist Skill Kit
  • General guidelines for Now Assist Skill Kit
  • Scoping the skill
  • Creating a dataset using Now Assist Skill Kit
  • Developing the prompt
  • Evaluating the prompt
  • Deploying and monitoring the skill
  • Example use case for Now Assist Skill Kit
  • Configuring Now Assist Skill Kit
  • Configure a skill prompt
  • Configure skill deployment settings
  • Configure access control
  • Using Now Assist Skill Kit
  • Create a skill
  • Clone and edit a ServiceNow skill
  • Create a prompt
  • Add a tool
  • Add a retriever
  • Retriever chunking and reranking
  • Add a web search
  • Use prompt assistance
  • Test a prompt
  • Evaluate a prompt
  • Finalize and publish a skill
  • Activate a skill
  • Call a custom skill from a script
  • Now Assist Skill Kit reference
  • Now Assist Skill Kit roles
  • Field of use for Now Assist Skill Kit
  • Web search custom skill
  • AI Control Tower
  • Exploring AI Control Tower
  • AI Control Tower dashboard
  • AI Control Tower Home
  • Overview tab
  • AI strategy tab in AI Control Tower
  • AI asset inventory tab in AI Control Tower
  • Value tab in AI Control Tower
  • Adoption tab in AI Control Tower
  • Health tab
  • Risk and compliance tab in AI Control Tower
  • AI cases tab in AI Control Tower
  • Security & Privacy tab in AI Control Tower
  • AI Gateway tab
  • AI assets
  • AI asset inventory
  • Assets list- managed and unmanaged assets
  • View AI asset details
  • Evaluation in the Virtual Agent's asset record
  • AI asset lifecycle
  • Approvals
  • Cases
  • Inquiries
  • AI strategies and goals
  • AI Task
  • Configurations
  • Data sharing, Data overflow processing, and Security & privacy in AI Control Tower
  • Controls
  • Explore Approvals
  • Explore AI model providers
  • Multi-instance Setup
  • AI Gateway
  • Playbooks
  • Product Owner portal
  • My overview tab
  • AI portfolio tab
  • Definitions of AI asset inventory
  • AI systems
  • Example of an AI system
  • AI models
  • Prompts
  • Datasets
  • Inter-dependencies
  • Explore Third-party LLMs and regions
  • Explore Now Assist AI asset discovery
  • Enterprise AI discovery: Unlock Visibility, Governance & Value
  • AI connections
  • Service Graph Connectors for AI Control Tower
  • AWS
  • Create AI connection for Amazon
  • GCP Vertex AI
  • Create AI connections for GCP Vertex AI
  • LangGraph
  • Create an API Key for LangGraph
  • Create AI connection for LangGraph
  • APIs used for LangGraph connector
  • Target tables for LangGraph
  • Microsoft
  • Create AI connection for Azure Foundry
  • Properties of Azure Foundry
  • Create AI connection for Copilot
  • APIs used by Microsoft- Azure & Copilot
  • Target tables for Microsoft
  • n8n
  • Create an API Key in n8n environment
  • Create an AI connection for n8n
  • Properties for n8n
  • Target tables for n8n
  • Salesforce
  • Create AI connection for Salesforce
  • AI Gateway
  • Process flow of MCP servers Via AI Gateway
  • Add an MCP server from AI Agent studio
  • Add an MCP server from AI Control Tower
  • MCP server approval request
  • Setting up for connections with AI Gateway
  • MCP server record
  • Add a Global MCP client
  • Connect to MCP servers Via AI Gateway
  • Connecting with Microsoft Copilot Studio Via AI Gateway
  • Configuring AI Control Tower workflow
  • Activation and installation of AI Control Tower
  • Configure AI Control Tower
  • Configure multi-instance management for AI Control Tower
  • Configure third-party LLMs using AI Control Tower
  • Using AI Control Tower
  • Create an AI Control Tower Playbook workflow
  • Create a Now Assist approval task
  • Creating AI assets
  • Create AI system assets
  • Create AI model assets
  • Create prompt assets
  • Create dataset assets
  • Creating requests for AI assets
  • Create change requests for AI assets
  • Create offboarding requests for AI assets
  • View AI assets by life-cycle stage
  • Complete AI asset lifecycle
  • Using AI Control Tower to create hyperscaler connections
  • Hyperscaler connection with Azure
  • Configure Azure portal
  • Connect to Azure from ServiceNow
  • Create a hyperscaler connection for asset discovery for Azure Foundry
  • Create a hyperscaler connection for usage data for Azure Foundry
  • Create a connection alias for Azure Foundry
  • Create a HTTP(s) connection for Azure Foundry
  • Hyperscaler connection with AWS
  • Configure AWS console
  • Configure IAM user
  • Configure an IAM for Agent discovery
  • Configure an IAM policy for execution monitoring
  • Configure CloudTrail and CloudWatch in the AWS Console
  • Connect to AWS from ServiceNow
  • Create a hyperscaler connection for asset discovery from AWS
  • Create a connection alias for asset discovery for AWS
  • Create a HTTP(s) connection for asset discovery for AWS
  • Create an AWS credential for asset discovery
  • Create a hyperscaler connection for usage from AWS
  • Create a connection alias for usage for AWS
  • Create a HTTP(s) connection for usage for AWS
  • Create an AWS credential for usage
  • Using value templates
  • Add a value template
  • Edit a value template
  • Create an AI case in the AI Control Tower
  • Create new AI case form
  • Create an AI issue in the AI Control Tower
  • Create new AI issue form
  • Using the access map
  • AI Control Tower reference
  • Add value template form
  • AI Control Tower roles
  • AI Risk and Compliance roles
  • Tables installed with AI Control Tower
  • AI asset data model attributes
  • Evaluation dashboard reference
  • Components installed with the Evaluation dashboard
  • Evaluation metrics and calculations
  • Evaluation flow
  • Evaluation flow for batch evaluations
  • Knowledge Graph
  • Exploring Knowledge Graph
  • Access Knowledge Graph Schema
  • Leverage Knowledge Graph prebuilt integration with Now Assist Virtual Agent and Now Assist Panel
  • Leverage Knowledge Graph prebuild integration with AI agents
  • Natural language queries use cases and examples
  • Workflow Data Fabric integration with Knowledge Graph
  • Configuring Knowledge Graph
  • Configure LLM for Knowledge Graph
  • Configure Microsoft OneDrive application for Knowledge Graph
  • Using Knowledge Graph Designer
  • Create a Knowledge Graph schema
  • Edit a Knowledge Graph schema
  • Manage nodes in a Knowledge Graph schema
  • Add or delete edges to a Knowledge Graph schema
  • Test a Knowledge Graph schema
  • Analyze Knowledge Graph logs for debugging
  • Create a copy of a Knowledge Graph schema
  • Using Enterprise graph schema
  • Tagging in Knowledge Graph Designer
  • Create and manage Knowledge Graph tags
  • Setting up Enterprise graph in sub-production instance
  • Initial setup for Enterprise Graph schema in production instance
  • Access Enterprise Graph schema
  • View and manage Enterprise Graph schema
  • Select multiple tables
  • Test an Enterprise Graph schema
  • Reference for Knowledge Graph
  • Knowledge Graph roles
  • Knowledge Graph Admin [kg_admin]
  • MCP Server Console
  • Explore
  • Configure
  • Create a server
  • Create a tool
  • Connect
  • Reference
  • Now Assist skill support in MCP Server Console
  • Installed components
  • Now Assist Readiness Evaluation
  • Explore
  • Configure
  • Run the GenAI/AgenticAI Assessment scheduled job
  • Configure the Now Assist Readiness Evaluation guided setup
  • Use
  • Using Now Assist Readiness Evaluation dashboard
  • Agentic AI - Assessment dashboard tab
  • Now Assist assessment dashboard tab
  • Assessing go or no-go
  • Reviewing your Now Assist assessment
  • Reviewing your agentic AI assessment
  • Reference
  • Now Assist Readiness Evaluation system properties
  • Natural Language Understanding
  • Exploring Natural Language Understanding
  • Activate the NLU Workbench
  • NLU Workbench roles
  • NLU Workbench properties
  • NLU language support
  • NLU Service updates
  • NLU models
  • Model management
  • Creating models
  • Create an NLU model from blank
  • Create an NLU model from a CSV file
  • Create an NLU model using a pre-built model
  • Duplicate an NLU model
  • Export an NLU model
  • Add an NLU model to an update set
  • Delete an NLU model
  • Build and train your model
  • NLU intents
  • Create an NLU intent
  • Reusing intents from prebuilt NLU models
  • Import an NLU intent
  • Resolve intent issues
  • NLU entities
  • Create a simple entity
  • Create a mapped entity
  • Create a pattern entity
  • Create a system-derived entity
  • Create an open-ended entity
  • Import entities
  • Using regular expressions in entities
  • NLU vocabulary
  • Create a regular vocabulary item
  • Create a pattern vocabulary item
  • Create a list vocabulary source
  • Create a table vocabulary source
  • Sync a table vocabulary source
  • Pre-built vocabulary
  • Test set creation and management
  • Train and try your NLU model
  • Test panel feedback
  • Test and publish your model
  • Test your model
  • Publish your NLU model
  • Compare draft and published versions of your NLU model
  • Irrelevance detection in NLU
  • Tune your model
  • NLU model settings
  • Multilingual model management
  • Model language grouping
  • Translate a multilingual model
  • Enable or disable a secondary model intent
  • Assign an NLU editor to a model
  • Import primary model content to a secondary model
  • Virtual Agent and NLU Workbench integration
  • NLU Workbench - Advanced Features
  • Install NLU Workbench - Advanced Features
  • Components installed with NLU Workbench - Advanced Features
  • Multi-model Batch Testing
  • Create a test set
  • Run a multi-model batch test
  • Cross-model Conflict Review
  • NLU Model Performance
  • NLU Expert Feedback Loop
  • Issue Auto Resolution Tuning in NLU
  • Issue Auto Resolution tuning options
  • Intent Discovery
  • Install Intent Discovery
  • Components installed with Intent Discovery
  • Natural Language Query
  • Exploring Natural Language Query
  • Using Natural Language Query
  • Configuring NLQ
  • Create an NLQ synonym
  • Create an NLQ shortcut
  • View NLQ logs
  • View NLQ Table Guesser logs
  • Natural Language Query References
  • NLQ properties
  • Natural Language Query roles
  • Agentic Desktop
  • Explore
  • Design workspace
  • Execution workspace
  • Supporting information
  • Configure
  • Download installer
  • Design desktop actions
  • Auto-capture steps
  • Manually capture steps
  • Add details
  • Test and activate
  • Screen, anchor, and step properties
  • Create AI Agents
  • Desktop action
  • Desktop action examples
  • Example: Badge management automation
  • Example: Shipping order processing
  • Execute desktop actions
  • Example: Automatically process badge-related requests
  • Example: Automatically enter data into the shipping management app
  • Reference
  • Components installed
  • System requirements and limitations
  • Predictive Intelligence
  • Explore Predictive Intelligence
  • Predictive Intelligence frameworks
  • ServiceNow apps and features that use Predictive Intelligence
  • Install Predictive Intelligence
  • Configure Predictive Intelligence
  • Database View support for Predictive Intelligence
  • Configuration tips for Predictive Intelligence
  • Create a custom stopwords list
  • Create a word corpus
  • Quick start tests for Predictive Intelligence
  • Activate solution version
  • Export trained solutions to production
  • Configuring advanced settings for your ML solutions
  • Configure class recall for a classification solution
  • Configure TF-IDF for solutions
  • Configure XGBoost for classification or regression solutions
  • Configure DBSCAN for a clustering solution
  • Configure HDBSCAN for a clustering solution
  • Configure Connect Component algorithm and Levenshtein Distance method for a clustering solution
  • Config parameters for model config in classification
  • Use LightGBM algo for classification model training
  • Minimum records needed for label to include it
  • Configure include only top N labels
  • Remove others label
  • Creating and training solutions
  • Create and train a classification solution
  • Exclude a class from prediction
  • Exclude a class from solution training
  • Tune a trained classification solution
  • Configuring target metrics for a trained classification solution
  • Using Group By for classification
  • Model Explainability
  • Create and train a similarity solution
  • Update your similarity score threshold
  • Create and train a clustering solution
  • Assign a name to a cluster
  • Generate a representative sample of a cluster
  • Apply purity on a clustering solution
  • Analyze a cluster with Cluster Insight
  • Create and train a regression solution
  • View solution training progress
  • Review classification solution statistics
  • Review solution similarity examples
  • Using Predictive Intelligence
  • Using Machine Learning APIs
  • Reviewing your ML solution training jobs
  • Use Predictive Intelligence in Workflow Studio with ML actions
  • Using MLSolutionFactory scriptable objects
  • Preserve ML solutions during a system clone
  • Testing and monitoring predictions
  • Test a classification solution prediction
  • Test a similarity solution prediction
  • Track classification prediction results over time
  • Reviewing prediction errors with the Observability Dashboard
  • Predictive Intelligence Usage Analytics dashboard
  • Predictive Intelligence references
  • Domain separation and Predictive Intelligence
  • Data Encryption in Predictive Intelligence
  • Predictive Intelligence language support
  • Predictive Intelligence properties
  • Predictive Intelligence roles
  • Now Assist in Document Intelligence
  • Explore
  • Use cases
  • Document Intelligence workspace
  • Supporting information
  • Configure
  • Activate a skill
  • Set up a use case
  • Turn on Full automation mode
  • Change the use case LLM
  • Edit a use case
  • Make a copy of a use case
  • Deactivate a use case
  • Delete a use case
  • Use
  • Review extracted information
  • Reference
  • Components installed
  • Data extraction modes
  • Document and visual insights AI agent
  • Field types
  • Forms
  • Question form
  • Field form
  • Table form
  • Limitations
  • LLMs
  • Supported languages
  • Document Intelligence
  • Explore
  • Configure
  • Set up DocIntel
  • Install DocIntel
  • Upgrade to version 3.0 or later
  • Configure settings
  • Set up document extraction use cases
  • Create a use case
  • Create a field
  • Deactivate a field
  • Configure data extraction modes
  • Manage document extraction use cases
  • Duplicate a use case
  • Export a use case
  • Import a use case
  • Delete a use case
  • Set up document classification use cases
  • Create a use case
  • Create a document class
  • Train a use case
  • Manage document classification use cases
  • Delete a use case
  • Manage field values
  • Integrate
  • Integrate with a custom application or workflow
  • Integrate with CSM
  • Integrate with FSO
  • Integrate with APO
  • Integrate with Automation Center
  • Use
  • Create a document task
  • Complete a document task
  • Extract fields
  • Extract fields using the draw tool
  • Classify documents
  • Monitor
  • View reports on the DocIntel home page
  • Document Intelligence monitoring dashboard
  • Use case performance dashboard
  • Reference
  • Components installed with DocIntel
  • Confidence scores
  • Data extraction modes
  • Data normalization
  • Document field statuses
  • DocIntel forms
  • Check box list form
  • Single field form
  • Single field group form
  • Table form
  • Properties
  • Roles
  • Terminology
  • Document task statuses
  • Domain separation
  • Supported languages
  • DocIntel limitations
  • Task Intelligence
  • Exploring Task Intelligence
  • Configure Task Intelligence
  • Install Task Intelligence Admin Console
  • Manage machine learning models with Task Intelligence
  • Create a Task Intelligence model
  • Edit a Task Intelligence model
  • Assess a Task Intelligence model
  • Assess field-level accuracy for multi-output models
  • Task Intelligence Analytics and Monitoring
  • Export a Task Intelligence model
  • Task Intelligence references
  • Task Intelligence roles
  • Languages supported by Task Intelligence
  • ServiceNow AI Lens
  • Explore
  • ServiceNow AI Lens features
  • Landing page overview
  • Supporting information
  • ServiceNow AI Lens skill
  • Configure
  • Activate the ServiceNow AI Lens skill
  • Download the ServiceNow AI Lens installer
  • Define default instructions
  • Creating Lens actions
  • Enabling ServiceNow AI Lens in Virtual Agent
  • Use
  • Create a record in an instance
  • Update a record from an instance
  • Autofill catalog item form in the Service Portal
  • Trigger ServiceNow AI Lens from the desktop app
  • Extract and analyze data with ServiceNow AI Lens desktop app
  • Extract and analyze data with ServiceNow AI Lens in Virtual Agent
  • Reference
  • Components installed
  • Field types supported
  • Limitations
  • Script include - AILensActionService
  • Conversation Insights
  • Exploring Conversation Insights
  • Install Conversation Insights
  • Conversation Insights reference
  • Components installed with Conversation Insights
  • Conversation Improvement Themes
  • Explore
  • Activate
  • Use
  • Reference
  • Components installed
  • Trobleshooting
  • Now Assist and Agentic AI glossary
  • Additional resources for AI products and solutions

Configuring AI Control Tower workflow

  • Rversion finale: Australia
  • Mis à jour 12 mars 2026
  • 1 minute de lecture

    • Configure the AI Control Tower workflow.

    Configuration overview

    1. Activation and installation of AI Control Tower
    2. Configure AI Control Tower
    3. Configure multi-instance management for AI Control Tower
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