Content insights AI agent

Australia Enable AI
Release
australia
ft:locale
en-US
ft:publication_title
Australia Enable AI
ft:clusterId
platai
bundleId
platai
workflow
Platform
  • Enable AI experiences
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  • ServiceNow AI implementation
  • ServiceNow AI organization and tools
  • AI governance
  • Data readiness
  • Application readiness
  • Knowledge Base readiness
  • Service Catalog readiness
  • AI Search readiness
  • ServiceNow Otto for Virtual Agent readiness
  • Solving installation and configuration issues
  • AI assets
  • AI assets on by default
  • Skills
  • Skills in the Platform workflow
  • Article optimization
  • Catalog item form slot-fill
  • Conversational Help
  • Extract information from documents
  • Knowledge content recommendation
  • Navigation
  • Standard Ticket Page
  • Potential knowledge gaps
  • Requester Approval Checklist
  • Smart Documents
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  • In-product agentic AI
  • Enable the in-product experience
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  • Classify tasks
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  • Generate my work plan
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  • Help optimize team productivity
  • Identify escalation signals
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  • Investigate problems
  • Process images for new tasks
  • Propose survey responses
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  • Issue Readiness AI agent
  • Request status AI agent
  • Domain Separation AI agent
  • Large language models on the ServiceNow AI Platform
  • Now LLM Service updates
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  • Long term stable models
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  • Providers and Models
  • AI Admin Hub
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  • Overview tab in AI Admin Hub
  • ServiceNow Otto Experiences
  • ServiceNow Otto panel
  • Standard chat
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  • Email recommendations using the ServiceNow Otto context menu
  • Summarize records with the ServiceNow Otto context menu
  • Improve Docs content in Strategic Portfolio Management with ServiceNow Otto context menu
  • Generate KB article with ServiceNow Otto context menu
  • ServiceNow Otto context menu usage dashboard
  • Use ServiceNow Otto context menu for custom skill deployment
  • Create ServiceNow Otto context Menu configuration
  • Create multiple ServiceNow Otto context menu skill configurations
  • Analyzing AI performance
  • Exploring AI Analytics
  • Configuring AI Analytics
  • Installing AI Analytics
  • Map a skill to a dashboard
  • Using AI Analytics
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  • Skill details
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  • Configure multilingual service for ServiceNow Otto applications
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  • Microsoft Azure OEM for Dynamic Translation in Now Assist
  • Data sharing and processes
  • Configure Now Assist privacy policies
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  • Review Now Assist account
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  • Create alert rule
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  • Now Assist suite
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  • Configure disambiguation
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  • Configure processing messages
  • Using AI Admin Hub
  • AI skill details
  • Activate an AI skill
  • Configure chat summarization and chat reply recommendation skills
  • Configure email reply recommendation
  • Edit an AI skill
  • Make a copy of AI skill
  • Configure case or incident summarization in the AI Admin Hub console
  • Archive an AI skill
  • Analyzing generative AI usage
  • AI Admin Hub reference
  • Default and target model version
  • Domain separation in the AI Admin Hub console
  • Fetch end points in Now Assist Conversational Help skills
  • AI Admin Hub roles
  • User data usage policy
  • Troubleshoot an AI skill
  • Now Assist panel system properties
  • Generative AI Controller
  • Exploring Generative AI Controller
  • Domain separation and Generative AI Controller
  • Configuring Generative AI Controller
  • Installing Generative AI Controller
  • Configuring API credentials for generative AI capabilities
  • Amazon Bedrock
  • Configure API credentials for Azure OpenAI
  • Configure API credentials for Google AI Studio
  • Create API credentials for Google Vertex AI
  • Configure API credentials for IBM watsonx
  • Configure API credentials for OpenAI
  • Configure API credentials for a generic large language model (LLM) connector
  • Configure a generic large language model (LLM) connector
  • Set a provider for a generative AI capability
  • Select a model for Amazon Bedrock
  • Configure small talk filters
  • Configure AI search answers capability for web search
  • Enable recursive summarization for large inputs
  • Enable Dynamic Translation for capabilities in Generative AI Controller
  • Disable Dynamic Translation for LLM Virtual Agent conversations
  • Configure rate limiting for providers
  • Bring your own key for third-party AI provider integration
  • Configure a custom resource path for BYOK models
  • Reference for Generative AI Controller
  • Generative AI Controller tables
  • AI Agent Studio
  • Explore
  • AI Agent Studio overview
  • Understand AI agents
  • AI agents best practices
  • AI agents capabilities
  • Writing effectively for agentic AI
  • Example AI agent
  • Example agentic workflow
  • Group Action Framework
  • Version control
  • Security for AI agents
  • Role masking
  • ACLs, role masking, and user identities
  • Deny-by-default ACL configuration
  • AI agent learning
  • Configure
  • Install ServiceNow Otto AI Agents
  • Set up AI agents
  • Enable AI Guardian
  • Select the model provider
  • Set up long-term memory
  • Long-term memory categories for AI Agents
  • Create a long-term
  • Map a long-term memory category to an AI agent
  • GAF
  • Set up AI Search for GAF
  • Multiple conversations
  • Citations in AI agents
  • Hide citations
  • Follow-up conversations
  • Usage, failure, and latency notifications
  • Create an AI agent
  • Find AI agents
  • Define the specialty
  • Add tools and information
  • AI skill
  • Catalog item
  • Conversational topic
  • Add defined desktop action for desktop and web-based tasks
  • File upload
  • Flow action
  • Knowledge Graph
  • Record operation
  • Script
  • Search retrieval
  • Subflow
  • Web search
  • Define security controls
  • Add a trigger
  • Kill Switch
  • 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
  • External agents with Agent2Agent
  • A2A API Key credential behavior
  • 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 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 (Audio Connector)
  • Integrate voice assistant with Genesys (SIP)
  • Integrate voice assistant with 3CLogic
  • Integrate voice assistant with Amazon Connect
  • Integrate voice assistant with Five9
  • Integrate voice assistant with Nice CXone
  • Integrate voice assistant with mobile app launcher
  • Test AI voice agents
  • Test a voice assistant from Assistant Designer
  • Test a voice agent from AI Agent Studio
  • AI voice agent analytics
  • AI voice agent reference
  • Evaluate agentic AI assets
  • Explore
  • Guidelines for evaluations
  • Evaluate
  • Getting started
  • FAQs
  • Grounding document for AI voice agents
  • Execute a run
  • Execute a run for an AI voice agentic asset
  • Generate conversations
  • Track and monitor
  • Review results
  • Review issues
  • Analyze traces
  • Apply optimizations and reevaluate
  • Troubleshoot
  • Create a custom metric
  • Reference
  • Increase maximum inbound content length for scripted REST APIs
  • Parser tool
  • Run results page
  • Examples of using AI agents
  • Resolve an incident
  • Review and update tickets
  • Reference
  • Domain separation
  • AI Agent Analytics dashboard
  • Run results page
  • Troubleshooting Group Action Framework
  • 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
  • Add MCP server with OAuth 2.1
  • MCP Server with API Key
  • MCP Server Others
  • Add Model Context Protocol tool
  • Test an AI agent
  • Model Context Protocol Client reference
  • AI Agent Advisor
  • Explore
  • Supporting information
  • Configure
  • Confirm installation
  • Setting up automation opportunity discovery
  • Use
  • Reference
  • Components installed with AI Agent Advisor
  • Roles
  • AI Admin Center
  • Explore
  • AI Admin Center workspace
  • Side navigation bar
  • Home page
  • ServiceNow Otto panel
  • AI readiness assessments
  • AI Agent Advisor
  • Supporting information
  • Configure
  • Confirm installation of AI Admin Center
  • Enable the ServiceNow Otto panel
  • Setting up automation opportunity discovery
  • Set up a data source
  • Edit a data source
  • Deactivate a data source
  • Activate a deactivated data source
  • Use
  • Using the ServiceNow Otto panel conversational experience
  • Self-healing AI agent
  • AI Admin Center help AI agent
  • AI Analytics Q and A agent
  • Activating actionable use cases
  • Install and configure AI plugins
  • Activate an actionable use case
  • Using AI readiness assessments
  • Run the AI readiness assessment job in AI Admin Center
  • View your AI readiness assessment
  • Using AI Agent Advisor in AI Admin Center
  • View your automation opportunities
  • Implement an automation opportunity
  • Edit an AI agent
  • Using the asset inventory
  • View your AI assets
  • Create an AI asset
  • Using other AI applications from AI Admin Center
  • Using AI Admin Hub features
  • Configure AI settings
  • Use AI Data Kit features
  • Use AI Guardian features
  • Monitor
  • Monitor your recently activated AI solution
  • View AI assets usage and performance
  • AI Admin Center Overview
  • AI Admin Center Performance Explorer
  • AI Admin Center Auto Eval
  • AI Admin Center Business Value
  • Add a value configuration
  • Reference
  • Components installed with AI Admin Center
  • Domain separation
  • Glossary
  • Roles
  • AI Data Kit
  • Exploring AI Data Kit
  • Configuring AI Data Kit
  • Install AI Data Kit
  • Using AI 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
  • AI Data Kit reference
  • AI Data Kit roles (sn_data_kit.analyst)
  • AI Data Kit roles (sn_data_kit.admin)
  • AI Skill Kit
  • Exploring AI Skill Kit
  • General guidelines for AI Skill Kit
  • Scoping the skill
  • Creating a dataset using AI Skill Kit
  • Developing the prompt
  • Evaluating the prompt
  • Deploying and monitoring the skill
  • Example use case for AI Skill Kit
  • Configuring AI Skill Kit
  • Configure a skill prompt
  • Configure skill deployment settings
  • Configure security controls for a skill
  • Using AI Skill Kit
  • Create a skill
  • Clone a skill
  • Create a prompt
  • Add a tool
  • Add a retriever
  • Retriever chunking and reranking
  • Add a web search tool
  • Use prompt assistance
  • Test a prompt
  • Evaluate a prompt
  • Finalize and publish a skill
  • Activate a skill
  • Call a custom skill from a script
  • AI Skill Kit reference
  • Document Intelligence in AI Skill Kit
  • AI Skill Kit roles
  • Field of use for AI Skill Kit
  • Web search custom skill
  • AI Control Tower
  • Explore
  • AI portfolio overview
  • Activity Center
  • Recommendations and AI insights
  • ServiceNow Otto in AI Control Tower
  • Configure
  • Activating AI Control Tower
  • Guided setup
  • Access guided setup
  • Guided setup areas
  • Configure users and roles
  • Configuring integrations
  • Configuring Connectors
  • Service Graph Connector for AI Control Tower
  • Configuring trace connections
  • Add an AWS CloudWatch trace connection
  • Add an Azure trace connection
  • Add a GCP Cloud Trace connection
  • Troubleshoot a trace connection
  • Edit a trace connection
  • Deactivate a trace connection
  • Configuring Multi-instance
  • Request a Manager instance
  • Configuring security connections
  • Add an AWS Bedrock or AWS Bedrock Agent Core connection
  • Add a GCP Vertex AI connection
  • Add a ServiceNow Agents connection
  • Add an Okta connection
  • Configuring rules and templates
  • AI Control Tower playbooks
  • Configure ServiceNow AI settings
  • Creating or extending pages with pro-code tools
  • Plan your AI strategy
  • Plan AI strategy, prioritize, and execute
  • Explore
  • Configure
  • Use
  • Strategize AI plan
  • Edit a strategize record
  • Prioritize AI plan intake
  • Create an intake record
  • Manage intake records
  • Monitor AI Plan execution
  • Create a project or epic in AI Control Tower
  • Edit a project or epic in AI Control Tower
  • Reference
  • Components installed with AI Control Tower for SPM
  • Demand form
  • Epic form
  • Feedback form
  • Goal form
  • Project form
  • Product idea form
  • Strategic Priority form
  • Target form
  • Discover and manage AI assets
  • Discovering assets through Connectors
  • Managing your AI asset inventory
  • Creating AI assets manually
  • Create AI system assets
  • Create AI model assets
  • Create prompt assets
  • Create dataset assets
  • Reviewing duplicate AI assets
  • Action performed on duplicates
  • Managed and unmanaged AI assets
  • Move assets to managed
  • Move assets to unmanaged
  • Managing AI assets in bulk
  • Create an automation rule
  • Edit an automation rule
  • Evaluating AI systems
  • Enable evaluation for an AI system
  • Disable evaluation for an AI system
  • External Registries
  • Publish AI agents
  • Working with AI asset records
  • Reviewing AI asset status
  • Recommendations for your AI assets
  • Managing AI asset details
  • Update use and purpose
  • Use and purpose fields
  • Trace AI asset relationships
  • Managing your AI asset lifecycle
  • Create change requests for AI assets
  • Create offboarding requests for AI assets
  • Planning strategy and execution for an AI system
  • Governing AI asset risk and compliance
  • Monitoring an AI system
  • Review scores for an AI system
  • Viewing value metrics for an AI system
  • Viewing templates associated with an AI system
  • Governing AI asset security
  • Govern AI assets
  • Managing risk and compliance
  • Explore
  • Configure
  • Governance posture and compliance
  • Reviewing regulatory classification and compliance status
  • AI risk posture
  • Reference
  • Terminology
  • Governance records
  • Managing AI asset security
  • Explore
  • Basic concepts
  • AI agent containment using kill switch protocol
  • Configure
  • Configure overview security metrics
  • Configure Veza access intelligence in the agent map
  • Activate design-time security metrics
  • Configure runtime security metrics
  • Configure post-runtime security metrics
  • Configure the AI asset security score
  • Configure AI agent containment
  • Update system property to limit records
  • Discover your agent network with the map
  • Monitor AI asset security events and recommendations
  • Manage AI agents using kill switch protocol
  • Review the kill switch protocol log
  • Reference
  • System properties
  • Monitor AI assets
  • Monitor and evaluate AI systems
  • Explore
  • Sessions, traces, and spans
  • How evaluation scoring works
  • Evaluation scoring examples
  • Monitoring and value
  • Configure
  • Activate evaluation scoring for ServiceNow AI systems
  • Activate evaluation scoring for external AI systems
  • Configure an evaluation metric template
  • Review scores
  • Monitoring overview
  • Review scores across your AI portfolio
  • Investigate sessions
  • Evaluated sessions
  • Session details
  • Investigate a low-scoring session
  • Reference
  • Evaluation metrics
  • Measure AI impact
  • Measure AI impact and value
  • Explore Value
  • Value templates
  • Cost Framework
  • Configure
  • Create a value template
  • Value template form
  • Edit a value template
  • Map AI asset to template
  • Configure AI system mapping
  • Configure default template rules
  • Configure cost framework
  • Configure hourly rates in cost framework
  • Value dashboard
  • Engagement dashboard
  • ServiceNow AI dashboard
  • Value
  • Engagement
  • Creator skills
  • Evaluation
  • Conversation evaluation
  • Impact evaluation
  • Reference
  • Address action items
  • Manage tasks and approvals
  • Lifecycle tasks
  • Complete a lifecycle task
  • Security tasks
  • Resolve a security task
  • Change and offboarding requests
  • Review and approve a change request
  • Review and approve an offboarding request
  • AI cases
  • Create an AI case
  • Risk assessments
  • Issues
  • Create an issue
  • Attestations
  • Policy exceptions
  • Create a policy exception
  • AI inquiries
  • Create an AI inquiry
  • Resolve recommendations
  • Resolve an AI recommendation
  • Reference
  • Installed components
  • GenAI plugin agents and skills inventory
  • AI Control Tower email notifications
  • System properties
  • AI Control Tower (legacy)
  • Explore
  • 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
  • Evaluation tab
  • Value tab
  • Human feedback for evaluations
  • Enabling evaluations
  • Configuring evaluations
  • Security & privacy tab in AI Control Tower
  • AI assets
  • AI asset inventory
  • Manage AI assets list
  • AI assets- Managed and Unmanaged
  • View AI asset record details
  • Publish ServiceNow agents to Microsoft Agent 365
  • AI asset lifecycle
  • Approvals
  • Cases
  • Inquiries
  • AI strategies and goals
  • AI Task
  • Configurations
  • Data sharing, processing, and security in AI Control Tower
  • Controls
  • Explore Approvals
  • Explore AI model providers
  • Automation rules
  • Multi-Instance Setup
  • Playbooks
  • Automation rules
  • 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 the third-party LLMs and regions
  • Explore Now Assist AI asset discovery
  • AI connections
  • AI connections setup
  • Service Graph Connectors for AI Control Tower
  • Anthropic
  • Create an AI connection for Anthropic
  • AWS
  • Create an AI connection for Amazon (v2.0.2)
  • Create an AI connection for Amazon (v2.1.2)
  • AWS APIs
  • Databricks
  • Create an AI connection for Databricks
  • GCP Vertex AI
  • Create an AI connection for GCP Vertex AI (v1.2.4)
  • Hugging Face
  • Create an AI Connection for Hugging Face
  • IBM
  • Create an AI connection for IBM
  • IBM APIs
  • Data mapping
  • Target CMDB classes
  • Properties
  • LangGraph
  • Create an AI connection for LangGraph
  • LangGraph APIs
  • Target Tables
  • Microsoft
  • Create an AI connection for Azure AI Foundry (v2.0.1)
  • Create an AI connection for Azure AI Foundry (v3.0.0)
  • Create an AI connection for Azure Foundry (v 3.1.7)
  • Properties of Azure Foundry
  • Create an AI connection for Copilot Studio (v2.0.1)
  • Create an AI connection for Copilot Studio (v3.0.0)
  • Create an AI connection for Copilot Studio (v3.1.7)
  • Create a Copilot Studio Dataverse custom role
  • Azure and Copilot APIs
  • Target Tables
  • Moveworks
  • Create an AI connection for Moveworks
  • n8n
  • Create an AI connection for n8n
  • Properties for n8n
  • Target Tables
  • OCI
  • Create an AI connection for OCI
  • OCI APIs
  • Data mapping
  • Target CMDB classes
  • OpenAI
  • Create an AI connection for OpenAI
  • Salesforce
  • Create an AI connection for Salesforce
  • Salesforce APIs
  • Snowflake
  • Create an AI connection for Snowflake
  • Snowflake Statements API Reference
  • AI Risk and Compliance lifecycle tasks in AI Control Tower
  • Configure
  • 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
  • Use
  • Create an AI Control Tower Playbook workflow
  • Create a ServiceNow Otto 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
  • Enable or disable the management of an AI asset
  • Complete AI asset lifecycle
  • 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
  • Create an Automation rule
  • Reference
  • Add value template form
  • AI Control Tower roles
  • AI Control Tower email notifications
  • 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
  • Knowledge Graph integration with MCP server
  • Natural language queries use cases and examples
  • Workflow Data Fabric integration with Knowledge Graph
  • Configuration item relationships and 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
  • Improving Natural Language Queries with Tag configuration
  • Create Knowledge Graph tag
  • Managing 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
  • Graph Query Builder
  • Access Graph Query Builder
  • Build a query in Graph Query Builder
  • Build a query using natural language in Graph Query Builder
  • Save and reuse a query in Graph Query Builder
  • Reference for Knowledge Graph
  • Knowledge Graph roles
  • Knowledge Graph Admin [kg_admin]
  • MCP Server Console
  • Explore
  • Configure
  • Create a server
  • Create a tool
  • Create a tool from Subflow
  • Create a tool from Action
  • Create a tool from Knowledge Graph
  • Create a tool from REST API
  • Create a tool from Now Assist skill
  • Create an app
  • Connect
  • Create an OAuth inbound integration for an MCP client
  • Configure an MCP client to connect to an MCP server
  • Integrating MCP server with third-party identity providers
  • ServiceNow(Glide) configuration for IDP
  • Integrate and test IDP with MCP server
  • Reference
  • Now Assist skill support in MCP Server Console
  • Installed components
  • Check compatibility of Subflow or Action
  • Create AI ACL
  • Model Context Protocol Server Console tools
  • Domain separation and MCP Server Console
  • AI Readiness Evaluation
  • Explore
  • Configure
  • Run the GenAI/AgenticAI Assessment scheduled job
  • Configure the AI Readiness Evaluation guided setup
  • Run individual assessment scheduled jobs
  • Use
  • Using AI Readiness Evaluation dashboard
  • Agentic AI - Assessment dashboard tab
  • AI Assessment dashboard tab
  • Assessing readiness status
  • Reviewing your AI assessment
  • Reviewing your Agentic AI assessment
  • Reference
  • AI 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
  • AI Desktop Actions
  • Explore
  • Defined desktop actions for desktop
  • Design workspace
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Use Content insights AI agent

  • Release version: Australia
  • Updated August 7, 2026
  • 1 minute to read

    • Use the Content Insights AI agent to generate information from your inputs, attached documents, or images

    Use the Content insights AI agent to:
    • Ask questions about documents and images
    • Extract key information from documents
    • Summarize documents and images
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