AgentLab by ServiceNow is a low-code platform that empowers users to design, test, and deploy AI agents (digital workers) within the ServiceNow ecosystem. It features a drag-and-drop workflow builder, built-in LLM connectors, and direct access to ServiceNow data. Users can assemble conversational interfaces, automate approvals, query records, and integrate external APIs without deep coding, accelerating enterprise automation with governance and monitoring tools.
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AgentLab
AgentLab by ServiceNow is a low-code platform that empowers users to design, test, and deploy AI agents (digital workers) within the ServiceNow ecosystem. It features a drag-and-drop workflow builder, built-in LLM connectors, and direct access to ServiceNow data. Users can assemble conversational interfaces, automate approvals, query records, and integrate external APIs without deep coding, accelerating enterprise automation with governance and monitoring tools.
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What is AgentLab?
AgentLab is a ServiceNow framework for creating AI agents—also called digital workers—using a visual, drag-and-drop editor. Users link large language models with ServiceNow tables, define intents and actions, and orchestrate workflows for tasks like incident resolution, change approvals, and knowledge retrieval. Agents can be tested in built-in sandboxes, versioned, and monitored in real time. With connectors for external APIs and chat interfaces, AgentLab enables deployment across portals, Microsoft Teams, and Slack. The platform offers governance controls, audit trails, and analytics dashboards to ensure compliance and performance at scale.
Who will use AgentLab?
- IT administrators
- Business analysts
- Citizen developers
- Process owners
- ServiceNow consultants
How to use the AgentLab?
- Step1: Log into your ServiceNow instance and open AgentLab from the Now Experience menu
- Step2: Create a new agent project and define the agent’s name and scope
- Step3: Configure your LLM connector and specify model parameters
- Step4: Use the drag-and-drop canvas to design workflows, triggers, and actions
- Step5: Map data inputs and outputs to ServiceNow tables or external APIs
- Step6: Test the agent in the sandbox environment and refine prompts
- Step7: Publish and deploy the agent to a portal, Microsoft Teams, or Slack
- Step8: Monitor performance, review logs, and iterate as needed
Platform
- Web
AgentLab's Core Features & Benefits
The Core Features
- Visual workflow and dialogue builder
- Built-in LLM connectors
- ServiceNow data integration
- Custom action and script support
- Sandbox testing and versioning
- Real-time monitoring and analytics
The Benefits
- Accelerates AI agent development
- Enables citizen developer involvement
- Ensures governance and auditability
- Reduces coding overhead
- Scales digital workforce across channels
AgentLab's Main Use Cases & Applications
- Automating incident creation and resolution
- Streamlining change request approvals
- Building conversational HR onboarding assistants
- Delivering self-service knowledge bots
- Orchestrating procurement and vendor inquiries
FAQs of AgentLab
AgentLab Company Information
- Website:
- Company Name: ServiceNow
- Support Email:
- Facebook:
- X(Twitter):
- YouTube:
- Instagram:
- Tiktok:
- LinkedIn:
AgentLab Reviews
5/5
AgentLab's Main Competitors and alternatives?
Power Virtual Agents
IBM Watson Orchestrate
Rasa
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