This interactive demo shows how AI Field Agent 2 handles intake, diagnostics, and quoting in a real field-service scenario.
• This is a demonstration workflow powered by AI Field Agent 2 using Envirotech Pro Services as a live deployment example.
• Your industry, workflows, pricing, and compliance rules are fully customizable.
• The AI will guide you through a real intake conversation, collecting service request information.
• At the end, you'll see how the AI structures data for dispatch, quoting, and compliance tracking.
Natural Conversation
AI asks questions like a real assistant
Smart Detection
Identifies urgency and safety risks
Structured Output
Clean JSON ready for your systems
This is one vertical example. AI Field Agent 2 adapts to any field service industry—HVAC, construction, telecom, utilities, solar, industrial maintenance, and more.
Envirotech Demo Workflow
👋 Hi! I'm the AI Field Agent intake assistant for Envirotech Pro Services.
I'll help you request service by asking a few questions about your situation. This usually takes 2-3 minutes.
Let's start: What's your full name?
Interactive AI Demo Coming Next
This page demonstrates the exact workflow and logic used by AI Field Agent 2. Live AI chat will be added shortly.
For now, request a live walkthrough customized to your team.
This is a live demo workflow. No real service
request will be created.
You're experiencing the same AI logic used in production
deployments.
Contact Information
Name, phone, email, preferred contact method
Service Details
Issue description, urgency, when it started
Property Information
Address, property type, affected areas
Photos/Videos
Visual documentation (optional but helpful)
Insurance & Consents
Coverage details, authorization to proceed
Emergency Detection: Identifies urgent situations requiring immediate response
Risk Flagging: Recognizes safety hazards (mold, flooding, biohazards)
Smart Routing: Categorizes service type for proper technician assignment
Data Structuring: Outputs clean JSON for CRM/dispatch integration
Request a live demo customized to your workflows, pricing rules, and compliance requirements. See it in action in under 30 days.
Request a Live Demo for My Team See a real production deployment →See how AI Field Agent 2 structures real field-service conversations
AI asks conversational questions to understand the problem. No forms, no rigid fields—just natural back-and-forth dialogue.
Example: "We have water coming up through the basement floor. It started yesterday after heavy rain and there's a musty smell."
The system automatically identifies emergency conditions, safety hazards, and compliance triggers based on the description.
Urgency: High
Risk: Mold Potential
Service: Water Extraction
AI asks for visual documentation to help technicians prepare and assess scope before arriving on-site.
AI Request: "Can you take a few photos of the affected area? This helps us bring the right equipment and give you an accurate quote."
AI converts the conversation into clean, structured data ready for dispatch, quoting, and compliance tracking.
{
"service_type": "Water Damage Restoration",
"urgency": "High",
"risk_flags": ["Mold Potential", "Active Water"],
"property_type": "Residential",
"affected_area": "Basement",
"media_uploaded": true
}The structured data flows automatically to your CRM, dispatch system, pricing engine, and compliance tracker—no manual handoffs.
Quote Generated
Tech Dispatched
Compliance Logged
This is the same logic running in production deployments — customized per industry, workflows, and compliance requirements.