Service taxonomy
A canonical map from how customers ask (“car A/C not cold”) to how providers actually bill it (“diagnostic + recharge”).
AgentRail is currently onboarding launch partners as we build the first provider network and AI integrations.
Give AI a way to book the real world.
AgentRail connects AI assistants with real-world service businesses, turning customer intent into qualified matches and confirmed appointments using actual services, pricing rules, availability, and booking requirements.
Starting focus: Automotive ServiceHome ServicesProperty Services
See AgentRail in action.
Twenty seconds from customer request to confirmed appointment.
Structured context for service commerce
The AgentRail Service Graph
The structured context an AI needs to make a real-world booking.
The Service Graph is designed to improve as transaction outcomes accumulate.
Pricing logic
Diagnostic fees, labor rates, parts tiers, and conditional pricing shaped so an agent could form a quote.
Availability
A normalized shape for bay-time, technician time, and intake windows — beyond scraped business hours.
Geography
A structure for service areas, drive-time constraints, and dispatch limits by provider.
Fulfillment requirements
Intake photos, vehicle details, on-site conditions, and prerequisites an AI may need before booking.
Booking rules
A shape for confirmation requirements, deposits, cancellation terms, and operator-controlled permissions.
Connect with AgentRail
David Schimmel
The problem
AI can find a business. AgentRail helps AI actually book one.
The hard part is fragmented CRM records, calendars, dispatch systems, price books, service areas, availability, and booking rules. AgentRail structures that operational context so an AI can move a customer from intent to a qualified, bookable transaction.
01
customer intentAI Assistant
02
service contextConnect
03
intent + provider rulesMatch
04
qualified next actionBook
How it works
Connect → Match → Book
Connect your services, pricing rules, availability, service areas, and booking requirements.
01CONNECT
Connect service context
Structure service taxonomy, pricing logic, availability windows, geography rules, and booking terms in one source of truth.
02MATCH
Match customer intent
Map vehicle, service, location, and timing to the rules a future provider workflow will need to resolve.
03BOOK
Book with the right requirements
Move from resolved intent toward a pilot booking workflow with clear operator-controlled next steps.
Service businesses stay in control of the systems and rules they already run.
Why AgentRail?
From intent to a transaction.
Searchgives customers options.
Lead marketplacessend businesses leads.
AgentRailturns customer intent into a qualified, bookable transaction.
PRODUCT PREVIEW
A guided product preview
Interactive Product Simulation
Product simulation — provider names, pricing, availability, match scores, and appointment information shown here are illustrative.
AgentRail · Concierge Session
Customer
My 2021 Traverse isn’t blowing cold air. Find somewhere nearby that can look at it tomorrow morning.
Product simulation — provider names, pricing, availability, match scores, and appointment information shown here are illustrative.
Industries
Starting with high-intent service categories.
AgentRail is starting with service categories where customer intent, operating context, and booking requirements need to line up.
Automotive Service
- Diagnostics
- Repairs
- Maintenance
- Mobile service
Home Services
- HVAC
- Plumbing
- Garage doors
- Electrical
Property Services
- Cleaning
- Pest control
- Restoration
- Related services
More categories can follow as the network grows.
Two sides of the same network
Built for service businesses first, with a clear path for AI platforms.
For Service Businesses
Keep the brand. Keep the CRM. Keep the customer.
AgentRail isn’t another lead marketplace. It is the transaction infrastructure connecting AI-generated demand to your existing business.
- Prepare services to be understood by AI assistants.
- Explore a path to more qualified demand with less phone tag.
- Test a pilot booking workflow without rebuilding your CRM.
- Plan around your existing calendar, tech stack, and pricing.
For AI Platforms
Design for real service commerce.
Request API access to explore structured service context and the path from AI intent to a bookable request.
- Explore one structured interface for service queries.
- Resolve intent against provider rules as the pilot develops.
- Build toward a booking transaction, not a lead-only flow.
- Plan for transaction status callbacks in later phases.
System categories
Designed around the systems service businesses already run.
The pilot is mapping how a future AgentRail layer could work across the operational stack — categories first, partnerships later.
- CRM
- Scheduling
- Payments
- Call Tracking
- Dealer Systems
- Field Service Management
Vision
“Search was built for humans. AgentRail is built for agents.”
AgentRail gives service businesses a practical way to participate in AI-led demand while giving AI platforms the structured context needed to act responsibly in the real world.
Founder
David Schimmel
Founder, AgentRail
AgentRail came from firsthand service-business operations experience—and from seeing how fragmented scheduling, pricing, CRM, availability, and booking workflows make it difficult to move from customer intent to a completed service action.
Make your business AI-ready.
Become a Launch Partner.
AgentRail is currently onboarding launch partners as we build the first provider network and AI integrations.
Founding Partner Offer
$0 setup + $0 monthly
Pay only for qualified AgentRail appointments.
$20 per qualified confirmed appointment. First 25 providers.