Acquisition
Lead source, neighborhood, vehicle notes, and service intent enter one operating record.
Technical architecture
Next-generation automotive care, powered by AI operations infrastructure.
Clearview is a mobile headlight restoration company with a technical operating layer behind the driveway service: route-aware scheduling, custom CRM workflows, automation, AI-assisted data processing, and a cloud scaling path built for measured growth.
Clearview architecture Operating model
01 Customer request
Vehicle, location, lens condition, timing, and service intent.
02 Clearview CRM
Lifecycle record, service history, guarantee dates, proof assets.
03 ClearClaw
Parses context into routing, follow-up, and ops decisions.
04 Route + follow-up
Appointments, service notes, warranty windows, and referrals.
Inputs
Lead note
Captures what the customer asked for and any scheduling context.
Vehicle constraints
Tracks lens condition, vehicle shape, access, and service complexity.
Weather window
Accounts for rain, humidity, sunlight, and cure conditions.
ClearClaw
Turns messy intake context into structured operational decisions.
Outputs
Route priority
Helps decide which jobs should be grouped or scheduled first.
Follow-up task
Creates the next customer action after quote, booking, or service.
Job record
Preserves service history, proof assets, guarantee dates, and notes.
AI & automation pipeline
Intelligent processing with ClearClaw.
ClearClaw is the internal intelligence layer for turning messy operating context into structured decisions. It supports parsing lead notes, service constraints, routing signals, and follow-up actions so mobile units can be dispatched with less manual coordination.
The system is tuned around the business reality of driveway service: weather windows, neighborhood grouping, vehicle geometry, guarantee tracking, and post-service referral loops.
Core infrastructure & CRM
Proprietary client management for a physical service business.
The Clearview CRM is built around the full service lifecycle: intake, qualification, scheduling, service history, proof assets, invoicing, warranty dates, and repeat contact. lightweight automation keeps the system practical while preserving structured operations data.
Qualification
Lens condition, weather window, travel distance, and geometry risk shape the booking path.
Dispatch
Appointments are grouped by street and time window to reduce travel waste between driveway jobs.
Lifecycle
Before/after assets, guarantee dates, service history, and referral opportunities remain attached.
Internal tooling
AI-native operations with a cloud scaling path.
Clearview uses AI-native workspaces for planning, intake cleanup, follow-up drafting, and operational review. The goal is to keep day-to-day work responsive while preparing the durable parts of the system for managed cloud services as demand increases.
Clearview CRM
Custom client and vehicle workflow designed around mobile headlight restoration, not a generic service desk.
Structured automation
Repeatable intake, booking, and follow-up steps keep admin work consistent as volume increases.
ClearClaw
Clearview-built AI processing layer for parsing operating data, routing context, and follow-up decisions.
Service intelligence
Before/after records, warranty windows, route notes, and referral context stay attached to each job.
Today Local operations system
- CRM records
- Job notes
- Route planning
- Follow-up drafting
- ClearClaw-assisted intake
- Service history
Future Google Cloud backend
- Cloud database
- Booking/API workflows
- Scheduled follow-ups
- Photo storage
- Operations dashboards
- Gemini / Vertex AI intake summaries
Cloud scaling path
Built small, instrumented for scale.
The architecture is intentionally staged: prove the operating model locally, keep the data model clean, then move the components that benefit from managed reliability and observability into cloud infrastructure.
Stage 1
Harden CRM data contracts around jobs, vehicles, contacts, invoices, and service outcomes.
Stage 2
Move durable automation workloads toward Google Cloud services as scheduling volume increases.
Stage 3
Add operational visibility for job flow, dispatch latency, and conversion funnels.
Stage 4
B2B SaaS Commercialization. Unbundle the ClearClaw architecture and launch as a standalone subscription platform for the broader mobile field-service industry.