Security by default
TLS in transit, AES-256 at rest, and row-level security for tenant isolation.
Private Beta
Give your shop its own AI.
The AI Repair Estimate Assistant is a white-labeled chatbot you offer your own customers. A vehicle owner describes damage in plain language — you get an estimator-ready repair intake and a qualified lead, delivered to your CRM.
From visibility to conversion
AI made your shop visible. This makes it answer.
An anonymous “how much to fix this?” on your site usually ends nowhere. This one ends as a structured intake your estimator can call.
Estimator-ready
Structured intake, not a chat log
Consented leads
Straight into your CRM
Preliminary always
No quotes, no liability creep
How it works
From uncertain description to booked inspection
A guided, multi-turn conversation that ends with a lead on your desk — not a dead end.
Step 01
A vehicle owner describes the damage
On your branded page, your customer types what happened in plain language — "I clipped a parking pillar, front-left corner." No forms, no jargon, no login.
Step 02
The assistant asks the right follow-ups
It works like an experienced estimator: one question at a time, pins down the vehicle and trim, and maps likely affected areas — always marked preliminary, never a quote.
Step 03
It builds an estimator-ready intake
Vehicle identity, damage summary, affected areas with confidence levels, cost factors, and a clear next step — structured and ready for your advisor to act on.
Step 04
A qualified lead lands in your inbox
With consent, the completed intake becomes a contact in your CRM and an alert to your staff. Your team follows up while the owner is still deciding.
What you get
Built for shops, with hard limits
Every intake lands in the same CRM and notifications your team already uses.
White-labeled, zero code
Runs on a hosted page themed from your brand profile — your logo, your colors, your shop name. Enable it from your SocialCRM workspace, no code.
Your branding
Hosted page + QR
No developer needed
Estimator-ready intakes
Schema-validated output: vehicle, damage summary, affected areas, hidden-damage risk, and cost factors your estimator can trust.
Structured output
Per-area confidence
What to verify
Preliminary by design
No prices, no part numbers, no labor hours — ever. A server-side validator strips forbidden content, so nothing reads like a binding quote.
No dollar amounts
Non-blankable disclaimer
Audit trail
Lead capture + consent
Every completed intake ends in a consented contact — name, email, phone — captured with an explicit opt-in and timestamped for the record.
Explicit consent
Honeypot + email checks
Company-scoped only
Safety-first, by construction
Deployed airbags, fluid leaks near brakes, steering damage — a deterministic screen flags unsafe vehicles and tells the owner not to drive.
Server-side safety flag
"Do not drive" step
Not just a prompt
Straight into your CRM
Intakes promote to a CRM contact and notify your advisors. Triage the inbox, review the full transcript, and mark disposition in one place.
CRM contact + activity
Staff notifications
Inbox + dispositions
See the output
This is what your estimator receives
A clean, preliminary intake — not a transcript to dig through.
Preliminary repair intake — not a quote
Your vehicle
2021 Honda CR-V EX (confirmed with owner ✓) · ~42,000 mi
What happened
Front-left corner impact against a parking pillar at low speed. No airbag deployment, no warning lights, vehicle drives straight.
Likely affected areas
Front bumper coverReplaceHigh
Left front fenderRepairMedium
Left headlamp assemblyInspectMedium
Front radar / camera (ADAS)Inspect + calibrateLow
Next step
Book a 20-minute inspection — Send my intake →
Illustrative example. Cost factors are described, never priced — no dollar amounts, part numbers, or labor hours appear anywhere in the intake.
Trust and Operations
Security your service manager never has to think about.
When AI represents your shop, the data behind it has to be locked down. The controls are in the product and documented for your team.
Access and accountability
Role-based access control, MFA, and audit logging for teams that need operational clarity.
Plain-language documentation
Security details, DPA terms, and subprocessor information are available before procurement asks.
Built for real operations
Support for multi-location workflows, shop-system alignment, and AI-facing brand accuracy.
The details, in writing:
Turn damage descriptions into booked inspections
See how the AI Repair Estimate Assistant hands your estimators a qualified lead — without ever quoting a price.