Security by default
TLS in transit, AES-256 at rest, and row-level security for tenant isolation.
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.
Every anonymous “how much to fix this?” conversation on your site normally ends nowhere. This turns it into a structured intake and a consented lead your estimators can call — turning idle curiosity into booked inspections.
A guided, multi-turn conversation that ends with a lead on your desk — not a dead end.
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.
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.
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.
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.
Everything routes through the infrastructure you already trust — branding, CRM, notifications, and plan limits.
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.
Schema-validated output: vehicle, damage summary, affected areas, hidden-damage risk, and cost factors your estimator can trust.
No prices, no part numbers, no labor hours — ever. A server-side validator strips forbidden content, so nothing reads like a binding quote.
Every completed intake ends in a consented contact — name, email, phone — captured with an explicit opt-in and timestamped for the record.
Deployed airbags, fluid leaks near brakes, steering damage — a deterministic screen flags unsafe vehicles and tells the owner not to drive.
Intakes promote to a CRM contact and notify your advisors. Triage the inbox, review the full transcript, and mark disposition in one place.
A clean, preliminary intake — not a transcript to dig through.
Illustrative example. Cost factors are described, never priced — no dollar amounts, part numbers, or labor hours appear anywhere in the intake.
When AI represents your shop, trust is not a footer topic. SocialCRM keeps security, documentation, and operational controls visible in the product and available to your team.
TLS in transit, AES-256 at rest, and row-level security for tenant isolation.
Role-based access control, MFA, and audit logging for teams that need operational clarity.
Security details, DPA terms, and subprocessor information are available before procurement asks.
Support for multi-location workflows, shop-system alignment, and AI-facing brand accuracy.
Review the operational details before you book a rollout.
See how the AI Repair Estimate Assistant hands your estimators a qualified lead — without ever quoting a price.