CourtImmo vs CourtiGo
Category : AI tool for insurance brokerageOfficial site
CourtiGo is an excellent AI tool for insurance brokerage: it reads all contract formats and identifies commissions. CourtImmo covers mortgage credit end to end, borrower insurance included, where CourtiGo does not address credit-file assembly.

In short
CourtiGo embeds a proprietary AI that reads all insurance-contract formats, identifies commissions and updates client records. It is a strong tool for insurance brokerage, but it does not address mortgage-credit file assembly.
CourtImmo vs CourtiGo
AI & automation
Credit-specific
Client experience
Model & architecture
Compliance support
Strengths of CourtiGo
- Strong proprietary AI on insurance documents
- Automatic commission identification
- Client-record updates from documents
Limits versus CourtImmo
- Insurance-centric: no mortgage simulation or file assembly
- No debt consolidation
- No white-label or credit-dedicated borrower portal
Pricing
- CourtImmo: from 79€/month (Solo plan, all included, no commission)
- CourtiGo : On quote
Why brokers choose CourtImmo
Native AI document extraction: file data entry drops from about 45 minutes to 2 minutes.
100% paperless and modern full web, with no software to install and no legacy stack.
Transparent SaaS subscription, with no commission taken on your files.
Built for the six IOBSP broker profiles, from solo to white-label network.
Frequently asked questions
Do CourtiGo and CourtImmo cover the same business?
Not entirely. CourtiGo is centered on insurance brokerage; CourtImmo covers mortgage credit end to end, with borrower-insurance delegation as a complement.
Does CourtImmo handle borrower insurance?
Yes, borrower-insurance delegation is part of the platform, integrated into the credit-file flow.
Compare for yourself, on your files
Try CourtImmo in real conditions and measure the time saved from the very first file.
Comparison based on publicly available information, for informational purposes. Cited brands belong to their respective owners. Last editorial review: 2026-06-04