Case study · Traffic & mobility

9.5 million cases. 86% automated

Hyperautomation of vehicle and driver licensing, fine appeals, a smart vehicle-tracking cordon, a traffic observatory and data protection — an end-to-end transformation with AI, intelligent document processing and analytics.

Client: DETRAN-ES Solution: MAIN + ONDA + Analytics

The scale of the transformation

6,5M Driver licensing cases
3M Vehicle registration cases
86% Driver licensing automation
99,2% Document fraud detection
Workstreams

Seven solutions in production

Digital self-service · Vehicles and licensing

80 service centers and ~450,000 cases a year, with automatic validation of vehicle registration certificates, driver's licenses, IDs and invoices, plus integrated biometrics.

IDP engine · Fraud prevention

50,000+ documents at 99.2% detection — validating QR codes, URLs and security seals, cross-checked against official databases.

Fine appeals

1,200 cases analyzed at 81% automation, via OCR, NLP, ML, jurimetrics and automated legal opinions.

Smart vehicle-tracking cordon

5 billion vehicle passages, 150+ vehicles monitored and 5,000 alerts, with response times from 15 seconds to 4 minutes.

Traffic observatory

Indicators for crashes, fleet and violations, plus public dashboards integrating public safety, health, the national health system and the federal highway police.

Data protection with AI

Data lifecycle, access monitoring and anomaly detection with AI + Guardium.

Towing and financial audit

Route mileage validation and automation of commitment, settlement and budgeting.

Impact

From sampling to 100% of documents

Before Vert, cases were checked by sampling. Today 100% of documents go through the AI engine — with no increase in headcount.

Your motor vehicle department can reach 86% too

See the path Espírito Santo took — hyperautomation of vehicles, licensing, fines, the observatory and the smart vehicle-tracking cordon.

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