Texas Department of Motor Vehicles modernizes unstructured data management with Box Intelligent Content Management and Box AI
TxDMV was managing millions of scanned title records and tens of thousands of daily vehicle transaction files in a legacy content management system that lacked records retention and metadata tagging, leading to escalating storage costs, security risks, and cumbersome manual processes.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Vehicle transaction files generated
Tens of thousands of files are generated each day from vehicle transaction records.
Tools used
BoxBox AI
Outcome
Box AI automatically extracts key information from forms and records, reducing manual review and accelerating workflows while maintaining security and compliance. Customers can now upload documents before visiting offices, reducing wait times, and the agency has better cost control and visibility over its unstructured data.
What failed first
The legacy content management solution lacked records retention and metadata capabilities, so everything was kept indefinitely and costs escalated without control.