Automotive valuation automation — a case study from an expert office
How we cut the average automotive opinion turnaround from 3 days to 4 hours using Document AI, RAG and a proprietary 5,000+ case dataset.
Starting point
An expert office handling 200 cases per month, 80% passenger vehicles. Average turnaround for an opinion: 3 business days, mostly manual case-file review.
Deployed architecture
Documents arrive in INBOX, a marker triggers a Document AI batch (EU region). Results are indexed in Qdrant + BM25, with section-level chunking of 800–1,000 tokens.
Results after 90 days
- Average turnaround: 4 hours (−87%)
- Throughput: 200 → 540 cases / month
- Zero hallucinations in controlled testing (n=120)
Industry takeaway
The appraiser stays at the center of the decision — AI takes over documentation work and market evidence gathering.
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