AI extracts damage details from photos and PDFs automatically
Problem Statement
Manual review of photos and documents slows settlements and ties up adjuster capacity despite digital capture. OCR tools are not being leveraged, photos and PDFs are trapped in legacy systems, and simple claims take as long as
complex ones.
What's holding you back
Poor OCR accuracy; wastes 30 mins per claim
No human-in-loop validation
Standalone tool not embedded
Ignoring confidence scores
Photos/PDFs trapped in legacy systems
What success looks like
Touches per claim decrease
Settlement time decreases 25%
Adjuster capacity increases 30%
Straight-through processing increases
Damage assessment becomes consistent
How evolv helps
Applies AI-powered OCR with iterative accuracy (~95%) improvement and confidence scoring
Embeds extraction in claims workflow with human-in-loop for low-confidence cases
Integrates with legacy systems enabling phased rollout and continuous model training