Selected engagements, anonymized where clients require it. Every number below was measured against the client's own baseline before automation.
85%
Faster claim processing
A multi-site provider group processed claims through manual coding review and re-submission cycles. Document intelligence now codes and validates claims on intake, routing only exceptions to coders — cutting claim processing time by 85% and denials with it.
95%
Less document review
A public-sector legal team faced hundreds of thousands of pages per matter. Semantic search, classification and case summarization reduced manual document review by 95% — months of investigation compressed into hours, with citations back to every source page.
99.2%
Inspection accuracy
Vision AI on the production line replaced sampled manual inspection with 100% coverage at 99.2% accuracy — defects caught in-line instead of in the field, with every detection logged for process improvement.
80%
Claims automated
From FNOL intake through document collection and medical record review, 80% of claims now move without manual touches. Adjusters work the complex 20% — the platform handles the rest and flags fraud signals on the way through.
70%
Less scheduling effort
A dealer group's service scheduling ran on phone tag. Voice and chat agents now book, confirm and reschedule appointments against live shop capacity — cutting scheduling effort by 70% and no-shows along with it.
10 min
Quotes — was 2 hours
Customers photograph their rooms; vision AI recognizes the inventory, prices the move and returns a quote in 10 minutes instead of a 2-hour in-home survey — quoting more jobs per day without adding estimators.
Bring the numbers you want to move — we'll tell you what's automatable and what isn't.
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