
How ExtractQ turned a manual bottleneck into an AI-powered fast lane.
Every claim followed a five-hand relay:
Result? Slow resolutions, mounting backlogs, frustrated customers, and an audit trail nobody trusted.
We introduced an AI-driven automation stack anchored by ExtractQ (for “zero-training” document intelligence) and a light-weight orchestration layer we call ProcessQ for validations and routing.
One straight-through, lights-out flow:
| Traditional OCR | ExtractQ Advantage |
|---|---|
| Needs model training & upkeep | “Just specify the fields” – zero training |
| Struggles with mixed layouts & handwriting | Vision-plus-LLM stack handles tables, photos, scribbles |
| Text only | Links data points for richer insights |
| Limited language support | 25+ languages out-of-the-box |
ExtractQ didn’t just digitize paperwork—it re-engineered the claims experience. By removing manual choke points and baking validation into the flow, the insurer turned a cost center into a customer-delight engine.
Ready to see your own “before and after” story?
Let’s run a pilot on five claim types and benchmark the results in under 30 days.
(Contact Scalong to schedule your discovery session.)
Scalong’s builds a generative AI platform to automate and bring social-media creatives to life—blending AI image generation, background removal and caption optimization for lightning-fast, multi-language product marketing automation.
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