Scalong AI Logo
Back to Case Studies

From 45-Minute Paper-Chase to 15-Minute Smart Claims

GenAI
Insurance
Claims
Automation
AI
AI Agents
Agents
ExtractQ
From 45-Minute Paper-Chase to 15-Minute Smart Claims

How ExtractQ turned a manual bottleneck into an AI-powered fast lane.

1. The Reality Check – Life Before ExtractQ

Every claim followed a five-hand relay:

  1. Intake – PDFs arrived by email; a coordinator downloaded, renamed, and filed them.
  2. Re-typing – A data-entry clerk keyed 30-40 fields into the claims system.
  3. Verification – Another employee cross-checked policy numbers and coverages in a separate portal.
  4. Chasing missing data – Gaps were kicked back to the clerk; adjusters waited.
  5. Audit & compliance – Screenshots and spreadsheets were stored for regulators.

Result? Slow resolutions, mounting backlogs, frustrated customers, and an audit trail nobody trusted.

2. The Game-Plan – What We Deployed

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.

3. The New Groove – Life After ExtractQ

One straight-through, lights-out flow:

  1. Auto-capture – Claim docs drop into an S3 bucket or SharePoint folder; a serverless trigger picks them up.
  2. Smart extraction – ExtractQ reads the file, pulls exactly the fields we tell it to (no template training), and returns clean JSON.
  3. Instant validation – ProcessQ pings internal policy DBs plus third-party APIs (DMV, fraud-check, VIN lookup) to confirm accuracy.
  4. Seamless ingestion – Verified data lands in the core claims app via REST API; adjusters see a ready-to-adjudicate record.
  5. Built-in compliance – Every extraction, validation, and field-level change is time-stamped for auditors; dashboards refresh in real time.

4. Why It Worked

Traditional OCRExtractQ Advantage
Needs model training & upkeep“Just specify the fields” – zero training
Struggles with mixed layouts & handwritingVision-plus-LLM stack handles tables, photos, scribbles
Text onlyLinks data points for richer insights
Limited language support25+ languages out-of-the-box

5. Business Impact

  • Speed: Average processing time cut from 45 min to 19 min—customers get answers the same day.
  • Scale: When a hailstorm spiked claims by 150%, the system kept pace without extra hires.
  • Savings: Fewer manual touches translated to US $1.5 M annual OPEX reduction.
  • Decisions: Claims managers now approve or reject in one screen, backed by real-time accuracy scores.
  • Compliance Confidence: Auditors receive click-through evidence instead of CSV exports.

6. Takeaway

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.)

Transform Your Business

Ready to achieve similar results? Let's discuss how we can help your business.

Share This Story