The challenge
Every GAP claim was a five-step relay. Adjusters downloaded documents from email, manually re-typed 75 to 80 fields into the claims system, cross-checked policy data across separate portals, chased clients and partners for missing information, and built audit logs by hand. The backlog kept climbing. New adjusters took months to ramp. Compliance gaps were a constant audit risk.
The solution
ExtractQ rebuilt the entire intake-to-adjudication flow as an automated pipeline.
- Documents are detected directly from internal storage, with no email triage required.
- ExtractQ pulls every field into structured JSON, validating relationships as it goes.
- ProcessQ runs the critical cross-checks: DMV, fraud screening, and VIN verification.
- Clean, validated data lands in the core claims app, ready to adjudicate with a single click.
- Every change is timestamped automatically, producing an audit trail that is always live.
Results
Processing time dropped 80 percent. Claims that took 45 minutes now close in 9.
The backlog cleared completely. From 2,800 pending claims to zero. The queue itself stopped existing.
Adjuster throughput more than doubled. Daily output went from 10 claims per adjuster to 25, freeing capacity for the complex work that actually needs human judgment.
$3M saved annually, with zero net new hires.
What the team said
“A 14-year experienced adjuster and a 6-month on-the-job inexperienced adjuster are both able to quickly maneuver through claims to complete them at nearly the same pace. AI has made the learning curve for basic GAP claims very simple and easy.”
“AI has provided significant time savings for basic claim data entry tasks, which allows the adjuster time to research and decision the more complex aspects of claim adjudication.”
“AI claim adjudication assistance has doubled the daily output for participating adjusters, allowing us to process more claims without increasing headcount.”
Senior Manager, Operations, GAP Claims