claims_processing · finance · workflow

Admiral Seguros achieves touchless auto insurance claims with Tractable visual AI

Admiral Seguros's auto insurance claims process was entirely manual — appraisers reviewed customer damage images sent by email or other channels to build estimates, creating a laborious, time-consuming, and inexact workflow that failed both the business and its customers.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Vehicle damage reported at FNOL
At First Notice of Loss (FNOL), vehicle damage is reported and the automated claims process begins.
Tools used
Tractable
Outcome

By integrating Tractable's visual AI for Straight-Through Processing, Admiral Seguros dramatically shortened the claim cycle, allowing customers to complete an estimate in a few minutes and achieving real-time customer satisfaction.

Results
Time saveda few minutes
Source

https://tractable.ai/case-studies/admiral-seguros/

How we source this →

Grounding & classification
Source type: vendor customer story
17 fields verified against source quotes.
computer visiondocument aiinsurance claimhuman review describednamed customertools describedworkflow describedinsurancecustomer satisfactioncycle time reductionvendor customer storyclaims processingautonomous resolutiondocument to record