Claims processing · Production

Admiral Seguros achieves touchless auto insurance claims with Tractable visual AI

The problem

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.

Workflow diagram · grounded in source
1
Vehicle damage reported at FNOL
trigger
“At First Notice of Loss (FNOL) – when vehicle damage is reported”
2
Customer submits damage images via app
integration
“customers are invited by Admiral Seguros's processing team to capture the damage on their smartphone camera using an app link”
3
AI assesses damage and builds estimate
ai_action
“Tractable's AI will assess the damage and automatically build an accurate estimate ready for review”
4
Estimate delivered for review
output
“build an accurate estimate ready for review. It allows customers to complete an estimate in a few minutes”
Reported 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.

Reported metrics
Time to complete estimatea few minutes
Claim cycle lengthdramatically shortening the claim cycle
Customer satisfactionreal-time customer satisfaction
Reported stack
Tractable
Source
https://tractable.ai/case-studies/admiral-seguros/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

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 custome…

What tools did this team use?

Tractable.

What results were reported?

Time to complete estimate: a few minutes; Claim cycle length: dramatically shortening the claim cycle; Customer satisfaction: real-time customer satisfaction (source-reported, not independently verified).

How is this claims processing AI workflow structured?

Vehicle damage reported at FNOL → Customer submits damage images via app → AI assesses damage and builds estimate → Estimate delivered for review.