AI Motor Insurance Case Study: 7 Days to 5 Minutes
How a Tier-1 motor insurer replaced week-long surveyor visits with an AI damage assessment engine customers submit photos from the accident scene, computer vision grades severity, fraud signals get scored in real time, and eligible claims settle straight through in under five minutes.
A Claims Journey Built for Surveyors, Not Smartphones
Surveyor Visits Taking a Week
Every claim required a physical inspectio scheduling, travel, and reports took three to seven days, keeping cars off the road and customers on hold.
Inconsistent Damage Estimates
Two surveyors looking at the same bumper could quote vastly different repair costs, creating disputes with policyholders and inflating settlement leakage.
Fraud Slipping Through
Staged accidents, prior-damage claims, and photo-tampering were showing up regularly traditional rule-based checks caught only the obvious cases.
Customer Frustration at the Worst Moment
Policyholders were already stressed after an accident. Long waits for surveyors and unclear payout timelines pushed satisfaction scores down every quarter.
Paperwork Slowing Every Step
FIR copies, driving license, RC book, and dozens of photos all had to be collected, verified, and keyed in manually before an assessment could even begin.
Rising Loss Ratios
Inflated estimates, undetected fraud, and slow settlements were pushing loss ratios up quarter over quarter margins were shrinking despite premium growth.
At Metizsoft, we don't just rebuild stores we own the outcome. Three pillars: earn belief, personalize discovery, then loop the customer back in.
Computer Vision at the Scene, Not Days Later
Rather than digitize surveyor forms, the team rebuilt the claims journey around the customer's phone photos captured at the accident scene are analyzed by computer vision, cross-checked for fraud, priced against a live parts database, and routed for settlement in one continuous flow.
Assessment at the Scene
Guided photo capture in the customer app produces the exact angles the vision model needs no waiting for a surveyor to arrive later.
Fraud Signals in Real Time
Every submission is scored for tampering, prior damage, and staged-accident patterns before a single rupee of reserve is committed.
Straight-Through for Simple Claims
Low-severity, high-confidence claims settle automatically. Complex or borderline cases route to a human adjuster with the full context prepared.
Designed for Clarity, Built for Speed
A seamless call-to-booking flow that handles everything from speech recognition to CRM sync without any human touchpoint.
Six Agents Inside the Assessment Engine
Guided Photo Capture
The customer app walks the policyholder through required angles front, rear, sides, damaged parts, VIN plate ensuring the model always gets what it needs.
Damage Detection Agent
Computer vision identifies every affected part bumper, headlight, fender, door and marks the exact zones of impact against a car-model database.
Severity Grading Agent
Grades each detected zone as minor scratch, dent, structural, or replacement driving whether the claim can be auto-settled or needs review.
Cost Estimation Agent
Prices repair cost from a live parts and labor database mapped to the insurer's authorized garage network no more disputes over line-item quotes.
Fraud Signal Agent
Flags reused photos, EXIF tampering, prior-claim overlaps, and staged-accident patterns surfacing risk before the reserve is even set.
Settlement Orchestrator
Verifies policy coverage, applies deductibles, issues payment to the garage or customer, and logs the entire chain to the compliance audit trail.
From Baseline to Live Assessment, in 4 Stages
Every reported metric is measured from production claims settlement time from core system timestamps, fraud catch rate from post-book audits, not internal estimates.
Baseline
Audited three years of settled claims photos, surveyor reports, payouts, and fraud outcomes to map where time and money were being lost.
Train
Built and validated damage detection and severity models on the insurer's own claim photos, tuned per vehicle segment not generic datasets.
Integrate
Wired the engine into the mobile app, the core claims platform, the garage network APIs, and the compliance log through secure event streams.
Deploy
Launched in shadow mode against surveyor decisions for eight weeks, then went live with adjuster override and continuous model performance monitoring.
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