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AI-Powered Tyre Warranty Claims Processing

AI-Powered Tyre Warranty Claims Processing

Transform warranty validation from 48 hours to 5 minutes. Scale 100x with 99% faster processing and 82% cost reduction.

Transform warranty validation from 48 hours to 5 minutes. Scale 100x with 99% faster processing and 82% cost reduction.

90%

90%

Accuracy

Accuracy

82%

82%

Cost Reduction

Cost Reduction

75%

75%

Fewer Reassessments

Fewer Reassessments

100x

100x

Scale

Scale

Automate What Takes Your Team Days

Automate What Takes Your Team Days

Manual tyre warranty inspection creates bottlenecks - 2-3 days per claim, inconsistent decisions, limited scalability. Our AI-powered platform processes claims in under 5 minutes with expert-level accuracy.

Manual tyre warranty inspection creates bottlenecks - 2-3 days per claim, inconsistent decisions, limited scalability. Our AI-powered platform processes claims in under 5 minutes with expert-level accuracy.

Multi-brand warranty processors handling 5,000+ claims monthly

Retail networks managing claims across 200+ partners

Tyre manufacturers processing direct consumer warranties

Insurance providers offering tyre protection plans

Built on custom computer vision and multi-LLM architecture, We handle 100+ concurrent claims while maintaining consistency across manufacturers, retail partners, and thousands of monthly claims

Built on custom computer vision and multi-LLM architecture, We handle 100+ concurrent claims while maintaining consistency across manufacturers, retail partners, and thousands of monthly claims

Real Impact, Proven Results

Real Impact, Proven Results

Speed & Efficiency

5 minutes per claim vs. 48 hours manually

100+ concurrent claims processed simultaneously

Zero backlog - eliminate 2,000+ pending claim queues

82% cost Reduction per claim through automation

Speed & Efficiency

5 minutes per claim vs. 48 hours manually

100+ concurrent claims processed simultaneously

Zero backlog - eliminate 2,000+ pending claim queues

82% cost Reduction per claim through automation

Scale & Growth

3x network growth without proportional staff increases

15+ manufacturers on single platform

Support any volume - handles seasonal spikes instantly

Preserve expertise - institutional knowledge captured in AI

Scale & Growth

3x network growth without proportional staff increases

15+ manufacturers on single platform

Support any volume - handles seasonal spikes instantly

Preserve expertise - institutional knowledge captured in AI

Customer Experience

44% satisfaction increase from faster turnaround

Transparent decisions with clear explanations

Reduced disputes through consistent application of rules

Stronger partner relationships across retail network

Customer Experience

44% satisfaction increase from faster turnaround

Transparent decisions with clear explanations

Reduced disputes through consistent application of rules

Stronger partner relationships across retail network

Quality & Consistency

90% accuracy across 52+ defect classifications

75% fewer reassessments - consistent decisions reduce disputes

Zero variance - eliminate 30% inconsistency between adjusters

15% to near-zero rule application error rate

Quality & Consistency

90% accuracy across 52+ defect classifications

75% fewer reassessments - consistent decisions reduce disputes

Zero variance - eliminate 30% inconsistency between adjusters

15% to near-zero rule application error rate

From Upload to Decision in Minutes

1
2
3
4
5

Submit Claim

1
Distributor uploads tyre images and claim details via web portal or API. System validates submission completeness automatically.

Reviewer Assignment

2
Manufacturer reviewer picks the claim from inbox → work queue and begins evaluation.

AI Vision Analysis

3
Inbuilt custom AI model scans damage evidence + claim context and generates recommendation with confidence score for reviewer.

Take Decision

4
Reviewer takes the final decision based on AI suggestions and policy checks.

Reconsiderations

5
Rejected claims can raise a one-time appeal with extra proof, escalated to the Technical Lead.
1
2
3
4
5

Submit Claim

1
Distributor uploads tyre images and claim details via web portal or API. System validates submission completeness automatically.

Reviewer Assignment

2
Manufacturer reviewer picks the claim from inbox → work queue and begins evaluation.

AI Vision Analysis

3
Inbuilt custom AI model scans damage evidence + claim context and generates recommendation with confidence score for reviewer.

Take Decision

4
Reviewer takes the final decision based on AI suggestions and policy checks.

Reconsiderations

5
Rejected claims can raise a one-time appeal with extra proof, escalated to the Technical Lead.

Everything You Need for Enterprise Warranty Processing

Advanced Defect Detection

Custom-trained vision AI identifies 52+ tyre defect types in 1-3 seconds. Detects tread wear, sidewall damage, manufacturing flaws, impact damage, and improper usage indicators with 90% accuracy.

Multi-Manufacturer Policy Engine

Configure unlimited manufacturer policies. Hybrid rules engine applies deterministic logic for hard rules, AI interpretation for gray areas. Update policies without code changes.

Confidence-Based Escalation

Every decision includes confidence scoring. Low-confidence cases automatically escalate to human review with complete AI analysis and recommendations.

Contextual AI Understanding

Multi-LLM architecture interprets warranty documents, manufacturer terms, and claim context. Handles nuanced cases requiring judgment beyond visual inspection.

Complete Audit Trail

100% comprehensive logging of decisions, image analysis, and policy applications. Full documentation supports compliance and dispute resolution.

Real-Time Dashboard

Monitor processing metrics, decision patterns, manufacturer statistics, and adjuster performance. API-first architecture integrates with existing systems.

FAQ

FAQ

How accurate is the defect detection?

90% accuracy across 52+ defect classes at launch, improving to 95%+ within the first quarter through continuous learning. Edge cases auto-escalate to human review.

What happens to our existing adjusters?
How long is implementation?
Can it handle multiple manufacturers?
How does integration work?
What if the AI makes wrong decisions?
Is our data secure?
How do we scale processing capacity?

Ready to Transform your Claims Process?

Ready to Transform your Claims Process?

Ready to Transform your Claims Process?