AI Warranty Intelligence

Warranty Management
Built for Industrial Scale

AI-driven adjudication, fraud detection, and analytics for heavy machinery OEMs, dealer networks, and industrial equipment manufacturers — from first claim to supplier recovery.

Heavy Machinery Industrial Equipment High-Tech Distribution OEM Networks Components & Parts Industrial Appliances
Warranty Command Centre
0
% Auto-Resolved
4.2hr
Avg Cycle Time
0
% Supplier Recovery
WC-3041 Hydraulic pump — ZJ21 ₹84,200 Approved
WC-3038 Engine block — D85EX ₹2,41,500 Pending Auth
WC-3035 Electrical module — EX200 ₹31,800 Approved
WC-3031 Turbocharger — CAT320 ₹1,12,600 AI Review
WC-3028 Boom cylinder — PC210 ₹18,400 Rejected
Heavy Machinery
Industrial Equipment
High-Tech Distributors
Industrial Appliances
Components & Parts
OEM & Dealer Networks
Heavy Machinery
Industrial Equipment
High-Tech Distributors
Industrial Appliances
Components & Parts
OEM & Dealer Networks

Everything warranty, unified

From real-time claim adjudication to Monte Carlo reserve prediction — a complete warranty intelligence platform engineered for complex industrial supply chains.

01

Warranty Analytics

Live dashboards tracking claim volumes, approval rates, and cost trends across your entire dealer and OEM network. Monte Carlo simulation predicts reserve requirements with 95% confidence intervals. Failure pattern analysis surfaces systemic product issues before they cascade.

Live Dashboards Monte Carlo Reserves Failure Pattern Analysis Supplier Recovery Tracking Lifecycle Management Parts Stock Visibility
02

Warranty Adjudication

AI engine delivers line-item decisions on parts, labor, travel, and freight — each checked against policy caps. Claims exceeding $25K are automatically routed to pending-auth queues. Goodwill evaluations run within the 90-day post-expiry window with OEM/dealer/customer cost splits computed automatically.

Line-Item Decisions Policy Cap Enforcement Goodwill 90-Day Window OEM / Dealer / Customer Split >$25K Pending-Auth Routing
03

Claim Automation

A 4-stage AI pipeline processes claims from submission to decision: Validation checks warranty period and usage limits; Document Analyzer runs PDF tamper detection and Claude AI review; Fraud Engine evaluates 9 risk signals; Adjudication Engine issues line-item recommendations. Supplier recovery claims are auto-generated. SQS integration enables real-time event streaming.

4-Stage AI Pipeline PDF Tamper Detection 9-Signal Fraud Engine Auto Supplier Recovery SQS Integration
04

Dealer Claim Automation

Guided submission portal for dealers and service partners with real-time validation at every step. Intelligent repair vs. replacement guidance reduces incorrect claims. Parts and labor line-items are validated against contract terms instantly. SSE feed delivers live claim status to dealer dashboards. Performance analytics benchmark dealers across your network.

Guided Submission Real-Time Validation Repair vs Replacement Guidance SSE Live Status Feed Dealer Performance Analytics

The 4-Stage Claim Pipeline

Every claim runs through four AI stages sequentially — from warranty eligibility to adjudicated line-item decisions — in under 5 seconds.

01
Validation Agent
  • Warranty period check
  • Usage limit validation
  • Failure code eligibility
  • Contract term lookup
02
Document Analyzer
  • Stage 1: Completeness check
  • Stage 2: PDF tamper detect
  • Stage 2: Image reuse (hashlib)
  • Stage 3: Claude AI cross-doc review
03
Fraud Engine
  • 9 risk signals evaluated
  • Repeat failure code check
  • Price anomaly detection
  • Partner claim frequency (90d)
04
Adjudication Engine
  • Parts / labor / travel / freight
  • Policy cap enforcement
  • Goodwill & cost-split calc
  • Supplier recovery auto-gen

Reserve intelligence at the speed of data

Go beyond basic reporting. ServiceCPQ's warranty analytics layer combines Monte Carlo simulation, bathtub-curve lifecycle modeling, and real-time supplier recovery tracking into a single command centre.

  • Monte Carlo reserve prediction with configurable confidence intervals — no more manual actuarial estimates
  • Failure pattern analysis identifies systemic part defects across your entire installed base
  • Lifecycle management with bathtub-curve age modeling — phase classification and extension quotes
  • Parts stock visibility with days-of-cover alerts — prevent warranty delays from stockouts
  • Supplier recovery tracking with automated claim generation (Cummins, Garrett, Bosch prefix mapping)
Explore Analytics Platform
ServiceCPQ Realtime Warranty Analytics Dashboard
0%
Auto-Resolved
4.2hr
Avg Cycle Time
0%
Supplier Recovery
Fraud Signal Analysis — WC-3038 2 Critical
Repeat failure code (ENG-BLK) Critical
Price anomaly — HYD-PMP ₹84,200 Warn
Labor hours 2.8x over benchmark Warn
Partner claim frequency — 9 claims / 90d (threshold 8) Warn
Document tampering detected (pdfplumber) Critical
Dealer history — 3 prior disputed claims Warn
Travel rate — 340 km vs 180 km service zone OK
Insufficient supporting documents OK
High-risk parts — turbocharger assembly OK

Nine signals. Zero tolerance for leakage.

ServiceCPQ's Fraud Engine evaluates every claim against nine weighted risk signals — from document integrity checks to partner claim frequency windows — before a single rupee is approved.

  • Deterministic Stage 2 checks: pdfplumber tamper detection, hashlib image reuse, claim date logic
  • Partner claim frequency monitored over rolling 90-day windows — warn at 8, critical at 15
  • Fraud score fused with confidence: ok / warn / critical badges surfaced to adjudicators
  • Claude AI cross-document review catches inconsistencies across photos, invoices, and repair logs
See Fraud Engine in Action

Your dealer network, guided and governed

Give every dealer and service partner a structured claim experience — from guided submission to real-time status — while maintaining full policy compliance at headquarters.

Guided Claim Submission
Step-by-step wizards with real-time field validation ensure dealers submit complete, policy-compliant claims on the first attempt.
Repair Decision Support
Intelligent repair vs. replacement recommendations based on machine age, failure code, and lifecycle phase — reducing incorrect claim types.
Real-Time Claim Tracking
SSE live feed delivers instant status updates — Submitted, Under AI Review, Approved, Pending Auth — without page refreshes.
Dealer Performance Analytics
Approval rates, average cycle times, and fraud signal frequency benchmarked across your entire dealer network with drill-down visibility.
0
Active Claims
0%
Approval Rate
3.1d
Avg Cycle
Recent Claims Live Feed
WC-3041 Hydraulic pump — ZJ21 ₹84,200 Approved
WC-3038 Engine block — D85EX ₹2,41,500 Pending Auth
WC-3035 Electrical module — EX200 ₹31,800 Approved
WC-3031 Turbocharger — CAT320 ₹1,12,600 AI Review
WC-3028 Boom cylinder — PC210 ₹18,400 Rejected
adjudication_engine.py
@app.post("/claims/adjudicate")
async def adjudicate_claim(
    claim: ClaimRequest,
    db: AsyncSession = Depends(get_db)
) -> AdjudicationResult:

    # Stage 1 — Validation Agent
    validation = await ValidationAgent().run(
        claim_id=claim.id,
        machine_id=claim.machine_id,
        failure_code=claim.failure_code,
    )
    if not validation.eligible:
        return AdjudicationResult(
            status="REJECTED",
            reason=validation.rejection_reason,
        )

    # Stage 2 — Document Analyzer (3-stage)
    doc_result, doc_analyses, vctx = await DocumentAnalyzer().run(
        claim_id=claim.id,
        documents=claim.document_urls,   # S3 presigned URLs
    )
    # Stage 3 uses Claude multimodal AI across all docs

    # Stage 3 — Fraud Engine (9 signals)
    fraud = await FraudEngine().evaluate(
        claim=claim, doc_context=vctx,
    )
    # Signals: repeat_code, price_anomaly, labor_hours,
    # partner_frequency, tampering, dealer_history,
    # travel_rate, insufficient_docs, high_risk_parts

    # Stage 4 — Adjudication Engine
    adj = await AdjudicationEngine().decide(
        claim=claim,
        fraud_score=fraud.score,
        policy=await get_policy(claim.dealer_id),
    )
    # line_items: parts + labor + travel + freight
    # goodwill: 90-day window, OEM/dealer/customer split
    # auto-route >$25K to pending-auth queue

    # Auto-generate supplier recovery claim
    if adj.supplier_recovery_eligible:
        await create_supplier_recovery(
            claim=claim, adj=adj,
            prefix_map=SUPPLIER_PREFIX_MAP,
        )

    return adj.to_result()

Line-item decisions, not summaries

The adjudication engine delivers granular decisions — parts approved at catalog price, labor capped at policy hours, travel within service zone, freight at actuals. Not a single aggregated approve/reject.

  • Policy cap enforcement per line type — parts, labor, travel, freight, and miscellaneous each governed separately
  • Claims exceeding $25K routed automatically to pending-auth queues for senior adjudicator review
  • Goodwill evaluation within 90-day post-expiry window — OEM, dealer, and customer cost split computed by policy rules
  • Supplier recovery claims auto-generated from part prefix maps — Cummins, Garrett, Bosch, and custom suppliers
  • VerificationContext tracks step confidence (0-100) and partial failures across all 4 pipeline stages
0%
Auto-Adjudicated
No human touch required
0
Fraud Signals
Evaluated per claim
0%
Supplier Recovery
vs. industry average
<5s
End-to-End Latency
Full 4-stage pipeline

"We run one of the largest dealer networks in the region — 700 service partners across 14 states. Before ServiceCPQ, our warranty team spent three days per claim chasing paperwork and running manual fraud checks. Today, 94% of claims are adjudicated automatically in under five seconds. Supplier recovery alone paid for the platform in the first quarter."

Michael T.
National Service Director, Heavy Equipment OEM
Ready to Deploy

Stop bleeding warranty costs.
Start recovering them.

See how ServiceCPQ's AI warranty platform transforms claims processing for heavy equipment OEMs and dealer networks — from submission to supplier recovery.

No commitment required. Live demo with your own claim scenarios.