AI-driven adjudication, fraud detection, and analytics for heavy machinery OEMs, dealer networks, and industrial equipment manufacturers — from first claim to supplier recovery.
From real-time claim adjudication to Monte Carlo reserve prediction — a complete warranty intelligence platform engineered for complex industrial supply chains.
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.
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.
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.
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.
Every claim runs through four AI stages sequentially — from warranty eligibility to adjudicated line-item decisions — in under 5 seconds.
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.

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