Fragmented intake
Claims arrive through portals, email, phone, repair orders, invoices, photos, and documents—often requiring rekeying and clarification.
AUTONOMOUS CLAIM JOURNEY
From Claim Intake to Payment.
From Claim Intake to Payment.
One Connected Journey.
Warranty Decision Intelligence orchestrates specialized AI Workers across the claim lifecycle—connecting claim data, coverage, repair evidence, decisions, human oversight, actions, and Claims Intelligence.
Evidence at every decisionGoverned autonomyHuman oversight when needed
CLAIM 024981Decision-ready
Powertrain repair authorization
CoverageEligible
EvidenceComplete
Confidence97%
Claim score92 / 100
Recommended actionApprove within policy
Coverage
Repair
Parts
Labor
Images
History
CURRENT CLAIM OPERATIONS
Every claim is a series of decisions. Too often, the context is disconnected.
Claim teams still spend significant time gathering information, interpreting contracts and policies, validating repairs and costs, chasing missing evidence, and moving decisions between people and systems.
02
Inconsistent decisions
Coverage, repair, parts, labor, and exception decisions can vary with reviewer experience, workload, and interpretation.
03
Manual evidence chase
Missing details trigger calls, emails, inspections, and repeated handoffs that increase cycle time and customer or dealer effort.
04
Hidden cost leakage
Routine checks across parts, labor, rates, limits, duplicates, and prior claims are difficult to apply consistently at scale.
05
Queues treat claims alike
Straightforward claims can wait behind complex cases while experts spend time reviewing work that could be safely automated.
06
Insights arrive too late
Claims contain signals about product quality, dealer behavior, loss drivers, and emerging failures—but traditional reporting is retrospective.
THE JOURNEY FLOW
One governed path from claim request to resolution, and learning.
Warranty Decision Intelligence preserves claim context as each AI Worker makes or supports the next decision. Routine claims can move through governed automation; exceptions reach the right person with the evidence already assembled.
01 · CLAIM INTAKE
Create one structured claim from any channel.
Claim Intake, Email, and Voice Agents capture the request from an API, portal, email, call, estimate, repair order, invoice, or supporting document—then extract and normalize the information into a decision-ready claim.
Omnichannel capture3Cs and repair contextMissing-data detection
Decision at this stage
Is this claim complete enough to begin?
ResultReview-ready claim
Next action Enrich and validate context →
SPECIALIZED WARRANTY AI WORKERS
The right AI Worker for each claim decision.
Advisors provide evidence-grounded recommendations. Analysts evaluate claims and patterns. Agents execute repeatable work and follow-up—while the Decision Controller governs autonomy and human review.
Claim Intake Agent
Extracts claim information, structures repair and cost details, checks completeness, and creates or enriches the claim in connected systems.
Intake · Creation · Document processingWarranty Advisor
Interprets contract terms, eligibility, coverage, exclusions, deductibles, limits, policies, and required authorization guidance.
Eligibility · Coverage · GuidanceService Advisor
Connects complaint, cause, correction, diagnostic evidence, service knowledge, repair history, and known failure patterns.
Repair understanding · Technical validationParts Advisor
Validates requested parts against the asset, repair, applicability, price, supersession, duplication, and available alternatives.
Part applicability · Pricing · Repair fitVirtual Inspector
Reviews photos and video, evaluates evidence quality, identifies visible conditions, and checks alignment with the reported failure.
Visual evidence · Inspection · ConsistencyClaim Scoring Agent
Combines completeness, coverage, repair support, cost, history, anomalies, and confidence into a score and recommended route.
Scoring · Risk · Intelligent routingEmail & Voice Agents
Request missing evidence, explain what is needed, capture responses, notify stakeholders, and keep the active claim moving.
Follow-up · Communication · Exception resolutionDecision Controller
Applies confidence, risk, value, policy, and approval thresholds to determine whether to assist, escalate, or automate the next action.
HITL · Approval thresholds · Auditability
UNIVERSAL CLAIM
One claim model. Every source. Every decision.
An Autonomous Claim Journey needs more than workflow automation. It needs a persistent, decision-ready representation of the claim that can travel across systems and AI Workers without losing context.
The Universal Claim organizes the facts, evidence, guidance, decisions, actions, and outcomes needed to support manufacturer warranty, extended warranty, vehicle service contracts, and other service-related claims.
Asset & customerCoverage & contractComplaint · Cause · CorrectionParts & laborImages & documentsHistory & anomaliesDecisions & evidenceOutcome & payment
UNIVERSALCLAIMPersistent decision context
Portal / API
Email / Voice
Admin System
Repair Evidence
AI Workers
Payment / ERP
BETTER CLAIM DECISIONS + CLAIMS INTELLIGENCE
Improve the individual claim, and learn from every claim.
Decision Intelligence connects operational decisions with portfolio-level Claims Intelligence, turning claims data into a feedback loop for cost, quality, risk, and product improvement.
1
Decision IntelligenceMake the next claim decision
- Coverage and eligibility
- Repair reasonableness
- Parts and labor validation
- Claim score and routing
- Approval, adjustment, or escalation
↔
2
Claims IntelligenceUnderstand what claims are telling you
- Emerging failure patterns
- Cost and leakage drivers
- Dealer and provider behavior
- Severity and loss-ratio risk
- Forecasts and next-best actions
Ask your claims data“Why did claim severity increase this quarter?”
Analyze → Explain → Predict → RecommendAnswers, visuals, evidence, and recommended action
BUSINESS BENEFITS
Move from claim processing to measurable claim outcomes.
01
Improve team productivity
Automate intake, enrichment, routine validation, follow-up, and low-risk decisions so adjudicators focus on exceptions and higher-value work.
02
Reduce claim costs
Apply coverage, repair, parts, labor, visual evidence, limits, and risk intelligence consistently to identify leakage and improve payable decisions.
03
Shorten cycle time
Keep context connected across systems, AI Workers, repair facilities, reviewers, and payment so the claim advances without unnecessary handoffs.
04
Improve dealer & customer experience
Request the right information once, respond faster, provide clearer decisions, and reduce avoidable calls, emails, and claim-status friction.
05
Increase controlled automation
Start with assisted decisions and progressively automate higher-confidence work within configured risk, value, policy, and approval boundaries.
06
Detect issues earlier
Use Claims Intelligence to identify emerging failures, anomalous costs, provider patterns, and quality signals before exposure grows.
WHAT IS INCLUDED
A decision layer that augments the systems you already use.
Autonomous Claim Journey is designed to connect to existing warranty, claims, administration, dealer, service, ERP, and payment systems—not force a rip-and-replace.
01
Claim intake & normalization from documents, APIs, portals, email, and voice.
02
Decision models & guidance for coverage, repair, parts, labor, cost, risk, and approvals.
03
Specialized Warranty AI Workers across Advisors, Analysts, Agents, and orchestration.
04
Visual Decision Intelligence for photo, video, document, and inspection evidence.
05
Claims Intelligence with natural-language analytics, KPIs, anomaly detection, and forecasting.
06
Enterprise integrations with the systems of record and action already in your operation.
GOVERNEDAUTONOMYAccuracy creates trust.
Trust enables autonomy.
Trust enables autonomy.
Evidence
Confidence
HITL
Audit
GOVERNANCE BY DESIGN
Every autonomous action stays inside your boundaries.
Each claim decision can preserve the evidence used, confidence level, applicable guidance, validation results, and complete decision history. The level of autonomy is controlled by your policies and thresholds.
Evidence-groundedAttach supporting contract language, claim facts, repair evidence, and reference data to the decision.
Confidence-controlledUse confidence thresholds and validation checks to determine whether to recommend, route, or automate.
Human-in-the-loopEscalate exceptions by claim value, risk, decision type, uncertainty, or program policy.
AuditableRetain recommendations, actions, overrides, evidence, and outcomes for traceability and continuous improvement.
SEE YOUR CLAIM JOURNEY
What would an Autonomous Claim Journey look like in your operation?
Map your current claim journey, identify the decisions and evidence at each step, define human-review thresholds, and see where Warranty Decision Intelligence can improve productivity, claim cost, and operational efficiency.