CLAIMS INTELLIGENCE
Turn claims history into lower costs, better product quality, and stronger supplier recovery with AI-powered Analysts that help you understand, predict, and act.
Why did claim costs rise this quarter?
USD thousands · Sample portfolio
Cooling-system repairs account for $32k of the $48k increase. Check component failure rates and repair severity before changing policy.
Interactive concept illustration. Sample figures; not customer results or a live product screen.
FROM ANALYSIS TO ACTION
Deploy AI-powered Analysts to explain cost drivers, uncover emerging issues, and recommend what to do next. Connect Agents to monitor conditions and follow through.
Track cost trends, claim frequency, repair severity, parts, and labor. Compare products, dealers, regions, and covered populations to separate changing volume from changing risk.
Detect anomalies and failure clusters across components, production cohorts, and service histories. Forecast claim volume, severity, and future reserve exposure with assumptions and expected ranges.
Equip quality and engineering teams with evidence for investigations and corrective actions. Identify component supplier recovery opportunities and focus effort on the greatest avoidable cost.
BEYOND DASHBOARD-LED REPORTING
Traditional reporting workflows often stop at describing what happened. Your team still has to find the cause, estimate the impact, and coordinate a response.
Circuitry.ai brings warranty expertise, predictive models, and recommended actions into the same analytical experience. Analysts investigate; Agents monitor and route follow-up work; people retain decision authority.
Meet your AI-powered AnalystsModern BI platforms can also forecast, detect anomalies, and add AI. Circuitry.ai’s distinction is the combination of warranty domain models, analysis across systems, and governed action—not the absence of charts or AI in BI.
ONE INTELLIGENCE LAYER. YOUR EXISTING SYSTEMS.
Claims administration is one source of truth. Warranty decisions need the rest of the story: product history, repairs, suppliers, quality, and financial exposure.
CIRCUITRY.AI SERVICE DATA FABRIC
Ingest available claims history through approved APIs, database extracts, files, or warehouse connections. Map records to a common model; reconcile products, components, suppliers, and repair events; validate data quality and preserve source traceability.
Explain trends, forecast exposure, and rank actions.
Watch refreshed data and route exceptions to owners.
Act on evidence; track outcomes and feed learning back.
An analytics layer across sources—not confined to one claims admin database. Source access, mappings, refresh frequency, and action integrations are configured for your environment.
INSIGHT FOR EVERY STAKEHOLDER
Natural language analytics and clear visualizations give warranty, service, quality, supplier, and finance teams a shared view of what matters.
Move from cost and cycle-time trends to the claims, parts, labor, and provider behavior behind them.
Cost trends + drill-downsCompare failure patterns and affected populations. Prioritize engineering reviews and measure the effect of corrections.
Failure Pareto + cohort heat mapsConnect component failures to suppliers, agreements, and repair evidence. Track eligible, submitted, disputed, and recovered amounts.
Recovery pipeline + agingAssess projected frequency, severity, and exposure under different scenarios. Finance reviews assumptions and approves reserve decisions.
Forecast ranges + scenario viewsViews reflect authorized data and configured use cases. Supplier eligibility depends on agreements and evidence; analytical signals guide investigation.
CLOSE THE LOOP
A rising failure rate is only useful if someone can act on it. Connect the signal to an owner, a decision, and a measurable outcome.
Explore Warranty Decision IntelligenceAn Agent monitors new claim data and flags a component trend that exceeds configured thresholds.
An Analyst connects affected products, repair patterns, supplier evidence, and projected costs.
Send an alert with supporting claims and a recommended next step to quality, engineering, or recovery teams.
Track follow-up actions, post-correction claim rates, recovery outcomes, and time from signal to resolution.
With Warranty Decision Intelligence, use validated insights to inform claim scoring, policy checks, and exception routing. Configure approval limits, confidence thresholds, and human review before enabling automated actions.
A PRACTICAL PLATFORM GUIDE
Compare warranty analytics platforms by automation depth, decision accuracy, supplier recovery support, and cost-control fit for high-volume operations.
Does the platform only display an insight, or also recommend, monitor, and execute approved follow-up?
Test on held-out claims. Measure error rates, false alerts, forecast error, and appropriate escalation by use case.
Can it link failures to responsible suppliers, evaluate eligibility, assemble evidence, and track recoveries?
Evaluate data coverage, implementation effort, throughput, total cost per claim, and measured net savings.
START WITH VALUE. SCALE WITH VOLUME.
Start with a focused business question and your available historical claims. Purpose-built Analysts reduce the work of building analytics from scratch and help your team get to a useful decision sooner.
Claims Intelligence pricing scales with claims volume, rather than adding a license for every stakeholder. Expand access across warranty, service, quality, and finance as value grows.
Start focused. Validate results. Expand with evidence.
QUESTIONS, ANSWERED
No. Circuitry.ai can work as an analytics and decision layer across existing claims, ERP, service, quality, and supplier systems. You can begin with historical data and add connected actions as integrations and permissions are configured.
Agree the source systems and permitted access, load available history into the data fabric, map identifiers and cost definitions, validate completeness, and reconcile totals. Add incremental refreshes so Analysts and monitoring Agents work from the same governed foundation.
Yes. Existing BI can remain part of the reporting environment. Circuitry.ai adds warranty-focused analysis, natural language exploration, predictive and prescriptive models, and connected follow-up. Modern BI also supports advanced analytics; the distinction is how the complete workflow supports warranty decisions.
Models assess historical frequency and severity alongside available exposure, product age, usage, reporting delays, and cost trends. Scenario forecasts help finance evaluate future obligations. Reserve decisions remain with your finance or actuarial team, using validated assumptions and model performance.
Manufacturers can connect field failures to components, suppliers, and engineering actions. Retailers can analyze claim patterns across brands, stores, service networks, and product categories. Available data and agreements determine the insights and recovery actions supported.
Evaluate models on representative historical claims and a held-out period before expanding use. Monitor false positives, missed issues, forecast error, overrides, and drift. Set confidence thresholds, escalation paths, and approval authority for any automated claim or follow-up action.
BETTER SERVICE DECISIONS. BETTER SERVICE OUTCOMES.
Request a demo of Circuitry.ai’s Warranty Decision Intelligence and see Claims Intelligence in action.
Answer • Decide • Act
LET’S TALK ABOUT YOUR WARRANTY OPERATION
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