Warranty reserves set on past data.
Fraud accumulating in current month's claims.
The damage is done before you see it.

Manufacturers and services organizations carry significant warranty liabilities managed with spreadsheets, siloed claims systems, and monthly reserve cycles that are always behind the current claim velocity. By the time inaccurate reserves surface, earnings impact is already booked. By the time fraud patterns are visible, losses have compounded across thousands of claims. Warranty Intelligence changes that from reactive to real time.

 
 
 
app.covasant.ai / warrantyintelligence
Warranty Intelligence // Live Active
$2.1M
Reserve Variance
47
Fraud Flags
98.7
% SLA Rate
Live Activity
 
HVAC Unit #WC-204811 SunTech — High repair cost
now
Review
 
EV Battery #WC-204799 Fleet ENT-0441
5m
Escalate
 
Industrial Refrigeration #WC-204783 — Standard
1h
Approved
 
Laptop Display #WC-204770 — Consumer Warranty
2h
Approved
 
Compressor #WC-204755 — Duplicate submission
3h
Fraud
 
Agent Insight: SunTech Services shows 3.4× average repair cost on HVAC compressor claims vs network median. Recommend supplier audit trigger and reserve increase of $280K for Q3. Pattern consistent across 47 claims over 90 days.

Warranty liabilities managed with
the tools of a decade ago.

Warranty programs represent some of the largest contingent liabilities on a manufacturer's balance sheet. They affect earnings, pricing decisions, supplier relationships, and product quality feedback loops. Yet most organizations still manage them with fragmented systems, periodic reserve reviews, and manual fraud detection that cannot keep pace with claim volumes.

CFO / VP Finance / Controller
Reserve levels that lag real claim velocity by weeks, creating earnings volatility that surprises the board
Monthly reserve adjustments based on last month's claim data are structurally behind. When claim velocity accelerates on a product line experiencing quality issues, under-reserving builds for weeks before the adjustment cycle catches up. The earnings impact lands as a surprise.
Monthly
Reserve cycle lag creates compounding earnings exposure
Head of Warranty / VP Service Operations
Duplicate claims, inflated repair costs, and unauthorized service providers draining warranty budgets without detection
Warranty fraud is not a single large incident. It is thousands of small ones that aggregate to a significant number before any pattern becomes visible through manual review. Duplicate claim submissions, repair cost inflation by specific dealers, and work by unauthorized service providers all require cross-claim pattern detection at scale.
Head of Legal / Chief Compliance Officer
Regulatory filings, SLA enforcement, and supplier accountability requiring precise documentation that manual processes cannot consistently produce
Warranty compliance obligations include regulatory reporting deadlines, internal SLA commitments to customers, and contractual accountability for service partners. When managed manually, documentation gaps accumulate. Missed deadlines become compliance findings.
VP Supply Chain / Head of Supplier Quality
Service partner performance managed through periodic reviews rather than continuous data-driven accountability
When service partner performance is reviewed quarterly, underperformers have three months to accumulate inflated costs, poor repair quality, and compliance failures before accountability conversations begin. By then, customer impact is documented and renegotiation starts from incomplete evidence.
Chief Product Officer / VP Engineering
Quality signals buried inside warranty claims that could prevent recalls but are never systematically surfaced
Warranty claims carry early indicators of systemic quality issues, such as repair frequency anomalies on specific components, failure patterns correlating with production batches, or emerging defects concentrated in a particular geography. These signals appear in claim data weeks before they reach formal recall consideration threshold.
CFO / Chief Actuary
Financial risk forecasting for warranty liability that depends on static models rather than live claim velocity data
Warranty liability forecasting built on historical averages and static actuarial models cannot reflect the real-time signals that drive actual future exposure. A new product launch, a supply chain quality event, or a market-specific failure pattern changes the liability trajectory immediately.

From claim intake
to real-time warranty intelligence.

Step 01
Ingest Claim Streams
CAMS agents ingest claim streams, ERP data, service partner feeds, product telemetry, and external benchmarks in real time, building a living picture of warranty exposure across every product line, geography, and service network.
 
Step 02
Multi-Dimensional Analysis
Agents cross-correlate financial, operational, and compliance signals simultaneously. They identify reserve drift, fraud patterns, supplier anomalies, and compliance gaps, all at once, without fatigue or sampling bias.
 
Step 03
Autonomous Workflow Execution
High-confidence decisions execute automatically: reserve adjustments trigger, compliance filings generate, fraud alerts escalate, and supplier scorecards update, all with full audit trail for every action taken.
 
Step 04
Adaptive Learning
Every outcome, adjudication decision, fraud confirmation, reserve accuracy result, feeds back into model improvement. Your warranty intelligence gets measurably smarter with every claim processed.

Six agents. Complete warranty intelligence
across every financial dimension.

Warranty Intelligence deploys six specialized CAMS agents, each continuously working on a distinct dimension of warranty risk. Together, they replace the fragmented, reactive warranty management cycle with a live intelligence operation.

 
Reserve Intelligence
Reserve Intelligence Engine
Analyzes claim velocity, product cohort data, geographic patterns, and historical outcomes to generate dynamic reserve recommendations updated in real time. When claim rates on a product line accelerate, then your reserve level adjusts immediately rather than waiting for the monthly cycle.
 
Fraud Detection
Fraud and Anomaly Detection Agent
Behavioral models flag duplicate claims, inflated parts costs, unauthorized dealers, and repair frequency anomalies across your entire claim universe simultaneously. No individual claim in these patterns looks alarming in isolation. The agent finds the signal that's visible across thousands of claims at once.
 
Compliance Automation
Compliance Workflow Automation Agent
Enforces SLA timelines, generates regulatory filings, routes escalations, and maintains an immutable compliance audit trail without manual intervention. Your compliance team manages exceptions and reviews filings. The agent handles the documentation and routing.
 
Supplier Monitoring
Supplier Performance Monitoring Agent
Continuously scores your authorized service network on repair quality, cost efficiency, and compliance adherence. Underperformers are flagged automatically and contract review workflows get triggered. Supplier relationships managed from a position of continuous, documented evidence.
 
Financial Forecasting
Financial Risk Forecasting Agent
Predictive agents model future liability exposure by product line, geography, and age cohort, enabling proactive financial planning and pricing adjustments before losses occur. Static actuarial models updated by live claim velocity data.
 
Quality Intelligence
Operational Intelligence Hub
Synthesizes warranty claim signals with product telemetry, field service data, and customer feedback to identify systemic quality issues early. A component failure pattern concentrating in a specific production cohort appears in claim data weeks before it reaches recall consideration.
 
 
68%
Reduction in reserve leakage with AI-driven dynamic reserving versus monthly manual cycles
Warranty Intelligence Deployment Data
$9.4M
Average annual financial recovery across fraud, supplier costs, and reserve optimization per enterprise
Customer Outcomes, 2023–2024
4.2x
Faster compliance cycle when agents automate regulatory filings, SLAs, and supplier accountability
Warranty Intelligence Deployment Data
99.1%
Claim categorization accuracy. Agents classify every claim correctly so reserve models work on reliable data.
Platform Accuracy Benchmarking

Six agents protect every dimension
of your warranty program's financial integrity.

The Warranty Intelligence solution is configured to your specific product mix, service network structure, reserve methodology, and regulatory environment. The agents enforce your policies, monitor your suppliers, and update your reserves against your actual claim patterns.

Reserves that reflect current claim velocity, earnings surprises become a choice, not a structural inevitability
Reserve Management
Reserves that reflect current claim velocity, earnings surprises become a choice, not a structural inevitability
The Reserve Intelligence Engine analyzes claim velocity, product cohort data, and historical outcomes to generate dynamic reserve recommendations updated in real time. When claim rates accelerate, your reserve level adjusts immediately rather than waiting for the monthly cycle. Your CFO sees the liability trend as it develops.
CFOs and Finance Teams
Cross-claim pattern detection that surfaces fraud before it accumulates to a material loss
Warranty Fraud Detection
Cross-claim pattern detection that surfaces fraud before it accumulates to a material loss
The Fraud and Anomaly Detection Agent applies behavioral models across your entire claim universe simultaneously. Duplicate submissions, inflated repair costs that deviate from network norms, and unauthorized service provider patterns all surface in real time. The agent finds the signal only visible across thousands of claims at once.
Head of Warranty and Service Operations
Service partners scored continuously on cost, quality, and compliance, with automatic escalation of underperformers
Supplier Performance Management
Service partners scored continuously on cost, quality, and compliance, with automatic escalation of underperformers
The Supplier Performance Agent continuously scores your authorized service network against network benchmarks. Underperformers are flagged automatically and contract review workflows triggered. Your supplier relationships are managed from a position of continuous, documented evidence. 
VP Supply Chain and Supplier Quality Leaders
Systemic quality issues identified in claim data before they reach recall threshold
Quality Signal Intelligence
Systemic quality issues identified in claim data before they reach recall threshold
The Operational Intelligence Hub synthesizes warranty claim signals with product telemetry and field service data to identify systemic quality issues early. A component failure pattern concentrating in a specific production cohort or geography appears in claim data weeks before it reaches formal recall consideration. Your engineering and quality teams see it in time to investigate proactively.
Chief Product Officers and VP Engineering

Connects to the systems that you already run.

 
SAP
ERP Integration
 
Oracle D365
Warranty Management
 
Dealer Portal
Service Network
 
Product Telemetry
IoT Data Feeds
 
Regulatory Filing
Compliance Output
 
Claims Systems
Intake Connectors
 
 

Three ways Warranty Intelligence delivers
for your organization.

Your warranty program has its own product mix, service network structure, reserve methodology, and regulatory environment. Warranty Intelligence is configured to your specific program.

01
Warranty Technology and Finance Systems Teams
Build your own warranty intelligence platform on CAMS.
Your team has the warranty domain expertise. CAMS provides the agent infrastructure. Build reserve intelligence, fraud detection, and compliance automation specific to your product lines and service network, with governance built in from the start.
  • Agent Studio for custom warranty workflow automation
  • Pre-built connectors to major warranty management and ERP systems
  • Claims data ingestion from dealer portals and service partner systems
  • AgentEval to validate reserve and fraud models before live deployment
  • AI Agent Control Tower for full warranty program visibility and performance monitoring
02
CFOs, Warranty Directors, and Service Operations Leaders
Deploy Warranty Intelligence, configured for your program and service network.
Warranty Intelligence is production-ready. We connect it to your claims systems, configure the reserve models against your product cohort data, and calibrate the fraud detection to your specific service network patterns. Most customers see their first reserve and fraud intelligence within six weeks of deployment.
  • Claims system integration with your warranty management and ERP platforms
  • Reserve model configuration aligned to your actuarial methodology and risk appetite
  • Fraud detection calibrated to your service network and claim mix
  • Supplier performance scoring aligned to your service partner agreement terms
  • Regulatory filing automation configured to your compliance obligations by market
03
CEOs and CFOs with a Specific Warranty Risk Challenge
Bring us your warranty challenge. We build the solution on CAMS.
A custom recall early warning system, a service network fraud intelligence platform, a warranty reserve forecasting model for a new product category. You bring the domain knowledge. We build the agentic solution on CAMS, governed and auditable from day one.
  • Warranty program architecture design with your finance and operations leadership
  • Rapid build using CAMS as the development foundation
  • Integration with your existing warranty management, ERP, and dealer systems
  • Reserve model validation with your actuarial team
  • Deployment, validation, and ongoing performance monitoring post-launch

Questions that warranty and finance leaders ask us

If your question is not here, our team will answer it directly.

Talk to a Specialist →
How does the Reserve Intelligence Engine integrate with our existing actuarial methodology?
The Reserve Intelligence Engine is configured to operate within your established actuarial framework rather than replacing it. During onboarding, we work with your actuarial team to align the reserve model's parameters, product cohort definitions, and confidence thresholds to your current methodology. The engine then applies that methodology continuously against live claim velocity data rather than periodic snapshots. Your actuaries review and approve the dynamic recommendations.
How is the fraud detection calibrated to avoid flagging legitimate dealer repair variations as anomalies?
The Fraud and Anomaly Detection Agent is calibrated against your service network's actual cost and repair frequency baselines during the initial deployment period. Legitimate regional cost variations, authorized repair procedure differences, and product-specific repair complexity factors are incorporated into the baseline model before fraud thresholds are set. Typical false positive rates drop below 3% within twelve weeks of baseline calibration.
Can Warranty Intelligence support global warranty programs with different regulatory requirements by market?
Yes. Warranty Intelligence supports multi-market warranty programs with different regulatory filing requirements, statutory warranty obligations, and service network structures by country. The Compliance Workflow Agent maintains separate compliance configurations by market, applying the applicable regulatory framework and filing deadlines for each geography where your warranty obligations exist.
How does the quality signal intelligence capability avoid triggering unnecessary product investigations?
The Operational Intelligence Hub applies statistical significance testing before surfacing quality signals to your engineering and quality teams. A single repair frequency anomaly at a single dealer does not trigger a signal. The agent looks for patterns that are statistically meaningful across production cohorts, geographies, or service networks simultaneously before routing an investigation recommendation. The threshold for routing a quality signal is configurable to your product risk classification and recall decision framework.
What is the typical timeline from engagement start to live reserve and fraud intelligence?
For organizations with standard warranty management and ERP infrastructure, the initial claims data ingestion and fraud detection capability is live within four to six weeks of engagement start. The Reserve Intelligence Engine requires a minimum of twelve months of historical claims data to produce reliable dynamic reserve recommendations. Most customers see initial reserve and fraud intelligence within six to eight weeks of full deployment.
 
 
 
Warranty Intelligence · Built on CAMS by Covasant

Your warranty program carries more financial risk than your current tools
can see in real time.

See how Warranty Intelligence gives your finance, operations, and quality teams a live, complete view of your warranty program's financial exposure, fraud patterns, and quality signals. A demo built around your specific products, service network, and reserve methodology.