Skip to main content
Insurance Claims and Risk Analytics

Investigate claims, policy, and fraud indicators in plain English.

Use Cayra with an approved insurance data source to review patterns and exceptions. Underwriting, fraud, and claims decisions require authorized human validation.

Review risk indicators
Explore claims patterns, fraud indicators, and risk segments within the approved data and model scope.
Document the security scope
Review deployment, processors, permissions, retention, support access, and operating responsibility before production use.
Measure operating impact
Compare review time, exception handling, and claims workflow outcomes against an approved baseline.
Reviewable
Risk indicators
Scoped
Data handling
Measured
Against your baseline
Pressure points

Strategic challenges

Insurance executives face critical challenges around data security, risk prediction, and institutional autonomy as they lead their organizations into the future.

We detect fraud risks too late

While fraud patterns form and costs accumulate, executives cannot see them until reports are prepared. We need proactive prevention instead of reactive detection.

High fraud losses

Future risk profile is unpredictable

Questions about which segments are risky, which products are profitable, and which regions are problematic are answered with intuition, not data-driven foresight.

Risky underwriting decisions

Exposing institutional data to external systems feels risky

Cloud-based solutions carry data leakage risks for sensitive policy and claims data, causing organizations to delay modern analytics and fall behind competitors.

Digital transformation delays

Platform dependency threatens institutional autonomy

Relying on external platforms creates risks of losing pricing freedom and strategic control.

Loss of strategic flexibility
What Cayra changes

Create strategic value from your data

Cayra empowers executives to transform institutional data into strategic decisions. Predict the future while maintaining control through on-premise security.

Strategic Foresight

Build tomorrow's risk strategies from today's data

Cayra gives executives the power to predict fraud and claims trends. Develop proactive strategies instead of reactive reports.

Take preventive action 6 months ahead with fraud risk prediction
Forecast claims cost trends and plan budgets accordingly
Make segment and product performance predictable
Secure Transformation

Accelerate digital transformation with on-premise security

Leverage the power of modern analytics without data security concerns. Your sensitive data stays within your institution.

All sensitive data remains on your own servers
Preserve data-flow responsibility and institutional independence
Privacy and security under your complete control
Profitability Optimization

Reduce fraud costs, increase profitability

Minimize fraud losses with predictive risk management, optimize claims expenses, and improve underwriting quality.

Potential to reduce fraud losses up to 30%
Optimize claims cost management
Improve underwriting quality with data insights
Insurance workflows

Start with the workflows where delayed answers create cost, risk, or review backlog.

Use one insurance intelligence layer across claims review, fraud analysis, risk scoring, and segmentation instead of rebuilding the same context in every team.

Claims review

Move claims analysis from manual summaries into an action loop

Claims teams should not need separate reporting cycles to decide which cases, patterns, or regions need attention first.

Claims requiring faster review
Repeated claim patterns by branch or product
Cases that need human escalation
Fraud detection

Bring suspicious patterns into one shorter investigation path

Fraud teams can narrow anomaly context faster before opening another manual investigation chain across systems.

Suspicious claim clusters
Repeat anomaly checks
Escalation to the right fraud team
Risk and pricing

Keep scoring, exposure, and pricing questions visible together

Underwriting and leadership teams need one operating context for risk movement instead of reconciling separate scoring views and portfolio notes.

Risk movement by segment or product
Pricing review triggers
Exposure shifts across the portfolio
Cross-team action

Turn portfolio signals into action instead of another report

When fraud, claims, or risk signals matter, teams need prompts, ownership, and handoff paths rather than passive reporting alone.

Signals that trigger investigation
Patterns that require pricing review
Operational updates shared across teams
Proof and control

Institutional Trust and Data Control

Cayra builds trust through on-premise architecture. Your sensitive insurance data stays within your institution, under your control.

We can leverage modern fraud prevention capabilities without data security concerns. Our sensitive data stays within our institution.

IT/Security Director
Insurance company
On-premise
Full data control
Transparent
Visible governance
Independent
Institutional autonomy

On-Premise Security

Document the application runtime, model processors, database permissions, retained records, network path, and operating ownership for the selected insurance deployment.

Governance Control

Define identity and data scope, then confirm which user, query, and system events are recorded for review.

Institutional Independence

No need to replace your existing core systems. Cayra integrates with your current insurance infrastructure and preserves institutional autonomy.

Example questions

These are the kinds of questions claims, fraud, and underwriting teams ask every day.

Show the actual insurance questions Cayra can answer, route, or validate instead of describing analytics in abstract terms.

Strategic Foresight

Predictive questions executives ask for future-period risk and opportunity planning.

Which segments will see increasing fraud risk next quarter?
Which products will face rising claims costs in the next 6 months?
Which geographic regions are at profitability risk?

Investment Decisions

Strategic questions needed for portfolio strategy and resource allocation.

Which insurance products should we prioritize for investment?
What will the risk profile look like for regions we're planning to enter?
Which areas should we focus on to improve underwriting quality?

Risk Management

Questions requiring predictable data to manage institutional risk portfolio.

What fraud risks will our institution face in the future?
Are we at risk of losing our competitive advantage?
Which portfolio segments may face sustainability challenges?

Institutional Transformation

Strategic questions needed for the institution's data-driven cultural transformation.

How can we build a data-driven underwriting culture?
How can we accelerate digital transformation securely?
Where do we want our institution in 5 years, and does our data support this vision?
FAQ

Questions teams usually ask before moving insurance workflows into Cayra.

Keep rollout questions visible: source systems, governance, first pilot workflow, and how claims and risk teams adopt the shared answer layer.

SYSTEM COMPATIBILITY

Assess ERP and CRM data through supported database paths

ERP- and CRM-derived data can be evaluated when it is exposed through a supported database, reporting replica, or approved export. This is not a native application connector.

erp data paths - compatibility assessment

Use a customer-accessible supported database, reporting replica, or approved export.

DATABASE INTEGRATION
SAP ERP logo
SAP ERP and ECC data

Database-level assessment through an eligible reporting database

Oracle logo
Oracle application data

Oracle Database Beta or a separately scoped export path

Microsoft Dynamics 365 logo
Dynamics 365 exported data

Compatibility assessment for an approved SQL reporting export

unlisted erp systems
Logo
Mikro
Netsis
Nebim

Regional ERP systems require a separate database or export compatibility review.

crm data paths - compatibility assessment

CRM SaaS products may require an approved export, API, or reporting database.

Microsoft Dynamics 365 CRM logo
Dynamics 365 exported data

Approved export or reporting-database assessment

current database maturity

PostgreSQL and MySQL are Supported; SQL Server is Qualified; MariaDB requires review; Oracle is Beta; MongoDB is Coming Soon.

PostgreSQL logo
PostgreSQL

Supported

MySQL logo
MySQL

Supported

MariaDB logo
MariaDB

Compatibility review through the MySQL path

Microsoft SQL Server logo
Microsoft SQL Server

Qualified support; Azure SQL requires review

MongoDB logo
MongoDB

Coming Soon — not in standard onboarding

Oracle Database logo
Oracle Database

Beta for eligible customer-accessible instances

supported database paths

Compatibility depends on version, network access, authentication, schema design, and customer permissions.

Database-level analytics

Native ERP, CRM, and warehouse connectors are not included in standard database connectivity.

* Enforce read-only operation with a database account restricted to SELECT on approved objects. Industry scenarios and sample values on this page are illustrative, not customer results or performance guarantees.

Evaluate one approved workflow

Start with one approved insurance workflow.

Define the approved insurance data path, privacy boundary, human review, and accountable owner before production use.

Approved source, identity, and database permission scope
Representative questions compared with an authorized reference
Documented deployment, processor, retention, and support responsibilities
Illustrative scenarios are not customer results or performance guarantees.