ZephyrAustralia-based SIU decisioning

Intelligence at Enterprise Scale

Turning complex data into actionable intelligence across every system, claim, and transaction.

Explainable AIAudit-ready decisionsEnterprise-grade security
Claim triage snapshotLive
Real-time queueExplainability layer

Claim 14291

High risk

92

Risk score

Claim 14274

Review

64

Risk score

Claim 14258

Low risk

18

Risk score

Every score includes plain-English reasons, contributing signals, and audit trails.

The problem

False positives are overwhelming SIU teams.

Legitimate claims are escalated too often, creating backlogs that delay real fraud detection and drain investigator time.

SIU investigators are stuck triaging volume instead of focusing on high-risk behavior. Generic scoring models and opaque rules increase false escalations, slowing both claims handling and fraud response.

  • Manual queues grow faster than teams can clear them.
  • Opaque rules create mistrust and rework for investigators.
  • Low-risk claims get delayed, hurting customer experience.

False positives dominate queues

3 in 4

Escalations can be low-risk claims when triage lacks explainability.

Illustrative benchmark — refine with carrier data.

The solution

Explainable claims triage built for SIU workflows.

Zephyr blends AI scoring with transparent reasoning so investigators get fewer, higher-quality escalations.

Pre-SIU claim ranking

Automatically prioritize claims before they reach investigators, so only the highest-risk cases enter the SIU queue.

Plain-English explanations

Every score includes clear, audit-ready reasoning that investigators can trust and defend.

Lower false positive escalations

Reduce unnecessary handoffs and keep legitimate claims moving without delays.

Focused fraud investigations

Keep senior analysts on real fraud patterns instead of triaging noise.

Explainability layer

Clear reasoning for every decision.

Each score comes with the top contributing factors, confidence bands, and audit trails that map directly to SIU policies.

Top drivers

  • Prior claim timing outside expected cadence
  • Vehicle damage pattern inconsistent with report
  • Policy change within 7 days of incident

How it works

A simple workflow that integrates fast.

Designed to fit seamlessly into existing claims systems with minimal disruption.

Step 101

Ingest claims signals

Zephyr connects to core claims data, policy context, and third-party signals.

Step 202

Explainable risk scoring

Claims are ranked with transparent drivers so SIU teams see why each score was assigned.

Step 303

Route with confidence

Only high-risk claims reach investigators while low-risk cases move forward automatically.

Workflow visualization

From intake to SIU routing in minutes.

Zephyr scores every claim, explains the drivers, and routes high-risk cases directly into SIU queues with audit-ready summaries.

Claim ingestionStage 1
Risk scoringStage 2
ExplainabilityStage 3
SIU routingStage 4

Value proposition

Outcomes SIU leaders can measure.

Zephyr delivers real operational impact while keeping decisions transparent and defensible.

Illustrative false-positive reduction

30–45%

Benchmarks vary by carrier and data maturity.

Illustrative investigator hours saved

10+ hrs/week

Per investigator, based on streamlined triage.

Illustrative queue time improvement

2–3 days

Typical reduction in low-risk escalation delays.

Illustrative benchmarks — validate with your data.

Contact

Ready to reduce false positives?

Get a tailored walkthrough of Zephyr's explainable claims triage and see how it integrates with your SIU workflows.

Based in Australia
Contact Zephyr
Prefer email? Reach us at mattsmith.info@gmail.com.
Response within one business day.