Industries / Insurance

AI for Underwriting Intelligence, Claims Automation, and Fraud Detection

Solnix builds insurance AI that prices risk more accurately, processes claims faster, and detects fraud before payouts, improving combined ratios and customer experience simultaneously.

3.4×
Faster claims processing
82%
Fraud detection improvement
23%
Reduction in loss ratio
91%
Straight-through processing rate
Book an Insurance AI Review →See a claims triage demoRisk, understood in real time

The product

Solnix AI Insurance Suite

Underwriting, claims and SIU agents that read the file, price the risk and pay faster..

One dashboard for every insurance department. Each department runs its own team of agents on the systems you already use. They handle the routine steps, stop at a checkpoint for the decisions your people own, and record every step for audit.

8
department dashboards
32
specialised agents
14 days
guided tour
Solnix / Insurance / Command centre
Insurance suite overview

In the field

Drone ops in the Insurance suite

Solnix / Insurance / Drone ops
Drone opsHail claim survey · sector 12Roof damage and missing shingles flagged house by house. How it works →

Inside the suite

Pick a department to see how its agents work

Commercial Submission Intake

Reads broker submissions, ACORD forms and loss runs, enriches with property and firmographic data, and ranks by appetite and win likelihood.

  1. 1Starts whenBroker email with submission attachments
  2. 2AgentIntake Agent
  3. 3AgentEnrichment Agent
  4. 4AgentAppetite Agent
  5. 5AgentQuote Prep Agent
  6. 6CheckpointUnderwriter approves
  7. 7ThenSystems are updated and the run is saved to the audit trail

Questions about the Insurance suite

What is the Solnix AI Insurance Suite?

The Solnix AI Insurance Suite is an agent dashboard for insurance with 8 department dashboards and 32 specialised AI agents. Underwriting, claims and SIU agents that read the file, price the risk and pay faster.

Which departments does the Insurance suite cover?

Commercial Submission Intake, FNOL to Payment, SIU Referral Engine, Endorsement Desk, Reserving Analyst, Agency Growth Desk, Rate & Form Filing and Reinsurance Recoveries. Each runs its own agent workflow with a human checkpoint and an audit trail.

What does the Commercial Submission Intake workflow do?

Reads broker submissions, ACORD forms and loss runs, enriches with property and firmographic data, and ranks by appetite and win likelihood. It starts when broker email with submission attachments, runs 4 agents (Intake Agent, Enrichment Agent, Appetite Agent, Quote Prep Agent) and stops for the underwriter to approve.

Does the Insurance suite include drone inspection?

Yes. Drone ops in the Insurance suite runs missions such as hail claim survey · sector 12: roof damage and missing shingles flagged house by house.

How can I try the Insurance suite?

Open https://enterprise.solnixmedia.com/insurance and verify a work email for a 14-day guided tour on sample insurance data.

The Challenge

Margin compression and rising claims complexity

Social inflation, climate volatility, and distribution costs are compressing margins across every line of business.

01

Underwriting Accuracy

Traditional actuarial models underprice tail risk in climate-exposed property and emerging liability lines. Alternative data integration is inconsistent across carriers, leaving systematic mispricing uncorrected.

02

Claims Leakage

The industry loses an estimated $30B annually to claims leakage, overpayments, duplicate claims, and coding errors that evade manual review at scale.

03

Fraud Networks

Organized fraud rings exploit siloed detection systems. First-party and third-party fraud is estimated at 10–15% of total claims volume, with sophisticated rings adapting faster than rules-based detection.

04

Customer Abandonment

72% of policyholders who experience a poor claims experience do not renew. Manual, slow claims processes are the #1 driver of NPS decline in personal and commercial lines.

01

Underwriting Accuracy

Traditional actuarial models underprice tail risk in climate-exposed property and emerging liability lines. Alternative data integration is inconsistent across carriers, leaving systematic mispricing uncorrected.

02

Claims Leakage

The industry loses an estimated $30B annually to claims leakage, overpayments, duplicate claims, and coding errors that evade manual review at scale.

03

Fraud Networks

Organized fraud rings exploit siloed detection systems. First-party and third-party fraud is estimated at 10–15% of total claims volume, with sophisticated rings adapting faster than rules-based detection.

04

Customer Abandonment

72% of policyholders who experience a poor claims experience do not renew. Manual, slow claims processes are the #1 driver of NPS decline in personal and commercial lines.

Education AI Solutions

AI systems across underwriting, claims, and distribution

End-to-End Implementation

End-to-end AI implementation for insurance

Solnix delivers the full lifecycle, from opportunity mapping through production deployment and continuous improvement. The same proven methodology powers every insurance engagement, tailored to your systems, data, and regulatory environment.

Phase 01
01

Discovery & AI Opportunity Mapping

We start by understanding your operations, data landscape, and goals, then map where AI delivers measurable value and where it does not. Every engagement begins with a prioritized opportunity backlog, not a technology pitch.

Stakeholder workshopsProcess & data auditUse-case prioritizationROI & feasibility scoringRisk & compliance review
Deliverable  AI opportunity roadmap with prioritized, sized use cases and a phased delivery plan.
Phase 02
02

Data Foundation & Readiness

AI is only as good as the data behind it. We assess data quality, connect fragmented sources, and build the secure, governed pipelines that production AI depends on, with privacy and compliance designed in from the start.

Data integrationQuality & labelingGovernance & access controlPrivacy / compliance controlsFeature & knowledge stores
Deliverable  Unified, governed data foundation and pipelines ready for model development.
Phase 03
03

Model & Agent Development

We build the models, retrieval systems, and AI agents tailored to your use cases, selecting the right approach (fine-tuning, RAG, multi-agent orchestration) for accuracy, cost, and latency, and validating against your real-world edge cases.

Model selectionRAG & knowledge groundingAgent orchestrationPrompt & policy designEvaluation harness
Deliverable  Validated models and agents benchmarked on your data, with documented accuracy and guardrails.
Phase 04
04

Integration & Workflow Embedding

AI only creates value when it lives inside the tools your teams already use. We embed models and agents into existing systems, surfaces, and workflows, so adoption is natural and human-in-the-loop controls stay in place.

System & API integrationWorkflow embeddingHuman-in-the-loop designRole-based accessChange enablement
Deliverable  AI capabilities integrated into production systems with the human oversight your governance requires.
Phase 05
05

Deployment, Security & Compliance

We deploy to production with the security, monitoring, and compliance controls enterprises require, including bias and fairness testing, audit logging, and the observability needed to operate AI responsibly at scale.

Secure deploymentBias & safety testingMonitoring & observabilityAudit & traceabilityCompliance sign-off
Deliverable  Production deployment with security hardening, monitoring dashboards, and compliance documentation.
Phase 06
06

Optimization & Continuous Improvement

AI systems improve with use. We measure outcomes against the goals set in Phase 01, retrain and tune from live feedback, and expand to the next set of use cases, turning a single deployment into a compounding capability.

Outcome measurementModel retrainingFeedback loopsCost optimizationUse-case expansion
Deliverable  Measured ROI, continuously improving models, and a backlog for the next phase of expansion.

Methodology

How Solnix Builds for Insurance

01, Line of Business Assessment

We map your claims intake, underwriting, and fraud workflows, identifying the specific loss drivers and process bottlenecks with the highest ROI for AI intervention.

02, Data Architecture Review

We assess your policy, claims, and third-party data, identifying quality issues, enrichment opportunities, and integration requirements for model development.

03, Core System Integration

We integrate with Guidewire, Duck Creek, Majesco, and custom policy/claims administration systems. AI outputs surface within existing adjuster workbenches.

04, Regulatory Validation

All AI models used in underwriting or claims decisions are documented with bias testing, adverse action explanation capability, and state-by-state regulatory review support.

05, Performance Monitoring

We track model performance against combined ratio impact, fraud recovery rates, and adjuster adoption metrics. Quarterly model refresh cycles keep performance ahead of claim pattern drift.

FAQ

Questions from CUOs, claims VPs, and CDOs

How do you handle explainability requirements for AI-driven underwriting decisions?+
Can your fraud detection integrate with ISO ClaimSearch and other industry databases?+
What is the typical straight-through processing rate achievable for auto claims?+
How do your models handle distribution shift as claim patterns change after catastrophe events?+

Get Started

Better Underwriting. Faster Claims. Less Fraud.

Solnix builds the AI infrastructure that lets carriers compete on risk selection, operational efficiency, and customer experience, simultaneously.

Request an Insurance AI Assessment →