AI-Powered Claims Automation
Transform FNOL Delays into a Digital Advantage: Reduce LAE by 30% and Cut Claim Cycle Time by 50%
Business First
Code Next
Let’s talk
- PoC in 30 Days
- 24/7 FNOL Intake
- Easy to Integrate
- On-Premises Deployment
- Reduce LAE by 30%
Built for insurers under pressure to deliver faster claims, lower LAE, and higher customer satisfaction
Mid-sized auto insurers face rising customer expectations, increasing LAE, and claim cycle times that now stretch from weeks to nearly a month. The biggest bottleneck behind these challenges is FNOL.
Our AI-Powered FNOL Automation Module eliminates delays, rework, and data inaccuracies that slow claims down—delivering measurable business impact fast.
The Strategic Risk: Why FNOL Is Your Most Costly Bottleneck
Missing or Incorrect FNOL Data = Systemic Delays
75% of U.S. claims managers cite inaccurate or incomplete FNOL as the top cause of downstream rework.
Manual Work Drives Loss Adjustment Expenses (LAE)
Industry analysis shows AI automation can reduce LAE by 25–30%.
Delays Create Customer Frustration and Churn
According to J.D. Power, 80% of auto insurance customers who have a poor claims experience have already left or plan to leave their carrier.
Our Solution: Omnichannel FNOL Intake Automation
We offer a flexible, integratable AI software module that acts as an intelligent co-pilot for FNOL, seamlessly fitting into your existing technology stack.
Plug-and-Play Integration
Our module is platform-agnostic, connecting to any modern CCaaS and core claims system via standard APIs. This allows you to leverage existing technology investments without costly “rip-and-replace” initiatives.
Real-Time Data Validation
Eliminates the primary cause of downstream rework and delay. It captures complete, accurate loss information and immediately transmits it to the core system in a structured format. Targets a 10–15% reduction in overall claim cycle time at intake.
Data Control and Customization
The solution can be tailored to your specific FNOL workflows and even deployed in your private cloud or on-premise. This is a critical differentiator for CIOs concerned with data residency and compliance.
Enterprise-Grade Security
We guarantee an enterprise-ready solution built with data security and compliance at the forefront, including PHI/PII redaction and detailed audit logs.
A Functional Proof of Concept (PoC)
Our PoC isn’t a demo or a simulation. It is a functional component of your claims workflow, designed to deliver measurable outcomes from day one. This low-risk engagement model minimizes commitment and avoids workflow disruption.
| Target KPI (Quantifiable ROI) | Potential Impact (Based on Industry Analysis) |
| Claim Cycle Time Reduction | Automation can compress the overall lifecycle, reducing processing time by up to 50%. |
| LAE Reduction | Industry analysis shows the potential for a 25–30% reduction in Loss Adjustment Expense by automating labor-intensive intake. |
| Customer Experience | Enables a consistent, 24/7 digital claims experience that improves satisfaction and retention. |
| Operational Quality | Fewer errors and missing data, freeing skilled adjusters to focus on higher-value claims. |
“The PoC gives you clarity: what problems AI can solve, what ROI looks like, and how to scale safely.”
Maksym Yevsiukov
Head of AI
Start with a PoC that proves value before committing to full-scale investment
Business First
Code Next
Let’s talk
Methodology: How the PoC Works
Fast. Transparent. Low-Risk.
Discovery
Target workflows (FNOL, data intake, triage) are selected based on business impact. Pain points and success criteria are clarified.
Output: Prioritized workflows, PoC scope, target KPIs, and success metrics.
Technical Alignment
Current architecture, systems, and contact center setup are reviewed. Integration approach, security, and deployment preferences (cloud, hybrid, on-prem) are aligned.
Output: High-level solution architecture, integration map, security and compliance requirements.
Rapid AI Build
AI components are designed and implemented (FNOL assistant, extraction logic, validation pipeline, triage rules). Models are tuned on representative samples.
Output: Functional AI prototype covering all agreed use cases, prepared for integration.
Integration with Your Systems
The prototype is connected to real operational systems (contact center tools, APIs, core platforms). Monitoring and fallback mechanisms are configured.
Output: Integrated PoC environment with end-to-end data flow, ready for pilot use by internal teams.
Pilot Launch
The PoC runs to validate performance. Metrics such as cycle time, accuracy, and workload reduction are measured, forming the basis for strategic decisions.
Output: Impact assessment report, go/no-go recommendation, scale-up plan with projected ROI.
Why Insurers Choose CodeIT
Deep Expertise in Claims Automation
We build AI solutions tailored to real insurance operations: FNOL, data validation, triage, and adjudication support.
Low-Risk PoC Engagement
A 30-day functional PoC minimizes commitment and avoids workflow disruption—ideal for validating ROI before scaling.
Enterprise-Grade Trustworthiness
ISO/IEC 27001 experience and adherence to state insurance data requirements. Every FNOL interaction is recorded for audit and compliance.
Contact Us to Discuss Your FNOL Automation Strategy