MERIDIAN_
62%
Faster claims
Avg days → 5.3 days (–13 days)
$3.2M
Fraud loss reduction
In year one
+38
CSAT points
NPS +24 net change
3.1x
First-year ROI
Payback in 8 months
The challenge
STUCK IN PAPER
Meridian’s claims operation was buried in manual work. Average claim took 14 days to close, and adjusters spent 60% of their day re-keying data from PDFs into legacy systems. Fraud losses were creeping up year over year, but the SIU team was overwhelmed reviewing low-priority cases. Leadership had already tested multiple AI for insurance companies pilots with other vendors; each produced a fragile chatbot and no measurable AI ROI. The board was AI-skeptical and wanted audited outcomes or nothing.
14 days
Avg claim cycle
$6.8M
Annual fraud loss
60%
Adjuster re-keying time
The approach
FOUR PHASES
We sequenced the insurance AI solutions program into four phases, each designed to be cash-flow positive on its own. Every phase shipped to production, generated visible AI ROI, and de-risked the next layer of AI for insurance companies.
Phase 1
Weeks 1–8Claims Automation
NLP-powered extraction automated 70% of intake from PDFs and email
Routing rules engine prioritized and assigned claims in real time
Adjuster cockpit UI surfaced next-best actions and required documents
Audit trail logging satisfied compliance and regulator review needs
Phase 2
Weeks 8–16Fraud Detection AI
Real-time ML model scored every claim with AI fraud detection insurance features
Gradient-boosted models trained on 3 years of historical loss data
Feature store on Snowflake powered SHAP explanations for regulators
SIU triage workflows pushed only high-risk claims for human review
Phase 3
Weeks 16–22Customer Experience AI
Multi-turn claims status chatbot for policyholders, 24/7
Voice channel integration for phone-based updates
Knowledge-base FAQ for common coverage questions
Agent handoff protocol preserved full conversation context
Phase 4
Weeks 22–36Unified Data Platform
Snowflake warehouse consolidated policy, claims, and SIU data
ETL/ELT transformation layer standardized inconsistent source systems
Real-time CDC pipelines pushed events to downstream apps and dashboards
Executive dashboards surfaced AI ROI and operational KPIs by line of business
"
“alien.fi didn’t just deliver technology :- they delivered a transformation. Their team understood our business deeply, proposed insurance AI solutions that were realistic and well-scoped, and stood by us through every phase. We’ve already extended into a multi-year managed services partnership.”
SR
Sarah Reyes
Chief Operations Officer, Meridian Insurance
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