50 Data Silos. One Insurance Provider. Real-Time Risk Scoring — Live in 10 Weeks with 70% Cost Reduction.
Industry
Financial Services (Insurance)
Service
Data Platform Architecture
Duration
10 weeks
Team
Agilityx consultants + AI agents
Data Sources
50+ integrated
The Situation
A major insurance provider was paralyzed by 'decision latency' — calculating risk for a new policy took days because data was siloed across 50+ legacy sources. The cost of maintaining this on-premise hardware was rapidly consuming the IT budget, preventing any investment in modern AI models for fraud detection or predictive underwriting.
They needed a modern, cloud-native architecture on Snowflake that could enable a domain-oriented data platform aligned with Data Mesh principles. The goal was to provide an immediate 360-degree view of the customer to enable automated risk scoring.
The project required reducing ongoing infrastructure costs by 70% within a strictly defined 10-week launch window.
The Approach
Mapping(Phase 1)
AI Agents
Ingested metadata and mapped dependencies across 50+ disparate databases.
Consultants
Aligned the target architecture with underwriting and regulatory risk goals.
Design(Phase 2)
AI Agents
Generated migration blueprints for Snowflake, including optimized partitioning strategies.
Consultants
Co-designed the 'Data Mesh' governance model to empower domain-specific teams.
Build(Phase 3)
AI Agents
Automated the generation of integration pipelines and dbt transformation layers.
Consultants
Managed the complex integration of third-party risk data and claims history.
Rigor(Phase 4)
AI Agents
Deployed agents to monitor pipeline health and compute spend in real-time.
Consultants
Directed the technical program to ensure all 50+ sources went live in 10 weeks.
Transfer(Phase 5)
AI Agents
Auto-generated technical documentation and security runbooks.
Consultants
Mentored the internal architecture team on modern cloud-native patterns.
Traditional vs. Agilityx
| Dimension | Traditional | Agilityx |
|---|---|---|
| Planning Phase | 4 months | 2 weeks (AI-accelerated) |
| Source Integration | 2 weeks per source | 50+ prioritized sources in 9 weeks |
| Risk Scoring | Batch (days) | Real-time (minutes) |
| Infrastructure Costs | Over-provisioned | 70% cost reduction |
Planning Phase
Traditional
4 months
Agilityx
2 weeks (AI-accelerated)
Source Integration
Traditional
2 weeks per source
Agilityx
50+ prioritized sources in 9 weeks
Risk Scoring
Traditional
Batch (days)
Agilityx
Real-time (minutes)
Infrastructure Costs
Traditional
Over-provisioned
Agilityx
70% cost reduction
The Outcomes
70%
Cost Savings
Migrating to an elastic cloud foundation eliminated massive on-prem overhead.
10 weeks
Launch
Delivered a production-ready platform for 50+ sources in a single quarter.
Real-Time
Underwriting
Risk scoring now happens in minutes, giving the insurer a competitive edge.
Embedded
Capability
The client's team can now scale the Data Mesh architecture independently.
"Agilityx TPMs resolved our failure modes early, before they turned into delays. They lead with a hands-on platform understanding that traditional consultants just don't have."
Chief Technology Officer
Leading Insurance Provider
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