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AI/ML Architecture · RAG + Vector + LLM Stack
Retrieval-Augmented Intelligence for Premium Audit
A full RAG pipeline enriches every AI audit decision with current regulatory rules, payroll data, OSHA records, and historical loss patterns — grounding LLM outputs in verified insurance domain knowledge. Vector similarity search retrieves the most relevant context in under 200ms.
RAG Pipeline — Document-to-Decision Flow
Foundation Model Stack
Vector Store — Embedding Dimensions
Each document type is embedded using domain-specific models. Higher dimensions = more semantic precision for complex insurance concepts.
Query Pipeline Performance
MLOps Pipeline — Model Lifecycle
Feature Store — Premium Audit Domain Features
Risk & Security Architecture · Programme-Level
Technology Risk Management & Zero Trust Security
Multi-layered security architecture aligned to NIST CSF 2.0 and SOC2 Type II. Zero Trust network model with identity-centric access, data encryption at every layer, and AI governance controls ensuring explainability and auditability of every AI-assisted decision.
Technology Risk Register — Click to explore
RiskDescriptionScoreStatusOwner
Risk Heat Map
Low Moderate High Critical
Risk by Category
Zero Trust Security Architecture — Defence in Depth
Compliance & Regulatory Framework
AI Governance Controls
Technology Investment Value Case
Total 3-Year Technology-Enabled Value
$0M
Across AI automation, data intelligence, process efficiency and competitive positioning
14 months
Tech Payback Period
312%
3-Year ROI
Value by Technology Layer ($M/yr)
Capability Maturity — Current vs Target
Technology Value Drivers — Click to explore
AI Model Impact — Per Model ROI
Build vs Buy vs Partner — Technology Decisions
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Component Detail