REGULATED INDUSTRY AI
Compliance-first AI for insurance, fintech & healthcare
Production AI for regulated industries — built from day one with audit trails, human-in-the-loop review, and multi-tenant data isolation. Insurance, fintech, healthcare, and legal sectors served.
Key Features
Compliance-first architecture with full audit trails
Human-in-the-loop review workflows
Multi-tenant data isolation
RAG chatbot with regulatory guardrails
How We Work Together
A proven methodology that delivers results
Discovery
We start with understanding your business, challenges, and goals through workshops and interviews.
Design
Together we design the solution architecture and create a detailed implementation plan.
Deliver
Iterative implementation with regular demos and feedback loops to ensure alignment.
Support
Post-launch support, knowledge transfer, and ongoing optimization recommendations.
Use Cases
- AI-powered customer service chatbots
- Automated claims processing
- Intelligent document extraction
- AI-assisted underwriting decisions
- Automated compliance documentation
- AI decision audit trails
Ideal For
- Regulated industries (insurance, fintech, healthcare)
- Insurance, fintech, and legal organizations
- Teams with compliance and audit requirements
Not Ideal For
- Companies without digitized documents
- Organizations without defined processes
- Very small teams without AI capacity
Deliverables
Deliverables
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01Compliance architecture document
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02Working RAG system with audit trail
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03Human review workflow
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04Regulatory compliance report
Technology Stack
Timeline
8-12 weeks
Estimated project duration
Related Case Studies
RAG Document Processing System
At Insly, I led development of a RAG (Retrieval-Augmented Generation) system that gives insurance brokers fast, context-aware answers about policy details. The system combines traditional search with vector embeddings to handle complex queries across 23 different insurance providers.
Challenge
Insurance brokers needed to quickly find relevant information across thousands of policy documents from 23 different insurers, each with unique formats and terminology.
Microservices Migration
CloudAcademy needed to migrate their content authorization service from Kotlin to Go as part of a broader standardization effort. I led this migration while ensuring zero downtime and creating new microservices following DDD patterns.
Challenge
Legacy Kotlin service had performance bottlenecks and was difficult to maintain. Team needed to standardize on Go for better consistency across microservices.
Fleet Analytics & Driver Planning Platform
I built a fleet analytics platform for a logistics company managing 300+ trucks and 400+ drivers. The system aggregates data from multiple internal sources—scheduling system (Navigator), HR database, and vehicle registry—to provide unified reporting on driver-vehicle balance, anomaly detection, and operational metrics.
Challenge
Operations data scattered across scheduling system, HR database, and vehicle registry with no unified view of driver availability vs fleet capacity.
Ready to Transform Your Business?
Let's discuss how I can help you achieve your goals. The first consultation is free.