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// CASE FILE 06 — CODENAME: SHIELD WALL — ENTERPRISE · FORTUNE 500

FMGLOBAL, ZERO-DOWNTIME GENAI.

Led the GenAI platform modernisation for FMGlobal — migrating critical insurance workloads to secure Azure AI infrastructure with zero downtime, then arming the platform with guardrailed LLM endpoints, enterprise RAG, and live MCP tool-use. Insurance is the business of holding the line. So was this migration.

Inspired By
Captain America
Role
GenAI Lead
Client
Fortune 500 Insurer
Downtime
Zero
MigrateGuardrailGroundGovernHold the Line MigrateGuardrailGroundGovernHold the Line
FILE 01 — THE MISSION

MODERNISE THE PLANE WHILE IT'S FLYING

Insurance workloads don't get maintenance windows. The mandate: move FMGlobal's critical insurance workloads onto secure Azure AI infrastructure — and modernise the GenAI platform around them — without a minute of downtime.

Delivered as lead: the zero-downtime migration itself, multimodal LLM endpoints on Azure AI Foundry with inference auto-scaling and Azure AI Content Safety guardrails, enterprise RAG grounded in Azure AI Search hybrid indexing, live MCP tool-use against Azure Boards — and the CI/CD governance an enterprise actually audits.

"Fortune 500 trust is won in the cutover."

  • ENGAGEMENT FILE
  • Zero-downtime — staged, validated migration
  • Guardrails — Azure AI Content Safety
  • RAG — vector + semantic hybrid indexing
  • MCP — Azure Boards, live work items
  • Governance — 20+ microservices, JFrog gates
  • Note — client internals withheld
FILE 02 — WHAT SHIPPED

FIVE FRONTS, ONE PLATFORM

01

Zero-Downtime Migration

Critical insurance workloads moved to secure Azure AI infrastructure with no service interruption — staged cutovers, rollback paths, and validation at every step.

02

Guardrailed LLM Endpoints

Multimodal LLMs deployed on Azure AI Foundry — configured endpoints, inference auto-scaling, and Azure AI Content Safety standing in front of production traffic.

03

Enterprise RAG

Document ingestion, chunking, and vector + semantic hybrid indexing in Azure AI Search — measurably better grounded responses for Fortune 500 workloads.

04

MCP for Azure Boards

Model Context Protocol integration giving AI assistants live access to tickets, sprint data, and work items — real enterprise agentic tool-use, not a demo.

05

CI/CD Governance

Standardised pipeline governance across 20+ microservices, with JFrog Artifactory and Docker image promotion gates for container supply-chain auditability.

FILE 03 — THE PLATFORM

SECURE BY ARCHITECTURE

Enterprise Users

Insurance Workflows

AI Assistants

Agentic Tool-Use

▼ ▼ ▼
Content Safety Guardrails

Every Request Screened

▼ ▼ ▼
Azure AI Foundry

Multimodal LLM Endpoints · Auto-Scaling

Azure AI Search

Hybrid Vector + Semantic Index

MCP Server

Azure Boards · Live Work Items

▼ ▼ ▼
CI/CD Spine

20+ Microservices · JFrog Promotion Gates

Enterprise engagement — architecture shown, client internals withheld
0
Minutes of Downtime
20+
Microservices Governed
100%
Production Endpoints Guardrailed
END OF FILE

MISSION LOGGED. RETURN TO BASE.