Strategic Modernization on Azure: Building an AI-Ready Foundation for a Global Financial Services Firm — in 12 Weeks.
Industry
Global Financial Services
Service
Data Platform Modernization
Duration
12 weeks
Team
4 Agilityx consultants + AI Agent Suite
Data Sources
50+ global sources unified
The Situation
A leading global financial services firm was struggling with a fragmented data landscape across its international branches, with critical data siloed in legacy on-premise systems and disparate cloud pockets. Their existing Azure environment was underutilized, with manual Azure Data Factory (ADF) pipeline development creating a six-month backlog for new analytics requests.
The firm's leadership required a unified, high-performance architecture to support real-time risk reporting and future Azure OpenAI initiatives. However, the transition was stalled by the complexity of integrating with Microsoft Entra ID (Azure AD) for federated governance and ensuring strict regulatory compliance across multiple jurisdictions.
They needed a partner who could leverage the full Microsoft Fabric and Azure Synapse stack to deliver a "360-degree view" of their global operations within a single quarter.
The Approach
Discovery(Week 1–2)
AI Agents
Automatically profiled metadata across 50+ global sources to identify schema drift and hybrid connectivity gaps.
Consultants
Prioritized business-critical KPIs and mapped complex regulatory compliance requirements.
Architecture(Week 2–4)
AI Agents
Programmatically generated blueprints for a Microsoft Fabric Lakehouse aligned with Data Mesh principles.
Consultants
Co-designed the security framework, integrating Microsoft Entra ID and Azure Purview for global governance.
Implementation(Week 4–10)
AI Agents
Generated 80% of Azure Data Factory pipeline code and logic for high-volume ingestion.
Consultants
Resolved complex identity matching and managed hybrid integration points with legacy on-prem systems.
Validation(Week 10–11)
AI Agents
Performed automated reconciliation across billions of rows to ensure 100% data integrity.
Consultants
Conducted rigorous security audits and validated the governed semantic layer in Power BI.
Enablement(Week 11–12)
AI Agents
Auto-generated runbooks and technical documentation for the new Azure-native environment.
Consultants
Trained internal teams to maintain the platform and extend it with Azure OpenAI workflows.
Traditional vs. Agilityx
| Dimension | Traditional | Agilityx |
|---|---|---|
| ADF Pipeline Development | 4–6 months manual build | 6 weeks (AI-generated code) |
| Identity & Security Integration | 8 weeks (Manual Entra ID setup) | 2 weeks (AI-accelerated blueprints) |
| Semantic Layer Deployment | Fragmented manual reports | Governed Power BI templates |
| Infrastructure Performance | Unmanaged cloud spend | 45% lower operational overhead |
| Total Timeline | 12+ months | 12 weeks |
ADF Pipeline Development
Traditional
4–6 months manual build
Agilityx
6 weeks (AI-generated code)
Identity & Security Integration
Traditional
8 weeks (Manual Entra ID setup)
Agilityx
2 weeks (AI-accelerated blueprints)
Semantic Layer Deployment
Traditional
Fragmented manual reports
Agilityx
Governed Power BI templates
Infrastructure Performance
Traditional
Unmanaged cloud spend
Agilityx
45% lower operational overhead
Total Timeline
Traditional
12+ months
Agilityx
12 weeks
The Outcomes
50+
Global sources unified
Successfully consolidated 50+ sources into a single, high-performance Microsoft Fabric Lakehouse.
45%
Faster integration
Significantly reduced pipeline development time through agent-driven code generation.
Zero-Trust
Security implemented
Fully governed environment with seamless Entra ID and Azure Purview integration.
AI-Ready
Foundation established
Technical control layer necessary to launch production-grade Azure OpenAI agents.
"Agilityx didn't just move us to the cloud; they built a strategic growth engine. Their deep understanding of the Azure ecosystem, combined with AI agents that accelerated our ADF development, allowed us to hit our board-mandated deadlines six months early. We finally have a data foundation we can trust."
Chief Information Officer
Global Financial Services Firm
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