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Case Study

Accelerating Cloud-First Transformation with AI-Driven DevSecOps and Observability

 

Industry

Asset & Wealth Management

Location

USA

Our Contributions

Cloud Transformation, DevSecOps Modernization, AIOps & Observability

Technologies

Microsoft Azure, GitLab, AI-Driven Automation

Coforge partnered with a leading U.S.-based investment management firm to modernize its mission-critical wealth management platform through a cloud-first, AI-driven transformation. The organization operated a highly regulated, large-scale digital ecosystem with complex infrastructure, middleware, and containerized workloads.

As regulatory expectations and client experience demands increased, the firm required a scalable, secure, and efficient cloud platform. Coforge enabled a seamless migration to Microsoft Azure while embedding AI-driven DevSecOps, automation, and observability, thereby enhancing innovation, operational efficiency, and regulatory confidence.

Transformation timeline

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The Challenge

The client operated a complex, highly regulated IT environment with fragmented DevOps tooling, limited observability, and increasing operational costs. Managing large-scale infrastructure and high-velocity workloads while maintaining compliance and system stability posed significant challenges.

Additionally, slow release cycles and inconsistent deployment processes impacted developer productivity and time-to-market. The lack of unified monitoring and automation limited the organization’s ability to proactively detect and resolve issues.

The firm required a modern, cloud-native operating model that could improve efficiency, enhance security, and support continuous innovation while ensuring uninterrupted client service.

Our Approach

Cloud-Native Platform Modernization

Migrated core workloads to Microsoft Azure, enabling a scalable, secure, and resilient cloud infrastructure.

Unified DevSecOps Platform

Consolidated fragmented DevOps tools into a standardized GitLab-based platform to streamline build, deploy, and operate workflows.

End-to-End Observability Enablement

Implemented full-stack observability across applications, middleware, and infrastructure for real-time monitoring and proactive issue detection.

AI-Driven Automation & AIOps

Leveraged intelligent automation to enable predictive operations, faster root-cause analysis, and improved incident management.

Governance & Continuous Compliance

Embedded policy-driven governance and automated compliance controls to strengthen security and regulatory adherence.

Partner / Technology Ecosystem

  • Microsoft Azure 

  • GitLab DevSecOps Platform 

  • AIOps & Observability Tools 

  • Automation & Governance Frameworks

 

Impact to Date

+40%

Improvement in Developer Productivity

-30%

Reduction in Operational Expenditure

+60%

Faster Deployments

-80%

Time Savings for Agents