Customer Stories
Global HealthTech Leader Ensures Faster Delivery and Stronger Governance with AI-Ready DevOps Foundation
Xebia helped a US-based healthcare technology provider consolidate fragmented DevOps platforms into a secure, AI-ready foundation built for scale, compliance, and innovation.
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At a Glance
Challenge
A fragmented DevOps landscape limited security consistency, operational efficiency, and AI adoption at scale.
Solution
Consolidation onto GitHub Enterprise Cloud with standardized pipelines, embedded security, and AI enablement.
Results
A secure, scalable DevOps foundation improving developer experience and accelerating AI-assisted development.
The Client
A US-based healthcare technology provider enabling healthcare organizations across the world to accelerate time to value and save costs by adopting reliable, secure, and high-performing digital health technology solutions.
The Challenge: Fragmented Platforms Limiting Secure Growth
As the organization grew, so did its tooling landscape. Multiple DevOps platforms coexisted, each with its own repositories, pipelines, and security configurations. Different workflows, inconsistent security practices, increased operational overhead and limited visibility into development initiatives posed significant challenges. As the organization looked toward automation and AI-assisted development, it became clear that a fragmented foundation would limit progress. Before adopting AI at scale, the platform itself needed to be simplified and standardized.
The Solution: Standardizing the Foundation for Secure AI Adoption
Xebia partnered with the organization to consolidate development onto GitHub Enterprise Cloud, creating a single, secure, and scalable DevOps platform.
The engagement was not positioned as a lift-and-shift migration. Instead, it was approached as a strategic platform reset. The goal was to reduce complexity, standardize workflows, and embed security into the delivery lifecycle—while preparing teams for automation and AI adoption.
Over several months, Xebia led a structured migration that included:
- Full repository and pipeline inventory and analysis
- Migration of thousands of repositories from multiple platforms
- Pipeline consolidation using GitHub Actions
- A proof of concept for GitHub Advanced Security
- Targeted training for administrators and developers, including GitHub Copilot enablement
The Results: A Secure, Scalable DevOps Engine Built for Scale
The transformation delivered immediate clarity and long-term strategic value:
- A single, standardized DevOps platform
- Reduced pipeline complexity and maintenance effort
- Improved security through automation
- Faster onboarding and better developer experience
With a simplified foundation in place, teams were able to adopt AI-assisted development without added friction. What started as a migration has become a strategic reset, positioning the organization to innovate faster, safer, and with confidence in a highly regulated environment.
Looking Ahead
With consolidation complete, the organization is now focused on expanding AI usage, deepening security practices, and continuing cloud modernization.
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