How a High-Growth US Telco Eliminated Legacy Blockers and Moved to GCP Without Disrupting Core Services


How a High-Growth US Telco Eliminated Legacy Blockers and Moved to GCP Without Disrupting Core Services


A U.S.-based telecommunications and internet service provider, partnered with Galent to accelerate its modernization journey in preparation for a critical Google Cloud Platform (GCP) migration.

Operating on a legacy PHP-based ecosystem, the organization faced increasing complexity due to tightly coupled repositories, shared dependencies, and outdated technology stacks. With a time-sensitive migration deadline and high interdependencies across systems, even minor upgrades carried significant risk.

The engagement focused on enabling a low-risk, insight-driven modernization strategy leveraging AI to assess, prioritize, and prepare the system for seamless cloud migration.

The result: enhanced migration readiness, improved architectural visibility, and a structured path toward full-scale modernization.

Client Challenges:

Several structural and operational challenges emerged:

Time-Sensitive Migration Dependency:The migration required urgent readiness for PHP 8.4, creating a narrow window to assess and upgrade legacy systems without disrupting operations.

Legacy Technology Constraints:The system was built on PHP 7.4 with a shared technology stack spanning 10 interconnected repositories making upgrades complex and tightly coupled.

High Interdependencies Across Systems:APIs and repositories were deeply interlinked, meaning changes in one area could impact critical workflows such as agent operations, provisioning, and circuit management.

Limited Scope for Isolated Remediation:Due to system-wide dependencies, isolated upgrades were not feasible increasing the risk of cascading failures across the ecosystem.

Need for a Low-Risk Validation ApproachBefore committing to full-scale modernization, the organization required a way to assess and validate high-priority modules with minimal risk.

Galent’s Approach

    We implemented an AI-powered modernization strategy using the GalentAI platform combining deep system analysis with structured planning

    AI-Assisted System Analysis:

    • Deployed GalentAI to analyze PHP APIs, legacy codebases, and proprietary applications
    • Mapped workflows, dependencies, and integration points across systems
    • Identified modernization opportunities aligned with the target cloud architecture

    Knowledge & Context Graphs

    • Built intelligent knowledge graphs to visualize system relationships
    • Mapped data flows and cross-platform dependencies
    • Enabled clear visibility into highly interconnected components /li>

    Risk-Aware Modernization Planning

    • Identified priority modules for phased validation
    • Enabled a low-risk approach to testing and upgrading critical components
    • Reduced uncertainty before full-scale modernization

    Target-State Architecture & Roadmap

    • Delivered a comprehensive modernization blueprint
    • Defined epics, user stories, and milestones
    • Provided strategic recommendations aligned with GCP migration goals

    Solution Delivered

    • AI-assisted analysis of PHP-based legacy systems
    • Knowledge and context graph generation for dependency mapping
    • Priority-based module validation strategy
    • Target-state architecture blueprint
    • Detailed implementation roadmap with epics and milestones
    • Strategic modernization recommendations aligned to cloud migration

    Business Impact

    The engagement delivered measurable improvements in readiness, visibility, and risk mitigation.

    Key outcomes:

    • Accelerated Migration Readiness: Removed critical blockers and ensured alignment with PHP 8.4 requirements enabling smoother GCP migration.

    • Enhanced Architecture Visibility: Provided deep insights into system dependencies through AI-generated knowledge and context graphs.

    • Reduced Modernization Risk:Enabled a structured, phased approach minimizing disruption and ensuring controlled transformation.

    This engagement highlights how AI-assisted modernization can de-risk complex legacy transformations, especially in highly interconnected environments.

    By combining intelligent system analysis, dependency mapping, and structured planning, we helped lay the foundation for a secure, scalable, and cloud-ready future.

    Executive Insight: A Client Perspective

    “What seemed like a high-risk migration quickly became a structured, insight-led transformation with Galent. Their AI-powered analysis didn’t just identify issues it gave us a clear path forward.”
    – VP – Digital Engineering