What challenges did PT Agrinesia Raya face before AI implementation?

Fragmented legacy infrastructure and vendor sprawl. Expanded security and compliance risk surface. Complex and inflexible cost management and limited technical support.

What was the impact of the AI solution?

Restored operational control. Optimized costs by reducing third-party dependencies and simplifying operations. Enabled zero-data-loss migration with no business interruption. Established a scalable foundation for AI-driven innovation.

Source

AlibabaProductionEvidence: Medium55/100

Agrinesia consolidates infrastructure on Alibaba Cloud to enable AI innovation with Qwen

Use case typeInfrastructure modernizationUpdated Jul 19, 2026

PT Agrinesia Raya (Agrinesia) consolidated fragmented legacy infrastructure onto Alibaba Cloud to improve operational control, cost management, security governance, and support future AI innovation. The company said the move created a scalable foundation for AI-driven innovation and overcame limitations in its previous vendor environment.

Organization: PT Agrinesia Raya
Industry: Manufacturing
Location: Indonesia
Published: July 2026

Reported outcomes

Strategic outcomes

Cost efficiencyRestored operational controlCost efficiencyOptimized costs by simplifying operationsInnovation & cultureEstablished a scalable foundation for AI-driven innovationOther strategic outcomeCompleted migration with no business interruption

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: PT Agrinesia Raya
Provider: Alibaba
Maturity: Production
Linked source: Alibaba Cloud Customers

PT Agrinesia Raya (Agrinesia) consolidated fragmented legacy infrastructure onto Alibaba Cloud to improve operational control, cost management, security governance, and support future AI innovation

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

1Infrastructure modernization
2Cloud migration

Fragmented legacy infrastructure and vendor sprawl.
Expanded security and compliance risk surface.
Complex and inflexible cost management and limited technical support.

Unified infrastructure management on a single Alibaba Cloud console.
Parallel migration with DNS switchover to avoid downtime and data loss.
Standardized security and compliance policies and eliminated redundant standby systems.
Prepared the environment for AI-driven innovation with Qwen.

Technologies

Alibaba Cloud Elastic Compute Service Object Storage Service Data Management Data Transmission Service Simple Log Service Cloud Monitor 2.0 CNAPP Qwen

Restored operational control.
Optimized costs by reducing third-party dependencies and simplifying operations.
Enabled zero-data-loss migration with no business interruption.
Established a scalable foundation for AI-driven innovation.

Architecture

The article describes a migration from a fragmented legacy environment to a standardized Alibaba Cloud platform using ECS, OSS, DMS, Data Transmission Service, SLS, Cloud Monitor 2.0, and CNAPP, managed through a single console. It used a parallel migration plus DNS switchover approach to achieve zero data loss and no downtime, eliminated redundant standby systems, and established unified security and compliance policies. The resulting environment is positioned for Qwen-based AI innovation.

Sources & evidence1

Evidence: Medium55/100Evidence strength