MONO-X modernizes IT for AI-driven innovation

Use case typeCloud migrationUpdated Jun 4, 2026

MONO-X is a Japan-based technology company and IBM Business Partner that helps enterprises modernize mission-critical IBM i workloads. It built a hybrid cloud modernization approach using IBM Power Virtual Server, IBM Cloud as the integration layer, and IBM watsonx Orchestrate to enable AI agents to operate more autonomously. The managed service simplifies cloud migration from IBM i environments, automates workloads, and supports seamless integration between COBOL-based systems and modern AI services.

Organization
MONO-X
Industry
Tech & Comms
Location
Japan
Published
June 2026

Reported outcomes

+99%

system uptimeRisk, reliability & safety

20 % of previous levelsdata center costs2 hoursAI agent development environment provisioning time

Strategic outcomes

Innovation & cultureFaster modernization cyclesRisk & complianceImproved resilience for business-critical operationsEmployee experienceImproved knowledge transfer

Catalog median for risk, reliability & safety deployments: +100% across 55 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

  • 1Cloud migration
  • 2AI agents
  • 3Workflow automation
  • Customers relied on long-standing on-premises infrastructure that limited agility, required manual operations, made knowledge transfer difficult, and increased operational risk.
  • They needed a secure cloud foundation that could reduce operational complexity and enable faster adoption of AI technologies.
  • MONO-X partnered with IBM to deliver a hybrid cloud modernization approach built on IBM Power Virtual Server.
  • It developed PVS One, a managed service designed to simplify the IBM Cloud experience and provide a streamlined path from on-premises IBM i environments to the cloud.
  • Using IBM Cloud as the integration layer and IBM watsonx Orchestrate, MONO-X enabled customers to automate manual workloads, improve sustainability, strengthen resilience, and integrate COBOL-based systems with AI services.
  • Data center costs were reduced to approximately 20% of previous levels.
  • System uptime exceeded 99%.
  • AI agent development environments can now be provisioned in approximately two hours, compared to nearly three months in traditional on-premises environments.
  • The solution enabled more automated operations, improved knowledge transfer, and faster modernization cycles.
Architecture

Hybrid cloud modernization built on IBM Power Virtual Server with IBM Cloud as the integration layer and IBM watsonx Orchestrate for AI agent automation, enabling integration between COBOL-based systems and modern AI services.

Sources & evidence1
Groundedness: 5/5Type: Case StudyPublished: Jun 4, 2026Publisher: IBMEvidence: PrimaryConfidence: High

AI-generated summary. Verify important details with the linked sources before relying on this case.

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