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IBM Software / SaaS Japan

MONO-X

System Migration

MONO-X needed a modernization path for customers running IBM i workloads so they could reduce infrastructure costs, preserve continuity and adopt AI faster without discarding legacy systems.

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AI agent development environments can now be provisioned in approximately two hours
data center costs reduced to 20% of previous levels
system uptime exceeded 99%

Reported impact

Business outcome

MONO-X helped customers cut data-center costs, improve uptime and reduce the time needed to stand up AI-ready environments, making modernization and AI adoption materially faster.

  • Cost Reduction
  • Scalability
  • Speed to Market

Solution

MONO-X partnered with IBM to create a hybrid cloud modernization approach based on IBM Cloud and IBM Power Virtual Server. The company wrapped that architecture into a managed service called PVS One, which simplifies migration from on-premises IBM i environments into a cloud operating model. IBM Cloud serves as the integration layer while Power Virtual Server provides the core infrastructure for mission-critical workloads. On top of that foundation, MONO-X connected IBM watsonx Orchestrate so AI agents such as IBM Bob could interact with modernized environments, bridging COBOL-based systems and newer AI services. The design lets customers automate manual workloads, improve operational resilience and provision AI development environments far faster than with traditional data-center approaches, all while retaining the business value embedded in long-lived IBM i assets.

Data flow

Legacy IBM i workloads are moved into a hybrid environment running on IBM Cloud and Power Virtual Server, where operational data and workflows can be integrated with watsonx Orchestrate to automate tasks and provision AI agent environments.

Solution architecture

3 components · 2 layers
  1. Compute
    • IBM Power Virtual Server Provides the cloud infrastructure for modernized IBM i workloads and business-critical operations.
  2. Orchestration
    • IBM Cloud Acts as the integration layer for the modernization environment and managed service.
    • IBM watsonx Orchestrate Enables AI agents to operate within the modernized environment and connect legacy workflows with AI services.

Architecture clues

  • Built as a hybrid cloud modernization approach
  • Connects IBM i and COBOL-based systems with newer AI services
  • PVS One packages IBM Cloud and Power Virtual Server into a managed migration service

Evidence from the source

AI agent development environments can now be provisioned in approximately two hours, compared to nearly three months in traditional on-premises environments.
MONO-X partnered with IBM to deliver a hybrid cloud modernization approach built on IBM® Cloud and IBM Power Virtual Server.
Using IBM Cloud as the integration layer and Power Virtual Server as the core infrastructure, MONO-X enabled customers to automate manual workloads, improve operational sustainability and strengthen system resilience.
Transparency Evidence & methodology 100/100 reference value · 84% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value100/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    2 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence84%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence15/20
    3 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. IBM

    MONO-X customer story

    First-party
    https://www.ibm.com/case-studies/mono-x-ibm-bob-power-virtual-server
    Source type
    Vendor-published customer story
    Published
    Jun 4, 2026
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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