AI Infrastructure and Digital Operations Case Studies

FusionFlow Case Studies

FusionFlow helps operators transform heterogeneous infrastructure into services that can be catalogued, governed, measured and delivered across tenants. These cases show three different commercial contexts: a telecom operator, a data centre business and a managed service provider.

What this section helps buyers evaluate

Whether the organisation can create a repeatable service model across capacity, tenant controls, usage metering, workload operations and commercial delivery without rebuilding every platform capability independently.

Regional telecom operator launches a GPU as a Service offering

Sector: Telecommunications and AI cloud services

Region: Southeast Asia

Platform: FusionFlow

Focus: Commercialising existing GPU infrastructure

A regional telecom operator used FusionFlow to turn existing infrastructure into a governed, multi-tenant GPU as a Service offering without first building an end-to-end service platform from the ground up.

Challenge

• No service catalogue to package GPU capacity as a repeatable commercial offering.

• No tenant separation to support multiple customers on shared infrastructure.

• No usage tracking or GPU-hour metering to support commercial billing.

• A ground-up build would have added time, integration risk and operating complexity before the first service launch.

Solution

FusionFlow introduced a unified service layer over the operator's existing infrastructure. The platform let the operator define catalogue services, provide self-service access, separate customer environments and track usage automatically. Commercial and operations teams could therefore onboard customers into governed environments and use the same consumption data for service management and billing.

Results

• First GPUaaS customers onboarded without a ground-up platform build.

• Each customer operates in a governed, tenant-separated environment.

• Usage and billing records are generated automatically for each tenant, without manual reconciliation.

• Commercial and operations teams share one system of record for service delivery and consumption.

"We expected AI cloud launch to take a year - with FusionFlow it took weeks."

Head of Cloud Operations, regional telecom operator

Indonesian data centre operator improves GPU estate visibility

Sector: Data centre and colocation

Region: Indonesia

Platform: FusionFlow

Focus: GPU utilisation and AI cloud readiness

An Indonesian data centre operator introduced a unified control plane to understand how GPU capacity was being used, coordinate workloads and create the operating foundation for higher-value AI cloud services.

Challenge

• GPU capacity across the estate had no single operating view of allocation, availability and workload demand.

• Teams lacked a consistent mechanism for scheduling, policy control and workload lifecycle management.

• Capacity could remain idle while service teams could not confirm what was available for new workloads.

• The planned AI cloud service lacked an operating foundation for catalogue-based, multi-tenant delivery.

Solution

FusionFlow provided a common view of GPU resources and the workloads consuming them. Scheduling, policy and lifecycle controls were brought into one operating layer. That layer also established the basis for a service catalogue and governed multi-tenant delivery as the AI cloud proposition expanded.

Results

• GPU inventory, workload demand and available capacity are visible in one operating view.

• Workloads are scheduled under consistent policies and lifecycle controls.

• Teams can identify available capacity before making provisioning decisions.

• The existing GPU estate now supports controlled development of catalogue-based AI cloud services.

Malaysian managed service provider introduces multi-tenant AI services

Sector: Managed services and systems integration

Region: Malaysia

Platform: FusionFlow

Focus: Launching governed AI services without an in-house platform build

A Malaysian managed service provider responded to customer demand for AI services by using FusionFlow as the operating platform for onboarding, service delivery and governed tenant separation.

Challenge

• Customer demand for AI infrastructure was growing, but the provider had no repeatable platform for a managed offer.

• A proprietary stack would have required substantial engineering effort before commercial launch.

• Building and maintaining that stack would have created an ongoing platform-support burden.

• Enterprise customers required separated environments and predictable policy controls from the outset.

Solution

FusionFlow supplied the common service layer used to define and deliver the offer. Self-service onboarding reduced manual provisioning, while multi-tenant controls kept customer environments separate under consistent policies. The provider could focus its engineering effort on customer solutions and managed delivery rather than recreating platform functions.

Results

• AI services are packaged through a repeatable catalogue and provisioning workflow.

• Customers are onboarded through self-service into governed, tenant-separated environments.

• Policy controls are applied consistently across customer environments.

• Engineering capacity remains focused on customer solutions and service operations rather than platform build and maintenance.

COSAP Case Studies

COSAP connects data, rules and operational workflows so teams can move from fragmented records to earlier detection, traceable decisions and controlled action. The following cases span industrial production, construction delivery, retail finance and multi-entity food-and-beverage operations.

What this section helps buyers evaluate

Whether data from multiple systems can be reconciled into a governed operating view, with enough lineage for teams to understand the source of an exception and act with confidence.

Polymer manufacturer detects purchasing and yield anomalies earlier

Sector: Polymer manufacturing

Region: Vietnam and Korea

Platform: COSAP Forge

Focus: Purchasing controls, inventory visibility and production yield

A multi-site polymer manufacturer connected purchasing, inventory and production signals through COSAP Forge, helping teams identify exceptions before they became month-end reconciliation problems or avoidable yield loss.

Challenge

• Purchase-order errors were often discovered only after goods and invoices had entered downstream processes.

• Bill-of-material deviations could remain hidden until monthly reconciliation.

• Quarterly stock counts required a three-day exercise.

• Low-level material overuse was difficult to detect before it affected production yield.

Solution

COSAP Forge correlated purchase orders, goods receipts, invoices, stock and production data in near real time. Edge inference and rolling-window detection flagged drift and anomalies close to operations. Controls automatically held purchase orders containing detected errors for human review before release.

Results

• 82% of purchase orders containing detected errors were automatically blocked before release.

• Average anomaly-to-alert time was 23 minutes, compared with 14.3 days in the prior process.

• A 3.2% yield leak was identified within four days across 90 production batches.

• Annual inventory turnover was recorded at 4.2x to 8.7x, while on-time delivery was recorded at 73% to 94%.

Engineering and construction team accelerates contract intelligence

Sector: Engineering and construction

Region: Taiwan

Platform: COSAP Vantage and COSAP Core

Focus: Contract requirements, field controls and project cost visibility

A Taiwan engineering and construction organisation used COSAP Vantage and COSAP Core to reduce the time required to interpret contract documents and connect field activity with project controls.

Challenge

• Lengthy requests for proposal, specifications and addenda contained obligations that could create rework or penalty exposure if missed.

• Manual review of contract requirements took days.

• Field purchasing often depended on office-based approval, delaying action at the project site.

• Cost information reached decision-makers too late to support intervention during the reporting period.

Solution

COSAP Vantage extracted configured requirements and linked each resulting task back to its source page. COSAP Core combined attendance, procurement and inventory activity, with Telegram-based approvals supporting field workflows. Daily cost roll-ups compared actual expenditure with budget for review.

Results

• Contract review for the configured document workflow moved from days to minutes.

• Each extracted requirement retained traceability to the relevant source page.

• Configured health, safety, environmental and quality requirements were tracked as work progressed.

• Actual-versus-budget cost information became available through a daily roll-up rather than a month-end report.

Retail group reconciles complex settlement data to bank deposits

Sector: Multi-site retail

Region: Vietnam

Platform: COSAP Core

Focus: Payment reconciliation, fee assurance and finance export

A Vietnamese retail group used COSAP Core to reconcile store, payment and marketplace records to bank deposits, giving finance teams a clearer route from gross sales to settled cash.

Challenge

• Twenty shops accepted six payment methods and sold through three marketplaces.

• Providers deposited net amounts after fees, obscuring the route from gross sales to settled cash.

• Manual matching made shop-level and trading-day reconciliation difficult to complete consistently.

• A contracted card fee of 2.90% had been applied at 3.30%, creating leakage that routine reconciliation had not exposed.

Solution

COSAP Core ingested sales and settlement records, then separated gross value, fees, tax and net proceeds. Each payment was attributed to its shop and trading day, reconciled to the bank deposit and surfaced for review when an exception appeared. Approved accounting data was exported into MISA without manual re-keying.

Results

• Approximately VND 1.0 billion was reconciled to deposit level across the two trading days reviewed.

• All 20 shops in scope were included in the reconciliation workflow.

• Six payment methods and three marketplaces were reconciled through the same controlled process.

• VND 1,519,200 in misapplied card fees was identified and recovered for the period reviewed.

National food and beverage group creates a consolidated operating data layer

Sector: Food and beverage retail

Region: Korea

Platform: COSAP Core

Focus: Store-to-ledger lineage, same-day performance and scalable rollout

A Korean food and beverage group consolidated data from stores, entities and technology providers to create a traceable operating view across sales, margin, payments and finance.

Challenge

• Approximately 1,000 stores across 10 entities and three technology vendors generated fragmented operational data.

• Sales and margin visibility was largely tied to month-end processes.

• Franchise activity sat partly outside the core ERP view.

• Rapid store openings required a common data model that could accommodate different source systems and operating patterns.

Solution

COSAP Core consolidated point-of-sale, ERP, loyalty, delivery and payment data. It established transaction lineage to the general ledger and applied pricing, promotion and revenue-assurance controls. A templated rollout model supported repeated onboarding as the estate expanded.

Results

• Sales and margin views are available on the same day by store, trading day and channel.

• Store transactions can be traced into the general ledger across 10 entities and three technology vendors.

• The consolidated operating view represents an estate of approximately 1,000 stores.

• Rollout streams support approximately 20 openings per month; the 30,000-store figure remains an architecture design horizon, not a deployed footprint.

Professional Services Case Studies

SkyLab professional services connect platform decisions with implementation and ongoing operations. These engagements demonstrate how Advise, Enable, Build and Run can be combined around the needs of a manufacturer, a GPU cloud provider and a university research environment.

What this section helps buyers evaluate

How responsibility should be divided across assessment, capacity, integration, service enablement, monitoring and escalation so the platform remains operable after launch.

Korean manufacturer moves from platform integration to managed operations

Sector: Manufacturing

Region: Korea

Platform: COSAP Forge

Services: Build and Run, including managed NOC operations

A Korean manufacturer combined COSAP Forge with SkyLab engineering, integration and managed services to connect a multi-site estate and establish an operating model beyond initial deployment.

Challenge

• Infrastructure across multiple sites had no unified operational view.

• The internal team needed support for both platform integration and continuous post-launch monitoring.

• Separate design, implementation and operations handovers risked gaps in lifecycle ownership.

• Monitoring and escalation responsibilities needed to be defined before the environment moved into steady-state operations.

Solution

SkyLab phased the integration to protect operational continuity and supplied the required GPU and supporting infrastructure. COSAP Forge was implemented across the relevant environment. The engagement then transitioned to managed NOC coverage across cloud, network, infrastructure and security, with defined monitoring and escalation responsibilities.

Results

• The environment followed a phased integration plan designed to protect service continuity.

• Cloud, network, infrastructure and security domains are monitored through one operating view.

• Monitoring and escalation responsibilities are defined for steady-state operations.

• The platform moved from implementation into managed NOC operations under one delivery lifecycle.

Korean GPU cloud provider expands capacity with managed operations

Sector: GPU cloud services

Region: Korea

Platform: FusionFlow

Services: Resources and Capacity, Enable and Run

A Korean GPU cloud provider combined infrastructure capacity, FusionFlow and SkyLab managed services to expand its offer without placing the full operating burden on a limited internal team.

Challenge

• The provider needed additional GPU capacity without committing to full upfront asset ownership.

• Its internal team did not have the resources to sustain round-the-clock monitoring as the service expanded.

• Delayed detection and escalation of infrastructure events could affect service levels.

• Using separate suppliers for capacity, platform and operations would have divided delivery accountability.

Solution

SkyLab supplied GPU infrastructure through its Resources and Capacity model, enabled the service through FusionFlow and introduced managed NOC monitoring. One delivery model aligned capacity, platform and operations. Defined monitoring and escalation workflows assigned responsibility for operational events.

Results

• GPU capacity is available through a model that does not require full upfront infrastructure ownership.

• FusionFlow and managed NOC operations are delivered within the same service model.

• Monitoring and escalation workflows assign responsibility for infrastructure events.

• The internal team remains focused on customer acquisition and service development while SkyLab supports the infrastructure and operational layer.

Indonesian university introduces fairer GPU access and chargeback

Sector: Higher education and research

Region: Indonesia

Platform: FusionFlow

Services: Advise, Build and Run

An Indonesian university used FusionFlow and SkyLab professional services to improve access to shared GPU infrastructure, introduce departmental usage metering and establish a support model for ongoing operations.

Challenge

• Demand varied across faculties and research groups, making allocation of limited GPU capacity difficult.

• The university had no consistent way to measure consumption by department.

• Without departmental usage records, the institution lacked a measurable basis for internal chargeback.

• The IT team needed additional operational capacity for monitoring, maintenance and escalation as demand changed.

Solution

SkyLab assessed existing usage and defined an allocation and chargeback model tied to departmental consumption. FusionFlow introduced catalogue-based access and GPU-hour metering. Managed NOC services supplied ongoing monitoring with defined escalation paths.

Results

• GPU-hour records are available by department to support cost attribution.

• A catalogue workflow provides a consistent process for access requests and capacity allocation.

• Internal chargeback has a measurable basis in departmental consumption.

• A defined monitoring and escalation path supplements the university's internal IT team.

How to read the evidence

Credible case studies explain both achievement and context. The outcomes on this page are tied to the project situations described, and customer identities remain anonymous where disclosure has not been authorised. Quantitative results should be understood within their documented measurement scope, operating conditions and implementation period.

Explore SkyLab resources for deeper technical material.

What these cases demonstrate

• A governed operating layer can be as important as the underlying GPU or infrastructure asset.

• Commercial service design, tenant controls and usage metering need to work as one model.

• Operational intelligence is stronger when an exception can be traced to source records and responsible workflows.

• Implementation and managed operations should be designed together, with clear ownership and escalation paths.

• The right architecture depends on the buyer’s estate, workloads, compliance needs, service model and growth plan.

Discuss a similar infrastructure challenge

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Case Studies Frequently Asked Questions

What types of organisations are represented in these case studies?

The cases cover telecom operators, data centres, managed service providers, manufacturers, engineering and construction teams, retailers, food-and-beverage groups, GPU cloud providers and higher-education research environments across Asia.

Why are some customers not named?

SkyLab protects customer confidentiality and publishes identities only when written disclosure permission is available. An anonymised case can still be useful when the sector, operating context, solution and evidence are described clearly.

How should the reported results be interpreted?

Results relate to the specific project scope, baseline, operating conditions and measurement period documented for each engagement. They illustrate what was achieved in that context and do not guarantee the same outcome for another organisation.

Can SkyLab support a comparable programme?

SkyLab can assess the current environment, define the appropriate platform and capacity model, support implementation and provide managed operations. The recommended scope depends on the infrastructure estate, workloads, governance requirements and commercial objectives.