AI INFRASTRUCTURE ASSESSMENT

Is Your Infrastructure Ready for What Comes Next with AI?

Get an independent, evidence-based assessment of your current AI landscape and infrastructure readiness and determine whether Private AI, Hybrid AI or continued Public Cloud AI is the right approach for your organisation.

Focus Group Technologies assesses the infrastructure, operational and commercial requirements behind your AI strategy helping you make informed decisions before significant investment is committed.

AI INFRASTRUCTURE READINESS

What Is an AI Infrastructure Assessment?

The Focus Group Technologies AI Infrastructure Assessment provides an independent, evidence-based evaluation of your current AI landscape and infrastructure readiness.

We assess your AI workloads, business requirements, existing infrastructure, operational capability and commercial considerations to determine whether Private AI infrastructure is justified and what deployment model best supports your future AI strategy.

The outcome is a practical recommendation for Private AI, Hybrid AI or continued Public Cloud AI, together with the infrastructure requirements, risks and next steps needed to move forward with confidence.

Private, Hybrid or Public Cloud

Determine the right deployment model for your AI workloads based on technical, operational and commercial requirements.

Infrastructure Readiness

Understand whether your compute, storage, networking, security, power, cooling and operational environment is ready to support your future AI strategy.

Independent Recommendation

Get recommendations based on technical and commercial evidence not assumptions, vendor claims or product preference.

WHEN TO CONSIDER AN AI ASSESSMENT

Has Your AI Strategy Outgrown Its Starting Point

Cloud AI services make it relatively easy to start. But as AI moves beyond experimentation and becomes part of day-to-day operations, the questions around it change.

Cost, data control, infrastructure capability, performance and long-term sustainability begin to matter more — and decisions about what comes next become increasingly difficult to make on assumptions alone.

Any one of these can be a reason to reassess your AI infrastructure strategy. The Focus Group Technologies AI Infrastructure Assessment brings the technical, operational and commercial considerations together to determine what makes sense for your organisation.

INSIDE THE ASSESSMENT

What Does the AI Infrastructure Assessment Evaluate?

AI infrastructure is more than GPUs and compute. The FGT assessment looks across the wider environment needed to support your AI strategy — from the workloads themselves through to the infrastructure, operational capability and commercial considerations behind them.

We assess your current environment alongside future AI requirements to identify what is ready, where gaps exist and what needs to be considered before decisions are made about Private AI, Hybrid AI or continued Public Cloud AI.

AI Workloads & Business Requirements

Understand your current and future AI use cases, workloads, performance requirements and business objectives establishing what the infrastructure ultimately needs to support.

Compute, Storage & Networking

Assess CPU and GPU requirements, server capability, storage, networking and platform considerations to identify whether the existing environment can support the required workloads.

Physical Infrastructure & Resilience

Review power, cooling, rack capacity, security and backup and recovery requirements to determine whether the supporting environment is ready for AI infrastructure.

Operations, Scalability & Commercials

Consider how the environment will be operated, managed, supported and scaled alongside the commercial factors that influence whether the proposed approach makes sense.

OUR APPROACH

Evidence First. Recommendations Second.

The AI Infrastructure Assessment brings together technical discovery, infrastructure analysis and commercial evaluation to build an evidence-based view of your environment.

Focus Group Technologies starts with your current AI landscape, business requirements and existing infrastructure, then evaluates the options to determine the deployment model and infrastructure approach that makes sense for your organisation.

The assessment doesn't start with a predetermined platform or product. Recommendations are based on the technical, operational and commercial evidence gathered from your environment.

THE VALUE OF THE ASSESSMENT

Make Your Next AI Infrastructure Decision With Confidence

Investing in AI infrastructure isn't simply about selecting the latest technology. It's about understanding which deployment model best aligns with your business, your workloads and your long-term objectives.

The Focus Group Technologies AI Infrastructure Assessment provides the clarity needed to move forward with confidence. By combining technical evidence, commercial analysis and independent recommendations, you'll gain practical answers to the questions that matter most before committing to significant infrastructure investment.

By the End of the Assessment, You'll Know...

Understand whether Private AI, Hybrid AI or Public Cloud is the most appropriate long-term approach for your organisation. Every recommendation is based on your business objectives, AI workloads, existing environment and future growth plans—not vendor preference.

Gain a clear understanding of your organisation’s current level of AI infrastructure readiness, including technical capability, operational maturity and the key gaps that should be addressed before investing in new infrastructure.

Receive practical guidance on the compute, GPU, storage, networking, power, cooling and supporting infrastructure required to successfully deliver your recommended AI platform, helping you avoid over-investing or under-specifying critical components. This aligns with the assessment’s focus on infrastructure readiness rather than AI application development.

Identify technical constraints, infrastructure limitations, operational considerations and potential risks that could impact the success of your AI strategy, allowing issues to be addressed before they become costly implementation challenges.

Understand the likely infrastructure investment, operational considerations and key cost drivers associated with your recommended deployment model, enabling more informed budgeting and business planning.

Leave with a prioritised roadmap outlining immediate actions, planning activities, infrastructure improvements and future optimisation opportunities, giving your team a practical path from assessment to implementation.

Every recommendation is supported by technical evidence, commercial analysis and practical assessment findings, giving your team the confidence to make informed infrastructure decisions.

WHY FOCUS GROUP TECHNOLOGIES

Enterprise Infrastructure Expertise. Practical AI Guidance.

The Focus Group Technologies AI Infrastructure Assessment is built on decades of enterprise infrastructure experience helping Australian organisations plan, modernise and optimise the environments that support critical business systems.

Rather than focusing solely on AI technology, we assess the complete infrastructure ecosystem from compute, storage and networking through to power, cooling, resilience and operational readiness. The result is an independent recommendation that's practical, commercially considered and designed to support your organisation's long-term AI strategy.

EXPLORE OUR OTHER INFRASTRUCTURE ASSESSMENTS

Before You Commit to Your Next Infrastructure Investment

Whether you’re evaluating AI infrastructure, planning a VMware transition or reviewing your critical power environment, engaging early gives you the opportunity to explore the right options before significant investment decisions are made.

A conversation at the beginning of the planning process can help identify opportunities, reduce risk and ensure your infrastructure strategy is aligned with your business objectives.

READY TO DISCUSS YOUR AI PLANS?

Book Your AI Infrastructure Readiness Assessment

Whether AI is already being introduced into your organisation or you're still working out what it could mean for your infrastructure, we'll help you understand where you stand today.

We'll review your current environment, discuss your AI plans and identify where compute, storage, networking, power or data requirements may need attention so you can make informed infrastructure decisions before committing to unnecessary investment.

FREQUENTLY ASKED QUESTIONS

AI Infrastructure Assessment FAQs

How long does an AI Infrastructure Assessment take?

A VMware Migration Assessment is an independent evaluation of your existing VMware environment, infrastructure and business requirements. It helps determine whether migration is appropriate, identifies potential alternative virtualisation platforms and provides practical recommendations for your next steps.

The assessment typically involves IT leadership, infrastructure teams and any stakeholders responsible for AI strategy, data, security or business operations. Engaging the right people early ensures recommendations reflect both technical requirements and broader business objectives.

Yes. Our recommendations are based on your infrastructure, workloads and business goals not vendor incentives. Where appropriate, we evaluate multiple technology options and deployment approaches to help you make informed decisions with confidence.

Absolutely. In fact, this is when the assessment provides the greatest value. Engaging early allows you to evaluate options, identify risks and build a clear infrastructure strategy before significant technology or procurement decisions are made.

Yes. If you choose to proceed, our team can support the design, procurement, deployment and optimisation of your infrastructure. You’re also free to use the assessment findings independently there’s no obligation to engage us for implementation.

Yes. Many organisations engage us before they have selected a platform or defined an AI strategy. The assessment is designed to help you understand your readiness, explore deployment options and identify the infrastructure requirements needed to support future AI initiatives.