Can your infrastructure support AI?
We assess your current IT infrastructure against the requirements of your target AI tools. Cloud readiness, compute capacity, integration capability, and security posture all evaluated so you know exactly what needs to change before AI deployment begins.
Infrastructure assessed for AI deployment.
Our infrastructure readiness assessment covers cloud, compute, integration, security, and compatibility to give you a complete picture of what your infrastructure can support today.
Cloud Readiness Assessment
We evaluate your current cloud posture against the requirements of your target AI tools, including cloud platform compatibility, data residency requirements, and the readiness of your cloud environment to host AI workloads.
Compute Capacity Review
We assess whether your current compute infrastructure can support AI workloads, including GPU requirements for model inference, memory and storage requirements, and the scalability of your current environment.
Integration Capability Assessment
We evaluate your ability to connect AI tools to your existing systems, including API availability, middleware capability, data format compatibility, and the effort required to integrate AI into your current workflows.
Network and Security Posture
We review your network architecture and security controls against the requirements of AI tool deployment, including data transfer security, network segmentation, and the security implications of connecting AI tools to your systems.
Existing Tooling Compatibility
We assess the compatibility of your existing software stack with your target AI tools, identifying integration points, potential conflicts, and the level of customisation required to make AI tools work within your current environment.
Infrastructure Gap Analysis
We produce a structured gap analysis comparing your current infrastructure against the requirements of each AI use case, with a prioritised list of infrastructure improvements needed to support AI adoption.
From infrastructure audit to AI deployment plan.
Infrastructure Discovery
We document your current IT infrastructure including cloud platforms, on-premise systems, network architecture, and existing software stack to establish a baseline for the assessment.
Cloud and Compute Assessment
We assess your cloud readiness and compute capacity against the specific requirements of your target AI tools, identifying gaps in processing power, storage, and cloud platform capability.
Integration Mapping
We map the integration requirements of your target AI tools against your current systems, identifying the APIs, middleware, and data connections needed to make AI work in your environment.
Security and Network Review
We review your network and security architecture against AI deployment requirements, identifying any security controls or network changes needed before AI tools can be safely deployed.
Gap Analysis and Scoring
We score your infrastructure readiness against each AI use case, producing a clear gap analysis that shows what is deployable today and what infrastructure work is needed first.
Infrastructure Roadmap
We produce a prioritised infrastructure improvement roadmap with specific recommendations, effort estimates, and sequencing guidance to get your infrastructure AI-ready as efficiently as possible.
Infrastructure assessments for UK businesses.
Manufacturing Business
A manufacturer wanted to deploy AI for predictive maintenance but had ageing on-premise infrastructure with no cloud connectivity and limited API capability on their operational systems.
Infrastructure assessment completed. Cloud migration scoped for two key systems. Predictive maintenance AI deployed in phased approach. First phase live within three months of assessment.
Financial Services Firm
A financial services business wanted to adopt AI tools for client reporting but had strict data residency requirements and was unsure whether their cloud environment met the compliance requirements.
Cloud environment assessed against FCA data residency requirements. Two compliant AI tools identified. Infrastructure changes scoped and implemented. AI reporting deployed within compliance boundaries.
Education Provider
A further education college wanted to use AI for student support and administration but had a fragmented IT estate with multiple legacy systems and no central data platform.
Infrastructure assessment identified a viable integration path using existing Microsoft 365 environment. AI tools deployed within existing stack. Legacy system integration scoped as phase two.
Know what your infrastructure can support today.
Book an infrastructure readiness assessment. We will evaluate your cloud, compute, and integration capability against your target AI tools and give you a clear roadmap for getting AI-ready.