Technology Stack

Can your infrastructure handle AI?

Technology Stack evaluates whether your current infrastructure, tools, and architecture can support AI workloads at the scale you need. Cloud readiness, API maturity, and compute capacity all factor in.

Why It Matters

Infrastructure readiness is declining despite rising AI investment — organisations are adopting faster than they build (Cisco, 2024).

Cloud-native organisations deploy AI models 3x faster than those on legacy infrastructure.

API-first architecture is the foundation for integrating AI into existing workflows.

Industry Benchmarks — Technology Stack

Technology7.1/10
Finance6.4/10
Media6.0/10
Professional Services5.5/10
Healthcare4.8/10
Retail4.8/10
Manufacturing4.2/10
Education3.8/10
Government3.8/10

Common Gaps

Legacy systems without APIs

Core business systems can't be integrated with AI tools without expensive middleware.

Insufficient compute for AI workloads

On-premise hardware can't scale for training or inference at production volumes.

No MLOps infrastructure

Models are deployed manually with no versioning, monitoring, or rollback capability.

How to Improve

1

Migrate core systems to cloud (AWS/Azure/GCP)

High impactHigh effort
2

Build API layer for top 5 internal systems

High impactMedium effort
3

Set up model serving infrastructure (SageMaker, Bedrock, Vertex AI)

Medium impactMedium effort
4

Implement CI/CD for ML models (MLflow, Weights & Biases)

Medium impactMedium effort

Recommended Tools

AI Platform

AWS Bedrock / Azure OpenAI

Enterprise AI model hosting with security and compliance.

Container Orchestration

Docker + Kubernetes

Scalable deployment for AI services and microservices.

Infrastructure as Code

Terraform

Reproducible, version-controlled infrastructure deployment.

How does your technology stack measure up?

Take the free AI Readiness Quick Scan to see your score across all 8 dimensions, with industry benchmarks and personalised recommendations.

Take the Free Quick Scan

Explore Other Dimensions

Strategy & VisionData MaturityTalent & SkillsProcess ReadinessGovernance & EthicsCulture & ChangeFinancial Readiness