AI Landing Zone for Secure, Scalable Enterprise AI on AWS
Prime Force designs and deploys AI Landing Zones — purpose-built AWS environments that provide the infrastructure, governance, and security guardrails organisations need to adopt AI and machine learning responsibly. From data ingestion to model deployment, we create a production-ready foundation that accelerates AI initiatives while maintaining compliance and cost control.
Key Capabilities
Landing Zone Architecture:
Multi-account AWS environment with network isolation, IAM governance, and cost management tailored for AI/ML workloads.
Data Platform Foundation:
Secure data lakes and pipelines using S3, Glue, and Lake Formation with fine-grained access controls and data cataloguing.
ML Operations (MLOps):
End-to-end model lifecycle management with SageMaker, automated training pipelines, model registry, and A/B deployment.
AI Governance & Responsible AI:
Policy frameworks for model transparency, bias monitoring, data lineage, and regulatory compliance for AI workloads.
Relevant Client Segments
Engagement Model
- Discovery & Design: 3–4 week AI readiness assessment, use-case prioritisation, and landing zone architecture design.
- Build & Deploy: 8–16 week implementation of the AI Landing Zone, data platform, and initial ML pipelines.
- Operate & Scale: Ongoing MLOps support, model monitoring, cost optimisation, and expansion to new AI use cases.
Why Prime Force
We take an enterprise-grade approach to AI adoption, grounded in the same rigorous infrastructure practices used for digital platforms. Our expertise spans regulated industries, with a deep understanding of data governance requirements across European markets. We also specialize in integrating AI services with existing CMS, ECM, and enterprise content workflows, supported by scalable and repeatable landing zone patterns that accelerate time-to-value for new AI initiatives. Get in touch to explore how we can support your AI journey and turn strategy into production-ready impact.