AWS AI Landing Zone - Manufacturing

The Version 1 AWS AI Landing Zone Accelerator is a pre‑engineered, secure, and governed AWS cloud foundation built specifically for AI and generative AI workloads in manufacturing. Designed for discrete and process manufacturers, OEMs, and industrial conglomerates, it automates the creation and deployment of a Cloud Adoption Framework (CAF) aligned AWS Landing Zone using industry‑standard Infrastructure as Code (Terraform and CDK), delivered through CI/CD pipelines.

The accelerator establishes a fully featured multi‑account AWS environment covering sandbox, dev, test, prod, security, and shared accounts complete with preconfigured VPCs, Transit Gateway, PrivateLink endpoints, encryption‑by‑default, and high‑performance compute blueprints (P4/P5, Trainium, Inferentia) suitable for demanding simulation, computer vision, and optimisation workloads. It integrates directly with Amazon Bedrock and Amazon SageMaker, providing secure model invocation wrappers, embedding pipelines, retrieval utilities, and optional custom model registry support. Manufacturing governance and compliance are built in from the ground up, with controls aligned to typical quality, safety, and data governance expectations, alongside support for data residency enforcement and third‑party AI risk management requirements.

A comprehensive security and governance fabric covers IAM Identity Center federation, attribute‑based access control (ABAC), Service Control Policies, CloudTrail, AWS Config, GuardDuty, Macie, and automated incident‑response pipelines giving security, risk, and audit functions the visibility and auditability they require. The environment is designed to support model explainability, performance monitoring, and audit trail requirements in line with emerging AI governance expectations for industrial and critical‑infrastructure workloads. Beyond the core foundation, the accelerator includes an extensive library of reusable, production‑ready AI application blueprints covering predictive maintenance, process anomaly detection, energy and emissions optimisation, quality inspection with computer vision, digital worker assistants, and supply‑chain and production‑planning intelligence, all delivered with IaC templates, CI/CD scaffolding, and operational guidance. An observability and operations layer provides CloudWatch dashboards, X‑Ray tracing, Prometheus/Grafana model performance monitoring, automated cost attribution, drift detection, and auto‑remediation runbooks baked into the environment.

The package can be deployed as a net‑new landing zone or integrated as a pluggable module into an existing AWS Landing Zone, with SSO and bring‑your‑own IdP support defined in Terraform to minimise manual configuration.

Version 1's consultants bring experience designing, deploying, and operating enterprise‑grade AWS environments for industrial and manufacturing customers, combined with expertise across AI governance, AI development, and AI operations. Knowledge transfer is a core part of every engagement working directly with customer teams through tailored documentation and training sessions to ensure they can confidently maintain, scale, and govern their AI foundations long after delivery.

This product relates to the following AWS services: Amazon Bedrock, Amazon SageMaker, AWS Organizations, Amazon S3, AWS Glue, AWS Lake Formation, Amazon Athena, Amazon OpenSearch Service, Amazon DynamoDB, Amazon Aurora, AWS IAM Identity Center, Amazon CloudWatch, AWS CloudTrail, AWS Config, Amazon GuardDuty, Amazon Macie, AWS Transit Gateway, and AWS PrivateLink.