MJL Network Solutions helps regulated and enterprise organisations design, secure, and optimise cloud, AI, data, and platform architectures across AWS, Azure, and GCP.
We focus on secure, production-ready enterprise adoption of cloud, AI, and intelligent agents.
Deep enterprise experience
Proven delivery for regulated and complex organisations including LSEG, Nomura, UBS, Barclays, AXA XL and EnBW.
Extensive cloud & AI credentials
10x AWS Certified, Azure Solutions Architect Expert, GCP Professional Cloud Architect, NVIDIA Generative AI, CCIE #6280, CKA/CKAD.
Secure production delivery
Focus on practical, governed, production-ready cloud and AI solutions rather than experimental prototypes.
Regulated sector expertise
Strong track record in financial services, energy, insurance, and other highly regulated environments.
Design and review AWS, Azure, and GCP architectures for scalability, resilience, security, and operational efficiency.
Improve cloud security posture, identity design, network segmentation, logging, monitoring, and governance for enterprise and regulated environments.
Reduce unnecessary cloud spend through architecture review, service-rightsizing, observability-led optimisation, and platform governance.
Design secure and scalable data and AI platforms using modern cloud-native services and enterprise integration patterns.
Improve delivery speed and platform reliability through automation, infrastructure as code, CI/CD, Kubernetes, and operational engineering practices.
Help organisations adopt generative AI safely, including model integration, agent patterns, guardrails, identity, observability, and security controls.
We support organisations evaluating and deploying enterprise generative AI solutions, including Anthropic Claude, AWS Bedrock, Azure AI, and Google Vertex AI.
We focus on practical, secure, production-ready adoption rather than experimental prototypes.
Discuss AI Requirements →
Representative examples of recent advisory and delivery work across cloud, AI, and security.
Energy Sector · AWS
Reviewed a large-scale AWS estate and identified almost $750k per year in savings opportunities through Glue job consolidation, RDS rightsizing, Compute Savings Plans, and architecture changes. Delivered actionable recommendations with projected annual savings.
Sports & Entertainment · Multi-brand
Defined observability and telemetry collection standards for a complex multi-brand environment, evaluating tooling options and centralising monitoring across distributed teams and platforms.
Enterprise · Generative AI
Advised on secure enterprise AI adoption, including model integration patterns, agent design, identity controls, guardrails, governance frameworks, and AWS Bedrock security guidelines development.
Cloud, AI, Machine Learning, and Data Science offer opportunities to meet business demand while gaining market share.
Our capability is underpinned by deep technical certification across cloud, networking, infrastructure, and AI disciplines.
Our consultants have delivered architecture, cloud, security, and platform transformation work for organisations including:
Experience includes financial services, capital markets, insurance, energy, and other complex enterprise environments.
Whether you need strategic advisory support, architecture review, cloud cost optimisation, AI adoption guidance, or security input, we would be pleased to discuss your requirements.
Or email us directly:
contact@mjlnet.comWe typically respond within one business day.
Meet the Founder →