Our story

How enterprise architecture, regulated environments, and AI innovation shaped our practice.

Our practice grew from hands-on enterprise delivery — manufacturing systems, global institutions, and regulated cloud programmes — into a team that now ships production LLM, RAG, and agentic AI where boards and auditors expect defensible outcomes.

Production AI · Real outcomes

LLM, RAG, and agentic AI — shipped under enterprise rules, not slideware

We design and deliver private AI that answers from your data, calls your APIs safely, and stays within budget. The same Azure AI Foundry patterns behind Claudia on this site — deployed for global enterprises with security, FinOps, and GDPR in scope from day one.

LLMsRAGAgentic AIAzure AI FoundryVector searchMCP-ready

70%: Faster internal support with enterprise RAG
60%: Increase in employee self-service adoption
25: Enterprise API families in a production agentic platform

Private RAG over Confluence, SharePoint, PDFs, and tribal knowledge — grounded answers with traceable sources, not hallucinated guesses.
Agentic orchestration with tool-calling, Secure Service Accounts, Key Vault, and Managed Identity — built for regulated environments.
Token, latency, and cost observability so AI scales without surprise inference bills.
From pilot to production in weeks: architecture, guardrails, evaluation, and handover your team can operate.

You're experiencing part of this stack right now — Claudia runs on Azure OpenAI with custom prompt engineering on the site you're browsing. It's not a mockup; it's how we build.

Read the AI knowledge assistant case study Explore our AI & cloud approach

From Development Roots to Enterprise Architecture & AI

Our story begins with hands-on enterprise development — .NET and Java applications for companies like Marriott and inDenova. Those early experiences shaped our belief in scalable, maintainable systems. Today we apply those lessons at the cutting edge of AI, automation, and cloud architecture, including through our work as co-founders of MEM.Zone.

Global Impact & Enterprise AI

Delivery for Autodesk, Deutsche Bank, NTT DATA, and the United Nations has given our team exposure to diverse regulatory environments, complex security requirements, and multi-cloud architectures across geographies. We specialise in EU data sovereignty, GDPR compliance, and helping organizations navigate regulated industries.

Philosophy & Community Impact

We believe in secure-by-design architectures, pragmatic solutions over perfection, and aligning technical decisions with business outcomes. Beyond client work, we contribute to the community as volunteer speakers at universities, sharing practical insights on IT careers and applied AI.

Enterprise foundations

Built on regulated delivery — from plant floor to agentic cloud

Our AI work stands on 15+ years of mission-critical delivery — including a decade at Ford Motor Company in manufacturing systems, plus cloud and architecture programmes for the United Nations, Deutsche Bank, NTT DATA, and Autodesk. That depth is why our AI lands in production instead of stalling in pilot.

Key Achievements

2020

MEM.Zone AI practice

Building production-grade AI solutions using LLMs, RAG, and agentic AI to transform enterprise operations.

15+ Years

Global enterprise architecture

Cloud solutions delivered for the United Nations, Autodesk, Deutsche Bank, and NTT DATA across EMEA.

NTT DATA

40% cloud cost reduction

FinOps transformation at NTT DATA — leading 12+ cloud engineers to optimize multi-cloud spend across Azure, AWS, and EU sovereign clouds.

Explore further

Read the AI knowledge assistant case study AI & cloud Experience Book a fit call

Experience Book a fit call

← Back to About