Expert AI use case identification
We help you cut through the noise — identifying AI use cases that are realistic, impactful, and aligned with your actual business goals.
AI Accelerator
We help you adopt Azure AI quickly and safely — from first use case to production, with governance built in from day one.
Not sure if AI Accelerator is the right fit for your organisation? Here's what you get when you work with us:
Why AI Accelerator
We reduce the complexity, risk, and guesswork of AI adoption — so you can focus on outcomes, not infrastructure.
We help you cut through the noise — identifying AI use cases that are realistic, impactful, and aligned with your actual business goals.
From first discovery workshop to production deployment — hands-on engineering guidance at every step, with no deep in-house AI expertise required.
Every proof of concept is built with production in mind — scalable Azure services, proper architecture, no throwaway prototypes.
We design and deploy a proven Azure AI Landing Zone — secure, cost-efficient, and compliant from day one.
Privacy, compliance, and security are baked into every solution from the start — not bolted on afterwards.
Post-deployment, we provide an advice report covering how to run, optimise, and scale your AI solutions over time.
Our approach
We run focused discovery workshops to identify your most impactful AI use cases and validate them rapidly. Every PoC is designed for scalability — built on Azure OpenAI, Cognitive Services, and Document Intelligence with production architecture from day one.
We design and implement a proven Azure AI Landing Zone that gives your teams a secure, governed, and cost-optimised foundation — so AI solutions can be deployed and scaled without starting from scratch each time.
Every AI solution we deliver respects your data residency requirements and regulatory obligations. We implement role-based access, audit logging, responsible AI policies, and data classification — giving you complete confidence in your AI operations.
Microsoft Frontier Tour 2027
We follow every Frontier Tour session and bring what's new straight into the Accelerator — so your agents use the latest Azure capabilities, not last year's.
One agent grounded in all of a company's context — its data, its documents, its people's work and the live web — shown as a supplier-assurance agent that decides on supplier performance and policy.
What it means for you: Your agent answers like a colleague who knows your business: it checks your numbers, your contracts, the latest emails and today's news before it acts — under your security rules.
Take an agent from first prompt to production: configure, debug, test and deploy it end to end inside VS Code, shown on a pharmaceutical (Caldova) agent.
What it means for you: Not a demo that breaks next week — an agent that is tested, debuggable and ready to run in production.
One Postgres database as the relational store, search engine, vector database, graph and long-term agent memory — powering a compliance advisor agent that finds precedent and cites its evidence.
What it means for you: Your agent finds the right answer in your own records and shows where it came from — with fewer systems to buy and run.
How we deliver
A structured workshop to understand your business goals, identify realistic AI use cases, and produce a prioritised roadmap — with clear criteria for what success looks like before any code is written.
1–2 weeksWe develop your proof of concept using the right Azure AI services, deploying on a governed Landing Zone. Parallel validation ensures every PoC is production-aligned before handover.
3–6 weeksPost-PoC, we help you move from validated concept to live product — expanding AI adoption across teams, optimising costs, and providing ongoing advisory to keep your AI running efficiently.
OngoingData & governance
Security, privacy, and compliance are never an afterthought — they are the foundation every solution is built on.
We configure Azure AI services with private endpoints and your own data residency requirements. Your data never leaves your tenant and is never used to train shared models.
Governance and compliance measures — GDPR alignment, audit trails, role-based access — are embedded into the architecture from the very beginning, not added later.
We implement Microsoft's Responsible AI principles: fairness, reliability, transparency, and accountability — with guardrails that enforce safe outputs across every use case.
FAQ
We work across the full Azure AI portfolio — Azure OpenAI Service, Microsoft Foundry and the Microsoft Agent Framework, Azure AI Search, Azure HorizonDB for agentic Postgres apps, Document Intelligence, Language Service, Azure Machine Learning, and Azure Cognitive Services. We select the right service for each use case rather than defaulting to one.