Advise, build and adopt AI, with Microsoft at the centre.
AI projects often stall when people do not know what to trust. We help you choose the right starting point, build it properly and get people using it, with governance from the start.
Plan
Know where to start. Choose the right use case, approach and architecture.
Copilot readiness assessment
Copilot can only work with the data and permissions you give it. We review your setup, use cases and governance, and give you a prioritised roadmap.
AI solution design
The wrong approach can cost more and deliver less. We help you choose between a flow, a Copilot Studio agent or a custom service using models such as OpenAI or Claude, and plan the architecture on Azure.
Build
From strategy to deployment, we engineer AI solutions on Microsoft Azure. Work with us as your advisor, your engineering partner or both. CIP, our own decision intelligence platform, shows how we build. Bring us your use case, and we will engineer a platform around it.
Custom AI platform build
Off-the-shelf AI may not fit a process built around your own rules, systems and approvals. We design and build a platform on Azure around how your business works, end to end.
AI product engineering
Have an idea or internal tool that could become a product? We take it from discovery to a working cloud platform on Azure, then help you bring it to Microsoft Marketplace.
Document and workflow automation
Skilled people lose hours to documents and manual steps. We automate one important process, keep people reviewing where it matters and hand it over to your team.
Cloud-native applications and modernisation
Legacy and fragile systems slow every change. We build new applications on Azure, or move existing workloads there while protecting service continuity.
Integration and APIs
AI is less useful when your systems do not share information. We connect them so data moves automatically and securely.
Security and networking
AI projects can stall when the foundation is not secure. We set up landing zones, review identity, Key Vault and private networking, and fix the gaps.
Data foundations
AI is hard to trust when it works from scattered or out-of-date data. We set up the storage and databases your AI services rely on.
Monitoring and cost
Cloud bills can grow quietly, and failures can go unnoticed. We set up dashboards and alerts, show where spend goes and help you reduce it.
Adopt and govern
Make it last. Help people use AI well, with clear rules and human oversight.
Agent in a Day workshop
It can be hard to know where AI agents fit until you try them. Your team spends a hands-on day with agents and leaves with practical ideas.
Microsoft AI adoption programme
Licences alone do not change how people work. We turn stalled Copilot and agent trials into regular use, with tailored training and clear use cases.
AI governance and evaluation
When someone asks why AI reached a result, you need an answer. We review your approval steps, audit trails, access controls and how you test quality.
Claude adoption
We also use Claude every day in our own work, and can help your team use it well. Already on Azure? We can help you assess Claude through Microsoft Foundry, including where your data is processed.
Claude workflows
Trying Claude is easy, but using it consistently takes more. We put it to work on real tasks, with reusable workflows, review standards and practical training.
AI-assisted engineering
AI can speed up software teams, but only with the right checks. We help teams use Claude Code with clear standards, testing and human review.
Specialist services
Focused support for regulated work and software companies.
AI for healthcare and life sciences
In healthcare, AI has to be traceable and easy to check. We explore where it fits, with data quality and human oversight in mind.
Microsoft Marketplace readiness
Getting software onto Marketplace involves more than a listing. We help you prepare a clear offer, listing and technical plan.
Common questions
Where should we start with Copilot?
Start with one clear business problem, then check your data, permissions and how people will review the output.
Should we use a flow, an agent or a custom service?
Use the simplest option that meets the need. Fixed rules often suit a flow, while conversation or judgement may suit an agent.
How do we keep AI use accountable?
Agree who reviews what, limit access, test the quality of results and keep a record of important decisions.
Take the first step.
Tell us what you want to improve, and we’ll help you find the right place to start.
Start a conversation