Topic of this page: Intune and Azure AI Consultancy Services
AI, Intune and Azure consulting
I develop AI agents and help teams configure, automate and operate Microsoft Intune and Azure.
Senior, hands-on support for architecture reviews, implementation work and team enablement. Clear recommendations, working assets and a clean handover.
5x Microsoft MVP
AI Platform + Security
Production-minded
Architecture, implementation and review
Microsoft Foundry · Intune · Azure
The systems I work in every day
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Prepare a useful first conversation
Bring a short description of the current system, the decision your team needs to make and the result you want to achieve. An architecture sketch, a list of affected services and a reproducible example are more useful than a broad request to optimise everything. Share public or anonymised information first. Keep credentials and customer data out of the contact form. Include any fixed deadline, platform constraint or team dependency so that we can discuss a scope that fits the actual project.
Architecture reviews, implementation and team enablement
We start with the system you run, the problem you need to solve and the result your team needs.
Secure AI agents
Architecture, evaluation, human controls and the Microsoft Foundry foundations that make an agent useful after the demo.
Intune configuration and automation
Intune architecture, remediation, security baselines and automation that reduces recurring operational work.
Azure and Microsoft Graph integration
Functions, Graph, Logic Apps, observability and the connective work between Microsoft 365, Azure and your data.
Agree on the scope, deliverable and handover before work starts.
- Start with the real context. The system, the decision, the people involved and the constraints that actually matter.
- Choose the smallest valuable move. A focused review, a working proof of concept, a build sprint or an enablement session.
- Leave a usable system behind. Decisions are documented, assets are handed over and your team knows how to operate what we built.
- A clear decision record — what to do, why it is the right trade-off and what to watch next.
- Production-ready assets — configurations, code, prompts or automation that your team can use.
- Honest implementation feedback — including the parts that need more work before they are ready for production.
- Handover to your team — documentation and a walkthrough of the delivered code and configuration.
Want to see how I think first? The AI, Intune and Azure notes on this site are the same hands-on perspective I bring into client work.
Start with the real context.
A short first conversation is free. Bring the problem, the goal and any timing or constraints. I will tell you whether I am the right person to help and what I would do next.