What we do
Microsoft Foundry
Landing zone, governance and cost control for AI workloads, so a pilot can reach production without a separate security conversation.
- CAF: Govern, Secure, Manage
- WAF: Security, Cost Optimisation
The problem
AI pilots start outside the platform. A team spins up a project, points it at some data, and it works. Then someone asks which data left the tenant, who approved the model, what the content filters are set to, and what it costs per month. None of those questions have an owner, and the pilot stalls at precisely the point it was meant to scale.
You probably need this if
- A working AI pilot cannot get sign-off to go to production and nobody can say exactly why
- Model and agent deployments happen per team, so no one holds the list
- Content safety policy is wherever the default left it
- You cannot answer which data the model was grounded on, or who approved it
Recognise more than one of those? A CAF readiness assessment gives you a baseline in three to four weeks, before you commit to anything longer.
What the service covers
- AI landing zone: Foundry project and resource structure, private endpoints, and no public network path by default
- Model governance through the Foundry control plane: which Foundry Models are approved, at what version, with content safety policy set deliberately rather than left at its default
- Agent governance: managing Foundry Agent Service deployments centrally rather than per-team, so an agent in production is one somebody signed off
- Identity and RBAC across projects and connections, so access to a model is not access to the grounding data behind it
- Token limits and cost attribution per project and per model, because AI spend becomes a FinOps problem the first month it goes unmetered
- Observability and evaluation wired into your existing operations: tracing, agent evaluation, and AI red teaming before a workload faces the public
Other areas we work in
All seven areasAzure Platform Architecture
We design the platform, prove it holds under its own governance, and hand it to your team with the controls already deployed.
Cloud Security Architecture
Design the detection, tune it to your estate, and hand your team a backlog they can actually work through.
Governance & Compliance
Cloud Adoption Framework governance made operational, with evidence that survives an audit.
Who signed off the model your pilot is running against?
If that question stalls the room, it will stall the production decision too. Book a call and we will map what has to be true before it can scale.