AI That Your CISO Will Actually Approve
We deploy AI inside your existing Azure security boundary. Private endpoints. Your RBAC. Your compliance. No data leaving Microsoft's walls.
AI Inside Your Microsoft Boundary
Azure AI Foundry is Microsoft's platform for deploying AI models inside your Azure environment. It supports GPT-4, open-source models, and custom fine-tuned models — all within your existing security boundary. We deploy and govern it using the same infrastructure patterns we use for every other Azure service.
The Problem
- ×CISOs at Microsoft-only shops won't approve AI services outside the Azure security boundary
- ×Engineering teams want the best AI tools but compliance says no to anything outside Microsoft
- ×Shadow AI usage, ungoverned API keys, no cost visibility, security gaps
- ×The infrastructure wasn't ready — so the pilot never became production
AI Foundry Deployment & Governance
Deploy Azure AI Foundry with private endpoints — no public internet exposure. RBAC, content filtering, Key Vault integration, and monitoring from day one.
Secure Data Integration
Connect AI Foundry to your company data over private endpoints. Audit trails for every prompt. Data classification and sensitivity labelling for AI inputs.
Copilot Readiness & Optimisation
M365 and GitHub Copilot governance. Licensing audits, usage monitoring, ROI dashboards, and data access policies. The infrastructure side, not prompt training.
Multi-Model Strategy Inside Azure
Deploy GPT-4, Phi, Llama, Mistral, and Anthropic Claude models within AI Foundry. Route workloads to the right model — expensive for complex, cheap for simple. All under your existing RBAC.
AI Strategy & Responsible Governance
RAG pipeline design, model evaluation frameworks, and responsible AI governance. We help you choose the right models for your use cases and measure real-world performance — not just demo accuracy.
The CISO Conversation
Your CISO's job is to say no to anything that creates risk. Most AI deployments create risk because data flows to third-party APIs, API keys are unmanaged, and there's no audit trail. We deploy AI inside Azure AI Foundry — the same security boundary your CISO already approved for everything else. Private endpoints. Your RBAC. Your Key Vault. Your monitoring. Nothing new to approve because it's the same infrastructure pattern.
Why Us, Not an AI Specialist?
AI specialists focus on the model. We focus on the infrastructure the model runs on.
| AI Specialists | Caleta |
|---|---|
| Focus on the model and the use case | Focus on the infrastructure the model runs on |
| Demo-driven, proof-of-concept first | Production-grade security and governance first |
| "We'll sort out networking later" | Private endpoints, RBAC, and monitoring from day one |
| Separate AI silo in your organisation | AI deployed as part of your existing Azure infrastructure |
| Often vendor-locked to one model | Multi-model strategy inside AI Foundry |
| Build the demo, hope someone else handles governance | Responsible AI governance and model evaluation built into delivery |
Anthropic Claude — Inside Your Azure Boundary
Microsoft now offers Anthropic's Claude models directly inside Azure AI Foundry. Same private endpoints, same RBAC, same compliance boundary. Your engineers get the best AI coding and reasoning tools without data leaving Microsoft's infrastructure.
Enterprise Subscription Required
Claude models in Azure AI Foundry currently require an Enterprise Agreement (EA) or Microsoft Customer Agreement Enterprise (MCA-E) subscription. Default quotas are set to zero for other subscription types — Microsoft gates access through their high-trust subscription tiers. We've been through this process and know exactly what's required: subscription eligibility, Azure Marketplace configuration, quota requests, and regional deployment to East US2 or Sweden Central.
If you don't have an EA or MCA-E subscription, your Customer Success Account Manager (CSAM) or Microsoft Sales team can help with the approval process. We guide you through it.
Available Claude Models in Azure AI Foundry
Claude Opus 4.6
Most intelligent model. 1M token context window, 128K max output. Ideal for production code, enterprise agents, financial analysis, and complex reasoning.
Claude Sonnet 4.6
Frontier intelligence at scale. 1M token context window, 128K max output. Best balance of capability and cost for coding, agents, and enterprise workflows.
Claude Haiku 4.5
Speed and cost optimised. High-volume processing, scaled sub-agents, and free-tier product features.
Claude Inside Your Azure Boundary
Deploy Claude Opus, Sonnet, and Haiku inside Azure AI Foundry — same private endpoints, RBAC, and monitoring as your other Azure services. No data leaves Microsoft.
Entra ID Authentication
Authenticate Claude via Microsoft Entra ID — the same identity your teams already use. No separate API keys to manage. DefaultAzureCredential works out of the box.
Claude Code for Engineering Teams
We use Claude Code daily for infrastructure, Terraform, and application development. We set up governance — token budgets, usage dashboards, and clear data policies.
Hybrid AI Development Strategy
GitHub Copilot for routine code completion. Claude Code for complex architecture, debugging, and refactoring. Clear governance for both tools, cost-optimised routing.
Claude in Foundry — Key Capabilities
The Full Picture
GPT-4 and open-source models for general AI workloads. Claude Opus and Sonnet for complex coding, reasoning, and agents. All deployed inside Azure AI Foundry, behind your private endpoints, governed by your RBAC. Your engineering teams also get Claude Code for daily development work. One security boundary, multiple best-in-class models, clear governance across everything.
Don't take our word for it — talk to our AI. The chatbot on this site runs on Claude's API, deployed by us, protected by Cloudflare with rate limiting and prompt injection hardening. It's a working example of the kind of secure, governed AI deployment we build for clients.
How the AI Readiness Assessment Works
A thorough assessment of your Azure environment's AI readiness, delivered as a detailed report.
Book a Call
30 minutes to understand your AI plans and current Azure environment.
We Assess
Read-only access to your Azure tenant. 3-5 working days.
Receive Your Report
15-20 pages: readiness score, security gaps, cost projections, 90-day roadmap.
Your Choice
Implement yourself using the report, or engage us for the infrastructure build.
AI Without the Surprise Bills
Same blueprints approach as our Azure FinOps service — engineering runbooks, scripts, and templates your team can execute.
GPU Right-Sizing
Don't pay for A100 when T4 handles your inference workload. We analyse actual utilisation and recommend the right SKU.
Scale-to-Zero for Dev/Staging
AI environments left running 24/7 are the new "forgotten VMs." Auto-shutdown policies for non-production GPU instances.
Spot Instance Strategy
Training workloads on Azure Spot VMs — up to 90% savings. Checkpoint-based training to handle interruptions gracefully.
Token Consumption Monitoring
Dashboard showing which teams, which models, how many tokens, what cost. Monthly trending and anomaly detection.
Regional Arbitrage
Route latency-insensitive AI workloads to cheaper Azure regions. UK South vs East US pricing differences can be 30%+.
Model Cost Routing
Expensive models for complex tasks, cheaper models for simple ones. Automatic routing based on task complexity saves 40-60% on inference costs.
Already using our Azure FinOps service? AI cost optimisation uses the same blueprints approach. If we're already optimising your Azure spend, adding AI cost governance is a natural next step.
Platforms We Work With
Works With Our Other Services
Azure FinOps
AI Readiness Assessments often reveal cloud overspend beyond AI workloads. Our FinOps service finds the waste across your entire estate.
Smart Hands
Deploying GPU hardware in a Slough data centre? Our Smart Hands team provides same-day installation and support across 38+ facilities.
Data Shuttle
Moving large training datasets or models to on-premises infrastructure? Data Shuttle transfers terabytes in hours, not weeks.
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Not sure if your Azure environment is ready for AI?
Start with an AI Readiness Assessment — we audit your Azure environment and deliver a detailed report with a 90-day roadmap. No obligation.