Generative AI
Azure OpenAI consultancy
North Peak Cloud builds secure, cost-controlled generative-AI applications on Azure OpenAI. We take you from idea to production — retrieval-augmented generation on your own data, agent workflows, or document intelligence — with private networking, content safety, evaluations and a token-versus-PTU cost strategy that keeps the bill predictable. Azure OpenAI gives you frontier models with enterprise controls; we make sure you use them safely and affordably.
- RAG on your data, agents and document intelligence
- Private networking and Microsoft Entra security
- Content safety, evaluations and responsible-AI guardrails
- Token vs PTU cost strategy
- Built on Azure AI Foundry for evaluation and deployment
AI on Azure, done right.
AI-ready foundations
Azure AI Foundry hubs and projects, private networking to your models, identity and policy guardrails — the secure base every AI workload needs before it scales.
Cost control for AI & cloud
FinOps for the AI era: token and PTU strategy, model right-sizing, reservations and anomaly detection. We find the waste your invoice is hiding.
Platform engineering
Landing zones as code in Bicep or Terraform, GitOps, policy-as-code and golden paths. Enterprise-grade Azure delivered in weeks, not quarters.
Security & responsible AI
Content filtering, evaluations, data-residency and audit-ready guardrails aligned to the EU AI Act and ISO 42001 — trustworthy AI you can put in front of customers.
Migration & modernisation
Cloud Adoption Framework migrations and Well-Architected reviews that leave you cheaper, faster and ready for AI — not just lifted-and-shifted.
Senior engineers, direct
You work with the architect who does the build — no account managers, no offshore hand-off, no gatekeeping. Answers in plain English.
Three ways to start.
An AI-ready Azure landing zone, delivered in weeks.
- Azure AI Foundry hub & projects
- Private networking to model endpoints
- Identity, RBAC & Azure Policy guardrails
- Responsible-AI baseline & content filters
- Infrastructure as code you own
- Handover & runbook
One AI use case, production-grade, on AI Foundry.
- RAG, agent or document-intelligence build
- Evaluation & guardrails wired in
- CI/CD and observability
- Cost model before you commit
- Knowledge transfer to your team
- Reusable accelerator IP
Stop AI and cloud bill shock before it starts.
- Token / PTU vs pay-as-you-go strategy
- Model right-sizing & reservations
- Cost anomaly detection
- Classic Azure estate optimisation
- Monthly reporting & reviews
- Gain-share option available
for AI.
Asked and answered.
What is the difference between Azure OpenAI and ChatGPT?+
Azure OpenAI provides the same underlying models through Azure with enterprise controls — your data stays in your tenant, with private networking, identity, content safety and compliance. It is built for organisations that need governance, not just a chat interface.
How do I control Azure OpenAI costs?+
Choose the right pricing model (pay-as-you-go vs provisioned throughput), right-size the model to the task, cache and batch requests, and monitor token usage. North Peak Cloud builds this in and can manage it as an ongoing FinOps practice.