Microsoft Azure AI Foundry
Consulting & Architecture
CPI Consulting is a specialist Azure AI Foundry consultancy helping Australian enterprises deploy AI agents and foundation models in production. We design enterprise-grade architecture for Foundry workloads — using proven design patterns built for scale, security, and operational excellence.
Sound Familiar?
These are the most common challenges we see when enterprises come to us looking to run AI workloads on Azure AI Foundry.
No Foundry Strategy
Your organisation knows AI matters but there’s no clear plan for how Azure AI Foundry fits into your architecture. Teams are experimenting in silos with no unified approach to model deployment, agents, or data grounding.
POC Stuck in the Playground
You’ve built demos in the Foundry playground that impressed stakeholders, but the gap between a working prototype and a production-grade deployment with proper networking, monitoring, and CI/CD is proving larger than expected.
Complex Multi-Model Architecture
You need to orchestrate multiple models — GPT-4o for reasoning, embeddings for search, Phi or Mistral for lightweight tasks — but don’t know how to design the routing, fallback, and cost control patterns at production scale.
Agent Deployment is Hard
You want autonomous AI agents in production but struggle with tool integration, enterprise data grounding, safety guardrails, evaluation frameworks, and the operational complexity of running agents at scale.
Governance & Compliance Gaps
Data sovereignty, responsible AI, RBAC, private networking, content filtering — Foundry has the controls but they need proper architecture. You can’t afford to get security wrong on AI workloads handling sensitive data.
No In-House Foundry Expertise
Your team knows Azure but hasn’t operationalised Foundry for real workloads. You need architecture-level guidance from someone who has designed and shipped production Foundry deployments.
Azure AI Foundry Consulting Services
We don’t just advise — we architect, build, and deploy. Every engagement is hands-on, production-focused, and aligned to your business objectives.
Foundry Strategy & Architecture Design
From Vision to Production BlueprintWe work with your technical and business teams to design a Foundry-native architecture — model selection, project structure, hub and project topology, networking, identity, and cost controls. You get an actionable production blueprint, not a slide deck.
- Foundry readiness assessment
- Hub & project topology design
- Model catalog evaluation & selection
- Networking & private endpoint architecture
- Identity, RBAC & data governance
- Cost modelling & token budget planning
- Responsible AI & content safety configuration
- Multi-region & disaster recovery planning
AI Agent Development & Deployment
Autonomous Agents on Azure AI FoundryWe design and build production AI agents in Foundry — grounded in your enterprise data, integrated with your tools, and evaluated against real-world scenarios. From single-turn assistants to multi-step autonomous agents that reason, call APIs, and complete complex workflows.
- Foundry Agent Service design & deployment
- Grounding with Azure AI Search & enterprise data
- Tool-use & function calling integration
- Multi-agent orchestration patterns
- Human-in-the-loop controls
- Prompt flow pipelines
- Agent evaluation & red-teaming
- Monitoring, tracing & observability
Model Deployment & Management
Production-Grade Model OperationsWe deploy and manage foundation models in Foundry — whether it’s Azure OpenAI models, open-source models from the model catalog, or fine-tuned variants. Proper provisioning, scaling, versioning, and cost management from day one.
- Azure OpenAI model deployment (GPT-4o, o-series)
- Model catalog deployment (Phi, Mistral, Llama, Cohere)
- Serverless vs. managed compute selection
- Fine-tuning & distillation workflows
- Model versioning & blue-green deployment
- Throughput provisioning & autoscaling
- Token usage monitoring & cost optimisation
- Multi-model routing & fallback strategies
Enterprise Integration & Platform Engineering
Foundry as an Enterprise AI PlatformWe integrate Foundry into your broader Azure ecosystem — connecting to your data platform, CI/CD pipelines, monitoring tools, and governance frameworks. Your AI platform is not a silo; it’s a governed, observable, integrated part of your enterprise architecture.
- Azure AI Search & vector index integration
- Data pipeline & ETL orchestration
- CI/CD for prompt flows & agent deployments
- Azure Monitor, App Insights & tracing
- Private networking & VNet integration
- Key Vault & managed identity configuration
- API Management integration
- Compliance & audit logging
What We Help You Build on Foundry
These are the production AI workloads we design and deploy for enterprises on Azure AI Foundry — architecture patterns proven at scale.
Employee-Facing Conversational AI
Enable employees to interact with AI agents through natural language — integrated into your enterprise applications, internal portals, and business workflows for real productivity gains.
RAG Over Domain-Specific Knowledge
Ground AI responses in your company-specific data by fetching relevant information from internal repositories, SharePoint, databases, and document stores before generating answers.
Agentic Orchestration
Build long-lived agents that orchestrate multi-step interactions, call tools, access knowledge sources, and manage conversation state over time — going far beyond simple chat.
Secure Enterprise Deployment
Deploy AI workloads with private networking, identity-based access, zone redundancy, disaster recovery, and governance controls built for compliance-heavy environments.
Scalable Model Inference
Use Azure OpenAI GPT models as the reasoning backbone with provisioned throughput, traffic spillover patterns, and cost management strategies designed for production scale.
The Numbers Behind the Expertise
We bring senior architecture-level capability to every Foundry engagement. This isn’t a generic cloud consultancy — it’s enterprise AI architecture from a published expert.
Our Foundry Engagement Process
Every Foundry engagement follows a structured, transparent process. No black boxes, no vague deliverables — just production-ready AI architecture.
Discovery & Architecture Assessment
We review your current Azure environment, AI use cases, data landscape, and organisational readiness. You get a prioritised list of Foundry opportunities ranked by business impact, feasibility, and time to value.
Foundry Architecture Design
We design the hub and project topology, model selection, networking, identity, data grounding strategy, and agent architecture. You receive a production-ready technical blueprint covering data flows, security boundaries, cost projections, and performance targets.
Build & Deploy
We implement the Foundry architecture hands-on — deploy models, build agents, configure prompt flows, integrate data sources, and validate against real workloads with your team before go-live.
Operationalise & Scale
Your Foundry platform goes into production with proper monitoring, cost controls, CI/CD pipelines, and guardrails. We provide documentation, knowledge transfer, and ongoing support as your AI capabilities mature.
Ready to Build on Azure AI Foundry?
Book a free 30-minute Foundry strategy session to discuss your use cases, architecture challenges, and goals. No obligation, no sales pitch — just a straight conversation about how Azure AI Foundry can power your enterprise AI workloads.