Azure AI Foundry Custom AI Platform
Build your own “AI Factory” — a structured, governed platform in Azure AI Foundry for experimenting, deploying and managing custom AI models aligned to your unique business needs.
From platform setup to your first AI model in production
nfrastructure provisioning, platform configuration, pilot use-case development, governance setup, team enablement and operational handover.
Platform Setup & Configuration
Provision Azure AI Foundry (Hub + Projects), configure compute resources, connect data sources, set up Azure OpenAI Service, AI Search and related PaaS services. Establish network security and RBAC policies from day one.
Pilot Use-Case Development
Implement one functional use case end-to-end — e.g., intelligent document processing, RAG knowledge assistant, or content classification — demonstrating the platform’s full capability stack.
MLOps & Governance
Configure model lifecycle management: prompt versioning, evaluation benchmarks, content filtering, cost dashboards and approval workflows. Ensure responsible AI guardrails are embedded in every deployment.
Monitoring & Observability
Set up Application Insights for latency/throughput tracking, model performance dashboards, cost monitoring per project/team and alerting rules for anomalies.
Hands-On Workshop
Intensive practical workshop: the client’s IT & data team learns to create new AI projects, run experiments, deploy models, configure prompt flows and manage the platform autonomously.
Documentation & Handover
Complete platform documentation including architecture diagrams, security configuration, operational procedures, cost optimization guidelines and an expansion roadmap for future use cases.
Your own AI development hub
Scalable AI Infrastructure
Enterprise-Grade Governance
Rapid Experimentation
Cost Transparency
Microsoft Ecosystem Integration
Team Autonomy
What you receive
Practical, actionable outputs – not theoretical reports. Everything you need to make informed decisions and move forward with confidence.
Fully Configured Azure AI Foundry Platform
Production-ready environment with Hub, Projects, connected services, security policies and RBAC — your enterprise “AI factory” ready to scale.
Functional AI Pilot in Production
One end-to-end use case deployed, tested and validated — proving the platform works and delivering immediate value.
MLOps Governance Framework
Model lifecycle management, evaluation pipelines, content filtering policies, cost allocation rules and responsible AI guardrails — all documented and operational.
Expansion
Roadmap
Prioritized plan for additional use cases, advanced deployment patterns (fine-tuning, multi-model orchestration) and platform scaling guidelines.
The Arquiconsult advantage
Deep Azure AI expertise. Certified in Azure AI Foundry, Azure OpenAI and the broader Azure data platform. We’ve deployed AI factories for enterprises across multiple industries.
End-to-end — from infra to use case. Unlike generic cloud consultants, we don’t just set up infrastructure. We deliver a working AI solution on the platform, proving value from day one.
Governance-first approach. Security, cost controls and responsible AI are built into the platform from the start — not bolted on later. This prevents costly rework and compliance issues.
Knowledge transfer, not dependency. The workshop and documentation are designed so your team can run the platform without us. We want to empower, not create vendor lock-in.
Connected to the full Microsoft stack. With expertise in Dynamics 365, Power Platform, Fabric and Azure, we can advise on how the AI Foundry connects to your broader digital ecosystem for maximum impact.
