Enterprise Azure AI Solutions
Transform your business with Azure AI. We offer a range of solutions, including:
- Azure OpenAI Service (GPT-4)
- Custom Machine Learning models
- Cognitive Services
- AI governance
With 29 years of experience in the Microsoft ecosystem, we deliver enterprise-grade AI solutions.
Comprehensive Azure AI Solutions
From OpenAI to Machine Learning—we cover the full Azure AI ecosystem.
Azure OpenAI Service
Enterprise GPT-4, GPT-3.5, and DALL-E deployments with private endpoints and compliance controls.
Azure Machine Learning
Custom ML model training, deployment, and MLOps with Azure Machine Learning studio.
Cognitive Services
Pre-built AI APIs for vision, speech, language, and decision-making capabilities.
AI Governance & Compliance
Enterprise AI governance frameworks ensuring responsible AI, security, and regulatory compliance.
AI Workflow Automation
Integrate AI into business processes with Azure Logic Apps, Power Automate, and custom solutions.
AI Monitoring & Observability
Real-time AI model monitoring, performance tracking, and automated alerting.
Proven Azure AI Implementation Approach
Assess
Evaluate AI readiness, identify use cases, data quality assessment, and compliance requirements analysis.
Design
AI architecture design, model selection, governance framework, and security baseline establishment.
Deploy
Model training, testing, deployment to production endpoints, and integration with existing systems.
Monitor
Continuous monitoring, performance optimization, bias detection, and cost management.
Compliance-First Azure AI Solutions
Industry-specific AI architectures with built-in compliance.
Healthcare
HIPAA-compliant AI for diagnostics, patient risk prediction, and clinical decision support with full compliance.
Financial Services
Fraud detection, risk modeling, and algorithmic trading with SOC 2 compliance.
Government
FedRAMP AI solutions for federal, state, and local government with secure deployments.
Manufacturing
Predictive maintenance, quality control, and supply chain optimization with Azure IoT + AI.
Your Azure AI Partner for Enterprise Success
Gold Partner experience with deep Azure AI knowledge
Enterprise-grade AI implementations
HIPAA, SOC 2, FedRAMP across regulated industries
Follow-the-sun support model
Azure AI Success Stories
See how we've helped clients with enterprise Azure AI implementations
"The supply chain analytics EPC Group built saved us $1.2M in inventory costs. Incredible attention to detail and HIPAA compliance."
David Thompson
VP of Operations
Pacific Coast Health
"Financial forecasting with Power BI AI capabilities has transformed our planning. We predict member behavior with 92% accuracy now."
Patricia Anderson
VP of Finance
Midwest Credit Union
"Supply chain visibility across 200 suppliers in one dashboard. EPC Group understood our complex manufacturing needs."
Thomas Clark
Supply Chain Director
Advanced Components LLC
Ready to achieve similar results?
Get Started TodayFrequently Asked Questions
Common questions about our Azure AI consulting services
What is Azure OpenAI Service and how is it different from ChatGPT?
Azure OpenAI Service is an enterprise version of OpenAI models (GPT-4, GPT-3.5, DALL-E) hosted in Microsoft Azure. Unlike consumer ChatGPT, it offers private endpoints, no data retention by OpenAI, HIPAA/SOC 2 compliance, SLA guarantees, and integration with Azure security controls. Your data never leaves your Azure tenant.
Is Azure AI HIPAA compliant for healthcare applications?
Yes. Azure AI services can be configured for HIPAA compliance with Business Associate Agreements (BAA), encrypted data at rest/in transit, private endpoints, audit logs, and PHI protection controls. We implement Azure AI with HIPAA-compliant architectures including Azure Key Vault, managed identities, and Azure Policy governance.
How much does Azure OpenAI Service cost?
Azure OpenAI pricing is token-based: GPT-4 Turbo is ~$0.01/1K input tokens and ~$0.03/1K output tokens. GPT-3.5 Turbo is ~$0.0005/1K tokens. Exact pricing varies by region and model version. We help optimize costs through prompt engineering, caching strategies, and right-sizing model selection (GPT-3.5 vs GPT-4).
Can you fine-tune GPT-4 on our proprietary data?
Yes. Azure OpenAI Service supports fine-tuning on GPT-3.5 Turbo and GPT-4 models using your custom training data. We handle data preparation, fine-tuning job execution, model evaluation, and deployment. Fine-tuned models remain private to your Azure subscription and comply with your data residency requirements.
What AI governance framework do you recommend?
We implement a 7-pillar AI governance framework: (1) Model Risk Management, (2) Responsible AI principles (fairness, transparency, accountability), (3) Data governance, (4) Security & privacy controls, (5) Bias detection & mitigation, (6) Explainable AI, and (7) Continuous monitoring. This aligns with NIST AI Risk Management Framework and industry best practices.
How long does an Azure AI implementation take?
Timelines vary by complexity: Azure OpenAI proof-of-concept (2-4 weeks), production chatbot (8-12 weeks), custom ML model (12-20 weeks), full AI platform with governance (6-12 months). We use agile sprints to deliver incremental value, with initial POCs often deployed in under 30 days.
Ready to Transform Your Business with Azure AI?
Get a free Azure AI consultation. We'll discuss your AI strategy, compliance requirements, and ROI projections.
Related Resources
Azure OpenAI Enterprise Deployment Guide
Architecture-to-production guide for Azure OpenAI: model selection, RAG, responsible AI guardrails, and cost optimization.
Microsoft Copilot Studio Enterprise Guide
Build custom AI agents with Copilot Studio: low-code bot development, knowledge bases, and compliance controls.
Microsoft Copilot ROI Calculator
Calculate enterprise AI ROI with our detailed break-even analysis framework for Microsoft Copilot deployments.
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Azure AI Consulting: Azure OpenAI & Machine Learning
EPC Group provides enterprise Azure AI consulting, including:
- Azure OpenAI Service (GPT-4)
- Machine Learning
- Cognitive Services
- AI governance
We implement a 7-pillar AI governance framework. Our team configures Azure AI to ensure compliance with:
- HIPAA
- SOC 2
- FedRAMP
With 29 years of Microsoft consulting experience, we hold all six Solutions Partner designations.
Key facts
- Azure OpenAI Service provides access to GPT-4, GPT-4 Turbo, Codex, and DALL-E models — all on Azure's compliance-certified infrastructure.
- Azure AI services can be configured for HIPAA compliance with a Business Associate Agreement (BAA), private endpoints, encrypted data, and audit logs.
- EPC Group implements a 7-pillar AI governance framework: Model Risk Management, Responsible AI, Data Governance, Security & Privacy, Bias Detection, Explainable AI, and Continuous Monitoring.
- Azure Confidential Computing (DCadsv5/ECasv5 series) protects data IN USE — not just at rest and in transit — using AMD SEV-SNP and Intel TDX enclaves.
- EPC Group has 29 years of Microsoft consulting experience and core Microsoft Solutions Partner designations.
Azure AI services we implement
- Azure OpenAI Service — GPT-4, GPT-4 Turbo, Codex, and DALL-E. Custom fine-tuning on your data. Private deployment in your Azure subscription.
- Azure Machine Learning — ML pipelines, model training, AutoML, and MLOps for custom predictive models.
- Azure Cognitive Services — Vision, Speech, Language, and Decision AI services pre-built for common scenarios.
- AI Builder (Power Platform) — no-code AI for Power Apps and Power Automate workflows.
- Copilot Studio — custom AI agents grounded in your SharePoint, Dataverse, and Azure data.
- Azure AI Search — vector search, semantic ranking, and RAG (Retrieval-Augmented Generation) architectures.
The 7-pillar AI governance framework
EPC Group implements AI governance across seven pillars on every Azure AI engagement:
- Model Risk Management — risk classification, model cards, and audit trails for every AI model.
- Responsible AI principles — fairness, transparency, accountability, and safety controls mapped to Azure AI services.
- Data governance — content remediation, sensitivity labeling, and Purview integration before AI deployment.
- Security and privacy controls — private endpoints, CMK encryption, DLP for AI outputs, and role-based access.
- Bias detection and mitigation — automated fairness testing on model outputs using Azure Responsible AI tooling.
- Explainable AI — human-readable explanations for AI decisions using Azure InterpretML and Responsible AI dashboard.
- Continuous monitoring — model drift detection, performance dashboards, and incident response alerts.
Compliance: HIPAA, SOC 2, FedRAMP
HIPAA
- Azure AI services configured with Microsoft HIPAA BAA.
- PHI encrypted at rest (AES-256) and in transit (TLS 1.3).
- Private endpoints prevent PHI from traversing the public internet.
- Audit logs capture every API call to Azure OpenAI for 6-year retention.
SOC 2
- Azure holds SOC 2 Type II for all AI services.
- EPC Group maps AI workloads to SOC 2 Trust Service Criteria (Security, Availability, Confidentiality).
- Evidence packages produced for annual SOC 2 audits.
FedRAMP
- Azure Government Cloud holds FedRAMP High authorization.
- Azure OpenAI Service is available in Azure Government for FedRAMP workloads.
- IL4/IL5 workloads are supported in Azure Government with appropriate controls.
Azure Confidential Computing
Azure Confidential Computing safeguards data while it is being used, not just when it is stored or being transferred. It employs two key technologies:
- AMD SEV-SNP
- Intel TDX
These hardware enclaves ensure that even the Azure host operator cannot access the data.
This is the right choice for regulated workloads that require cryptographic proof of data isolation. Use cases include:
- Clinical analytics on PHI running on shared Azure infrastructure.
- Financial services M&A modeling with confidential deal data.
- Federal IL5 workloads requiring hardware-attested isolation.
Supported on DCadsv5 and ECasv5 series VMs in Azure.
FinOps for Azure AI
Azure AI workloads have predictable and variable cost components. EPC Group applies FinOps controls to manage both:
- Azure Reservations (1-yr or 3-yr) — 30–72% savings on predictable GPU and compute VM workloads.
- Azure Savings Plans — extend compute discounts across instance families for flexible AI workloads.
- Azure Hybrid Benefit — BYOL Windows Server and SQL Server licenses cut compute costs by an additional 40–49%.
- Azure OpenAI token monitoring — track prompt and completion token consumption per model, per team.
Frequently asked questions
What is Azure OpenAI Service?
Azure OpenAI Service is Microsoft's managed deployment of OpenAI's models. It features GPT-4, GPT-4 Turbo, Codex, and DALL-E. This service runs within your Azure subscription, keeping your data secure in your Azure environment.
The service offers compliance with:
- HIPAA BAA
- SOC 2
- FedRAMP
Is Azure OpenAI HIPAA compliant?
Yes — with proper configuration. The Azure OpenAI Service is covered by Microsoft's HIPAA BAA. To ensure compliance, you need to configure:
- Private endpoints
- Audit logging
- Encryption
- Access controls
EPC Group manages all HIPAA configuration for Azure OpenAI deployments in healthcare settings.
What is the difference between Azure AI and Azure OpenAI?
Azure OpenAI Service focuses on OpenAI's large language models, including GPT-4, DALL-E, and Codex. In contrast, Azure AI encompasses a wider range of services. This includes:
- Cognitive Services (Vision, Speech, Language)
- Machine Learning
- AI Search
- Responsible AI tooling
Azure OpenAI is part of the larger Azure AI platform.
What is Azure Confidential Computing?
Azure Confidential Computing uses hardware-based trusted execution environments (AMD SEV-SNP or Intel TDX enclaves) to protect data while it is being processed.
This encryption protection is designed for data IN USE. It prevents even Azure's host operator from accessing data within the enclave. This feature is crucial for the most sensitive regulated workloads, which include:
- Financial services
- Healthcare
- Government data
- IL5
- Clinical PHI analytics
How much does Azure AI consulting cost?
The costs for our services are as follows:
- AI Readiness Assessment: $25,000–$75,000 (4–6 weeks)
- Azure OpenAI deployment: $50,000–$150,000 (single use case, governance included, 8–12 weeks)
- AI Governance Implementation: $100,000–$300,000 (12–24 weeks)
Ongoing managed services include monitoring, retraining triggers, and quarterly compliance reviews.
Schedule a consultation
EPC Group delivers enterprise Azure AI solutions with compliance-first architecture. Call (888) 381-9725 or request a discovery call to discuss your Azure AI project.