Azure OpenAI Consulting for Businesses

Run GPT-4, embeddings, and AI workflows securely on your own Azure infrastructure—GDPR-compliant, enterprise-ready, and integrated with your existing Microsoft environment.

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✓ 80+ AI experts ✓ 25+ years of technology expertise ✓ ISO-certified ✓ Made in Germany

Azure OpenAI Consulting: AI on Your Own Infrastructure

For many companies, using AI models such as GPT-4 via the public OpenAI API is out of the question due to data protection, compliance, and confidentiality requirements. Azure OpenAI Service solves this problem—the models run on a dedicated Azure tenant, data never leaves the EU region, and Microsoft offers its well-known enterprise guarantees. The catch: a well-thought-out architecture and seamless integration require experience.

As an Azure OpenAI consulting partner, prodot supports you with in-depth engineering and Azure expertise: from architectural decisions and API integration to RAG, Semantic Kernel, Prompt Flow, and monitoring—all within your Azure environment. As a long-standing Microsoft partner, we know the Azure platform inside and out: security model, private endpoints, managed identity, content filters, and cost model included. For cloud operations and Azure operations, we work closely with Skaylink.

Long-standing Microsoft partner

Microsoft Azure as a proven foundation: prodot has been working on the Azure stack for years and has hands-on experience with its security model, cost optimization, and enterprise integration. Azure OpenAI is a natural extension of this partnership.

End-to-End Without Subcontractors

Architecture, implementation, RAG integration, monitoring, and operations—all from a single source. For cloud operations, we partner with Skaylink. No handoffs, no gaps in responsibility.

ISO-certified & GDPR-compliant

prodot’s Azure OpenAI architectures run within the EU region and use private endpoints and managed identities. Compliance requirements (GDPR, ISO 27001, NIS2) are an integral part of the architecture—not an afterthought.

Architecture & Use Case Evaluation

Model selection (GPT-4o, GPT-4, Embeddings, Whisper), deployment type, network architecture, security model, and cost estimation—to ensure your Azure OpenAI implementation is built on the right foundation from the start.

Implementation & API Integration

REST API, Azure OpenAI SDK (Python, .NET, JavaScript), Semantic Kernel, Prompt Flow — we integrate Azure OpenAI into your applications and connect data sources such as SharePoint, SAP, CRM, and ERP.

RAG & Knowledge Systems

Implementation of Retrieval-Augmented Generation on Azure Cognitive Search and AI Search: Integration with SharePoint, Confluence, SAP, and ERP; hybrid search; embeddings; and document-level permissions.

Security & Compliance

Private endpoints, managed identity, content filter configuration, GDPR-compliant data residency in the EU region, audit logs, and alignment with ISO 27001, the EU AI Act, and NIS2.

Monitoring & Cost Control

Token monitoring, cost alerts, deployment utilization, and latency tracking on Azure Monitor—to ensure your Azure OpenAI operations remain transparent, cost-effective, and stable.

Training & Scaling

Developer and architect workshops, prompt engineering, modular expansion to additional models, use cases, and departments—from the initial implementation to an enterprise-wide AI platform.

What You'll Take Away from the Azure OpenAI Consultation

GDPR compliance from the start: Data never leaves the EU region; private endpoints and managed identity are standard architectural features—no need for retrofitting before the next data protection audit.
Faster deployment into production: First API calls in one week, first production use case in 4–8 weeks—a structured onboarding process instead of a months-long evaluation process.
Microsoft Stack Integration: Azure OpenAI integrates seamlessly into your existing M365, Teams, and SharePoint environment—no parallel infrastructure, no silos.
Cost transparency: Token budgets, model routing, and monitoring prevent AI operating costs from spiraling out of control unnoticed—even as usage volumes grow.
Scalable platform: The first use case becomes the platform—modular expansion to additional departments, models, and data sources without having to start a new project from scratch.

prodot Business Intelligence Consulting for Businesses

Azure OpenAI Service: Enterprise AI on Microsoft Infrastructure

Azure OpenAI Service is Microsoft’s managed offering for OpenAI models (GPT-4o, GPT-4, GPT-3.5, Embeddings, Whisper, DALL·E)—run on Azure infrastructure in the EU region. Key differences from the direct OpenAI API: Data does not leave the selected Azure tenant; Microsoft provides a data processing agreement; the models run on dedicated instances without being used for training purposes; and private endpoints keep traffic within the enterprise network.

Successful implementation requires more than just an API key: the right deployment strategy (Provisioned Throughput vs. Standard), Semantic Kernel for complex orchestration, AI Search for RAG, and a well-thought-out security model with Managed Identity and RBAC. These architectural decisions determine whether Azure OpenAI remains an isolated experimental environment or becomes a cornerstone of your AI strategy.

prodot is familiar with these decisions from our own projects for mid-market and enterprise clients—and we’ll guide you from the initial architectural sketch through to production on your Azure environment.

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Your contact person

Katja Kammilla

sales@prodot.de

0203 3965080

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Questions & Answers

What is the Azure OpenAI Service, and how does it differ from the OpenAI API?

Azure OpenAI Service is Microsoft's managed offering for OpenAI models on Azure infrastructure. The key differences: Data does not leave the Azure region you select (an EU region is available), Microsoft provides a data processing agreement, the models run on a dedicated tenant that is not used for training purposes, and private endpoints keep traffic within the corporate network. For companies with GDPR obligations or confidentiality requirements, Azure OpenAI is therefore the preferred option.
Which use cases are particularly well-suited for Azure OpenAI?

Key use cases: Document processing (contract analysis, summaries, extraction of structured data from PDFs and emails), internal Q&A / RAG (employee assistant on SharePoint, Confluence, and SAP documents), code generation and review (CI integration, automated documentation), customer service automation (email classification, suggested replies), and Microsoft 365 extensions (Copilot Studio, Teams bots, Power Automate). We prioritize use cases based on impact, data availability, and implementation effort.
How quickly can Azure OpenAI be up and running, and how much does the consulting service cost?

The Azure OpenAI Service is typically activated in your existing Azure subscription within 1–3 days (Microsoft requires manual approval). We typically make the first API call with your data within the first week. A production use case—clearly defined and involving real users—can be implemented in 4–8 weeks. The consulting model is modular: Assessment (1–2 days), Pilot (2–8 weeks), Platform Operation (ongoing). During the initial consultation, we’d be happy to discuss the scope and budget for your specific use case.
What sets prodot apart as an Azure OpenAI Consulting Partner?

prodot is not just an AI consulting firm, but an IT service provider with over 25 years of project experience, more than 80 IT experts, and Microsoft as a long-standing partner. Our Azure expertise runs deep—we understand network architecture, security models, cost management, and enterprise integration from hands-on experience, not just from documentation. The same team that designs the architecture also implements and operates it. For cloud operations, we collaborate with Skaylink—an ISO-certified, GDPR-compliant partner with a proven track record in regulated industries.
What sets prodot apart from other business intelligence consultants?

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Who We Are

Digital Passion. Driving Innovation. We inspire people with solutions tailored to their businesses. As pioneers and trailblazers in the digital future, we’re committed to making our clients even more successful.

Passionate, interdisciplinary, and agile. These are the ingredients for our successful collaboration with our clients’ teams. Together, we integrate innovations into their existing IT infrastructure. With a short time-to-market, seamlessly and efficiently, we help our clients achieve their business goals in a more digital, secure, and smart way.