Azure OpenAI Consulting Services

Concurrency, Inc.

Accelerate Business Outcomes with Generative AI on Microsoft Azure

Concurrency helps organizations unlock the full value of Microsoft Azure through the power of Azure OpenAI and related Azure-native AI services. Our consulting services are designed to drive specific business outcomes—whether it's reducing operational costs, improving customer experiences, or enabling new revenue streams—while maximizing your investment in the Azure ecosystem.

Service Overview We guide customers through the complete AI adoption lifecycle using Azure as the foundation—from envisioning and use case prioritization to secure deployment and operational scaling. Our solutions combine Azure OpenAI, Cognitive Services, Azure Machine Learning, and Azure-native data and application services to deliver business-ready, enterprise-grade generative AI solutions.

Concurrency enables you to expand your use of Azure across AI, data, and application modernization by building intelligent copilots, automating business workflows, and unlocking the value of your internal data—securely and at scale.

Sample Business Outcome Scenarios

  • Customer service automation and intelligent Q&A using Azure OpenAI
  • Real-time order status updates and process automation through Azure-integrated bots
  • AI-powered quoting & proposal generation integrated with Azure-hosted business data
  • Document summarization and invoice extraction via Azure Cognitive Services
  • Natural language insights from unstructured internal data using Azure Search + OpenAI
  • Enterprise knowledge mining with Synapse, Databricks, and AI-infused interfaces

Engagement Scope

  • AI Envisioning Workshop – Identify domain-specific opportunities using Azure-hosted data
  • Use Case Prioritization – Align to business value and Azure platform readiness
  • Prototype & Pilot – Rapid build of governed AI workloads using Azure-native tools
  • Production Roadmap – Scale AI solutions across Azure with governance, security, and ROI focus

Design Considerations

  • Deep integration of GPT models with Azure Cognitive Services
  • Custom model fine-tuning using Azure Machine Learning and Hugging Face on Azure
  • Compliance, governance, and Responsible AI practices built into every Azure workload
  • Enterprise-scale orchestration using AKS, Azure Synapse, Databricks, and Power BI
  • Deployment patterns that align with Microsoft’s Cloud Adoption Framework and AI Landing Zone

Technology Stack Azure OpenAI Service / ChatGPT Azure Cognitive Services (Language, Vision, Search) Azure Machine Learning Azure Kubernetes Service (AKS) Azure Synapse Analytics Azure Data Lake & Azure Storage Hugging Face on Azure Databricks on Azure Power BI

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