Dynamics 365 implementation and ERP modernization with AI integration
Alpha Variance Solutions is a Dynamics 365 specialist focused on finance and operations implementations for enterprise clients. The tech stack reveals a dual-track engineering approach: deep Microsoft ecosystem expertise (Dynamics 365, Azure, Power Platform, C#/.NET) paired with emerging AI capabilities (PyTorch, TensorFlow, Azure OpenAI, Azure AI Studio). Active projects around copilot-driven solutions and AI-enabled ERP strategy signal a shift from pure implementation consulting toward AI-augmented finance operations—a move their recent hiring velocity (4 roles in 30 days) appears designed to support.
Alpha Variance Solutions, founded in 2015 and headquartered in New York, provides implementation and modernization services for Microsoft Dynamics 365 environments. The firm specializes in multi-entity finance and operations deployments, supply chain management configurations, and custom workflow/reporting work. Recent project activity centers on data migration, integration complexity, and enterprise modernization using Dynamics 365 as the foundation—increasingly with AI components. The team operates across the US, Germany, and India, with current hiring weighted toward senior engineering roles.
Core stack: Dynamics 365 (Finance & Operations, Supply Chain Management, Commerce, Business Central), Azure DevOps, Power Platform, C#, ASP.NET Core, SQL Server, Azure Data Lake, and Azure Synapse Analytics. Emerging: PyTorch, TensorFlow, Azure OpenAI Service, Azure AI Studio, and Azure Cognitive Services.
Primary focus: Dynamics 365 Finance & Operations implementations for multi-entity enterprises and supply chain modernization. Recent project expansion: copilot-driven AI solutions for finance operations and AI-enabled ERP strategies integrated with Dynamics 365.
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Alpha Variance Solutions's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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