Microsoft 365 and Azure migration, integration, and AI deployment for enterprises
Experts Inside builds Microsoft-centric solutions for enterprises across the DACH region, with deep specialization in M365 migrations, Azure infrastructure, and modern workplace deployments. Their active project list—AI agent development, Copilot implementation, governance frameworks—reveals a sharp pivot toward AI-native enterprise features; they're adopting LangChain and building agents on top of Power Automate, signaling movement from infrastructure-focused work toward intelligent automation. The senior-heavy engineering hiring mix (4 of 6 active roles) matches the technical complexity of integrating AI into legacy enterprise landscapes.
Experts Inside is a 40+ person consulting firm founded in 2011 in Switzerland, serving mid-market and enterprise clients in the German-speaking region. The company specializes in Microsoft 365 and Azure transformations—including tenant migrations, identity and device management (Entra ID, Intune), data integration (Azure Data Factory, Synapse), and modern workplace rollouts. Recent work centers on AI implementation: deploying Copilot pilots, building governance frameworks, measuring adoption, and automating business processes through Power Automate and agent-based solutions. They also handle vertical-specific challenges like cross-border tax compliance and legacy system migrations.
Core: Microsoft 365 (SharePoint, Teams, OneDrive), Azure (Entra ID, Intune, Data Factory, Synapse, Functions, Landing Zones), Power Platform (Power Automate, Power BI), Windows management (Autopilot, 365, Defender). AI: Copilot Studio, LangChain, RAG. Data: Microsoft Fabric, Databricks, Apache Spark. Ancillary: HubSpot, Dynamics 365, DATEV, sevDesk.
AI agent development, Copilot implementations and pilots, M365 rollouts, data governance and security frameworks for AI, adoption measurement dashboards, legacy migration, and cross-border tax/bookkeeping automation.
Experts Inside AG'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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.