Microsoft cloud and data platform services for enterprise digital transformation
Provoke is a 20-year-old Microsoft-native services firm focused on cloud data platforms and AI integration. The stack is almost entirely Azure/Fabric/Databricks, with active migration work off SQL Server Reporting Services toward Power BI — a strategic signal of moving from legacy BI toward modern cloud analytics. Current hiring (data, engineering, sales at mid/director level) and project mix (Fabric lakehouse delivery, gen-AI agents in SDLC, Power BI migrations) indicate they're scaling delivery capacity while evolving from traditional consulting into platform-led services.
Notable leadership hires: Client Director
Provoke Solutions delivers custom software and cloud architecture services to mid-market enterprises. Based in The Colony, Texas, the company specializes in Microsoft cloud platforms (Azure, Fabric, Databricks), data modernization, and generative AI integration. Core service lines include data pipeline and warehouse design, Power BI analytics migrations, cloud architecture, and SDLC automation with AI agents. The firm is privately held with 51–200 employees and operates delivery models that balance project work with managed services around cloud platforms and database infrastructure.
Primary stack: Azure SQL, Microsoft Fabric, Databricks, Power BI, dbt, Azure Synapse Analytics, ServiceNow, Jira. Also leverages PySpark, Python, Delta Lake, Unity Catalog, and Azure Monitor. Recently phased out SQL Server Reporting Services in favor of Power BI.
Active delivery: gen-AI agent implementation in software delivery cycles, Fabric lakehouse and warehouse workloads, data pipeline/transformation development, Power BI report migrations, and high-performance tabular models in Azure Analysis Services.
The Colony, Texas. The company also has hiring activity in New Zealand and maintains a mixed services and engineering organization.
Provoke 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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.