Microsoft Funded Data & AI Modernization
Modernize analytics and build intelligent applications with Microsoft backed funding
Empower Your Organization to Innovate with Data & AI Modernization
Microsoft provides Azure funded Data & AI engagements to help organizations modernize analytics platforms and build intelligent applications using Azure’s Data and AI services.
These Microsoft funded engagements help reduce risk, accelerate delivery, and enable customers to unlock insights and build AI powered solutions without starting from scratch.
Services
Microsoft Funded Data & AI Engagements
Data Platform Assessment & POV
Lay the foundation for a modern analytics platform with a Microsoft funded assessment and proof of value.
Best for
- Analytics modernization planning
- Data platform strategy and architecture
- Evaluating Microsoft Fabric, Databricks, or Azure analytics
What this engagement delivers
Assessment of existing data and analytics environments
Evaluation of on‑prem and cloud data workloads
Architecture aligned to Azure analytics services
Analytics Modernization Accelerator
Modernize legacy analytics and data platforms to Azure to unlock insights and scalability.
Best for
- Data warehouse modernization
- Analytics platform migration
- Lakehouse and modern data estate implementation
- Fabric or Databricks‑based architecture
What this engagement delivers
Data migration and transformation
Technical assessment of analytics workloads
Implementation of modern Azure analytics platforms
Performance, security, & scalability optimization
AI Platform Enablement
Build intelligent applications, agents, and automation solutions using Azure AI services.
Best for
- Custom AI application development
- Intelligent agents and workflows
- AI‑driven automation
- AI platform foundations using Azure AI services
What this engagement delivers
AI platform assessment or proof of value
Architecture for intelligent applications
Implementation using Azure AI services and tooling
Integration with existing data platforms
How It Works
How Data & AI Funding Works
Supports pre‑sales (assessment/POV) and deployment engagements
Funding levels vary based on project size, workload type, and expected Azure usage
Offsets partner delivery effort, not licensing costs
Requires Microsoft approval and a defined project scope
Why proarch
Your Partner for Data & AI Modernization
- Deep expertise across analytics, data platforms, and AI
- Microsoft aligned architectures and best practices
- Experience with Fabric, Databricks, and Azure AI services
- Secure, scalable designs built for enterprise use
- End‑to‑end delivery from strategy to implementation
Ready to Modernize Data & AI on Azure?
Contact ProArch to explore Microsoft funded Data & AI opportunities and confirm eligibility.
Frequently Asked Questions
What are Microsoft‑funded Data and AI engagements?
Microsoft‑funded Data and AI engagements are Microsoft‑backed programs that help offset the cost of partner‑delivered analytics, data platform, and AI projects on Azure. These programs are designed to accelerate customer adoption of Microsoft’s Data & AI platform, including databases, analytics, Microsoft Fabric, and Azure AI services, while driving real Azure consumption.
What types of Data and AI projects qualify for Microsoft funding?
Typical qualifying scenarios include:
- Data platform assessments and proofs of value (POVs)
- Analytics modernization and data warehouse migrations
- Microsoft Fabric adoption (lakehouse, analytics, Power BI modernization)
- Database modernization (SQL, PostgreSQL, MySQL, Cosmos DB, Oracle migrations)
- AI and machine learning workloads using Azure AI and AI Foundry
- Production deployments that operationalize analytics or AI solutions
Each engagement must align to Microsoft‑defined Data & AI workloads and expected Azure consumption outcomes.
What does the funding cover—and what does it not cover?
Microsoft Data and AI funding typically covers partner‑delivered services, such as:
- Architecture and solution design
- Assessments, POVs, and technical validations
- Data migration and analytics implementation
- Fabric, database, and AI platform configuration
- Production deployment and scaling activities
Funding does not cover software licensing costs or unrelated consulting. Post‑sales offers are focused on delivery and consumption enablement—not presales sales motions.
How is the funding amount determined for Data and AI projects?
Funding is determined by the project’s expected Azure Consumed Revenue (ACR) and scope.
- Microsoft sizes projects based on planned Azure usage tied to data, analytics, and AI workloads
- Larger or more strategic Data & AI projects may qualify for higher funding caps
- Success is measured by incremental Azure usage generated after deployment
This ensures funding is aligned to real business and platform adoption outcomes.
What customer information is required to assess eligibility?
To evaluate eligibility, Microsoft typically requires:
- Customer Tenant ID and TPID
- Azure Subscription ID(s) tied to the Data & AI workloads
- Project scope and targeted Data & AI services
- Estimated Azure consumption related to the solution
This information allows Microsoft to validate eligibility and track Azure usage post‑deployment.
How does Data and AI funding support long‑term business value?
Microsoft Data and AI funding is designed to help customers:
- Modernize legacy data platforms
- Unlock advanced analytics and AI capabilities
- Reduce risk and cost during transformation
- Accelerate time‑to‑value on Microsoft’s Data & AI platform
The result is faster adoption, measurable Azure usage, and a scalable foundation for analytics and AI innovation.
