How Embee Software designed a scalable, cost-governed Azure foundation for a leading Indian healthcare provider to launch digital, analytics, automation, and Azure OpenAI-powered workloads on a single common platform.
The Challenge
The customer, one of India’s largest fertility-care providers, wanted to launch and scale multiple AI use cases across its business functions, but had no cloud-native foundation to build on. There was no ready environment for the data ingestion, storage, processing, and model-driven workloads that modern AI initiatives require.
The core gaps:
- No cloud-native foundation to launch and scale AI use cases across business functions
- No ready environment for data ingestion, storage, processing, and model-driven workloads
- Conventional infrastructure planning would have delayed experimentation, pilots, and production AI deployment
- A need for a scalable, cost-effective platform supporting analytics, automation, and AI-enabled applications on a common foundation
- A requirement for a secure, flexible architecture to support growth, faster innovation cycles, and continuous deployment
The trigger was the urgency to support multiple new digital initiatives on a scalable, cost-effective platform rather than conventional infrastructure investment. As a greenfield environment, every new initiative would otherwise have required a separate, slow, inflexible infrastructure setup. Azure offered better commercial viability, flexibility, and faster provisioning, making it the right time to act.
The Solution
Embee Software designed and deployed Azure-based hosting environments for multiple projects, spanning core digital, analytics, and automation workloads, and established a scalable cloud foundation for future AI-led initiatives. Crucially, the engagement combined platform delivery with commercial advisory.
What Embee Software delivered:
- Azure hosting environments for multiple digital, analytics, and automation projects on a common foundation
- Provisioned and configured compute, storage, monitoring, backup, database, and platform services
- A scalable cloud foundation prepared for future AI-led initiatives, with Azure OpenAI and Azure AI Services in place
- A demonstrated Azure Enterprise Agreement (EA) billing model, showing better cost governance, centralised consumption visibility, and improved financial predictability for scaling workloads
Microsoft products & services: Azure App Services, Azure OpenAI, Azure AI Services, Azure Container Apps, Azure Cosmos DB, Azure Cache for Redis, and Azure Monitor.
Microsoft programs & co-sell: Delivered Embee-led with Microsoft support, drawing on Azure Accelerate (Migrate & Modernize and Data Platform), AMM Partner-Led Infra/DB Migration, and Azure Innovate Partner-Led Analytics.
What made Embee Software’s approach different:
- Combined solution architecture, cloud-platform design, and commercial advisory in a single engagement, rather than treating it as infrastructure provisioning alone
- Built one scalable Azure foundation for many digital and future AI initiatives, instead of isolated, project-by-project environments
- Brought the commercial advantage of Azure EA billing: faster deployment, stronger cost governance, and long-term scalability
- Blended technical depth, platform thinking, and clear business value
Results & Impact
| Metric | Before → After / Outcome |
| Cloud foundation | Conventional per-project infra → one common, scalable Azure platform |
| Workloads supported | Digital, analytics, automation, and AI-ready workloads on a single foundation |
| AI readiness | Azure OpenAI and Azure AI Services provisioned |
| Commercial model | Azure EA billing for cost governance and consumption visibility |
| Time to results | Within 3 months |
| Environment provisioning time | Weeks (conventional) → hours–days on Azure |
| Infrastructure cost vs conventional | ~30–40% lower TCO |
| Platform availability | ~99.9% |
How the provider operates differently now:
- Works from a common Azure platform supporting multiple projects with faster provisioning and easier scalability
- Launches new digital, analytics, and future AI use cases with greater speed and less operational friction
- Has better cost control and consumption visibility through the Azure EA model
- Operates with improved governance and long-term cloud readiness
Customer Voice
“Embee Software gave us one scalable Azure foundation to build on instead of standing up infrastructure project by project. We can now launch new digital and AI initiatives far faster, with better cost control.”
— IT Manager, leading Indian fertility-care provider
The AI-Readiness Angle
Unlike a pure infrastructure project, this engagement put AI at the centre of the design. With Azure OpenAI and Azure AI Services provisioned on the new foundation, the provider can move from experimentation to production on AI use cases without standing up new infrastructure each time, turning the platform into a launchpad for intelligent, AI-enabled applications across business functions.
Why the Provider Chose Embee Software
- A single engagement combining solution architecture, platform design, and commercial advisory
- A scalable, AI-ready Azure foundation for many initiatives, not isolated setups
- Clear commercial value through the Azure EA billing model
- Technical depth paired with platform thinking and business outcomes
Repeatability: Delivered with Embee Software’s Cloud Adoption Framework-based accelerator for landing-zone and workload deployment, making the model repeatable across enterprise customers.
Build an AI-Ready Cloud Foundation, Once
The fastest way to slow down an AI programme is to rebuild infrastructure for every use case. Embee Software designs reusable Azure foundations that carry digital, analytics, automation, and AI workloads on one governed platform, combining cloud consulting and assessment, Azure cloud services, cloud migration, and ongoing cloud optimization so cost stays governed as you scale.
For healthcare organisations, that means new patient, clinical, and operational initiatives can launch in days rather than waiting on infrastructure projects, with cloud security and cloud managed services keeping the platform secure and supported.
As a Microsoft Frontier Partner, we pair architecture with commercial advisory so the platform is affordable as well as capable. Explore more customer success stories.
Planning your first AI use case? Talk to our cloud and AI specialists about building the foundation once and reusing it for everything that follows.
