Leading organizations scale AI-powered operations with Azure Cosmos DB
At Azure Cosmos DB Conf 2025, industry leaders like DocuSign, H&R Block, and QVC showcased real AI-powered applications built on Azure Cosmos DB. DocuSign applies Cosmos DB's AI vector search for scalable contract management, serving over 1.6 million customers and a billion signers. H&R Block modernizes tax preparation with Cosmos DB-based analytics, improving performance and customer experience. QVC built a solution for real-time centralized inventory tracking across channels. The conference included discussions on predictive maintenance, enterprise AI agent orchestration, and integrations with Microsoft Fabric for scalable AI workflows, as well as demonstrating innovations like DiskANN for high-performance vector search. These examples underline the scalability, security, and cost-effectiveness of Cosmos DB for real-world, agentic, and retrieval-augmented generation (RAG) AI applications.
- Organization
- DocuSign
- Industry
- Tech & Comms
- Location
- United States
- Published
- March 2025
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- DocuSign, H&R Block, QVC
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- devblogs.microsoft.com
Deployed Azure Cosmos DB for scalable, serverless, multi-model data management
Primary read
Use case focus
Showing 3 of 4
- 1AI-powered contract management
- 2Real-time analytics
- 3AI agent orchestration
- Handling billions of signer records and a million+ customer contracts at DocuSign.
- Modernizing high-volume tax service analytics for H&R Block.
- Real-time, cross-platform inventory tracking for QVC.
- Scaling predictive maintenance data and analytics workflows.
- Orchestrating multiple AI agents and real-time data flows across an enterprise.
- Deployed Azure Cosmos DB for scalable, serverless, multi-model data management.
- Leveraged AI vector search capabilities for semantic querying and RAG patterns.
- Integrated Cosmos DB with Microsoft Fabric for semantic layering and mirroring AI data.
- Implemented realtime analytics using GPU-accelerated Spark and database change feeds.
- Orchestrated enterprise-wide agent-based AI workflows atop Cosmos DB.
- DocuSign manages a billion signers and 1.6 million customers with Cosmos DB-powered AI insights.
- H&R Block delivers modern, AI-driven analytics for enhanced tax preparation.
- QVC enables seamless inventory and product data tracking across all sales channels.
- AI-powered predictive maintenance platforms demonstrated real-time operational gains.
- Enterprise AI agent orchestration and RAG workflows deployed live to production.
Architecture
AI-enabled applications leverage Azure Cosmos DB’s vector and NoSQL capabilities, integrate DiskANN for semantic search, and link to Microsoft Fabric for semantic data layering, knowledge retrieval, and enterprise agent orchestration. Real-time analytics uses GPU-powered Spark and database change feed integrations. RAG patterns are applied for smart information retrieval.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Technical implementation details available
- Recent evidence check available
- Last evidence check: Jul 22, 2026.
The case's original source is still reachable.
- Cited source last checked Jun 12, 2026 — ok (0/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
AI-generated summary. Verify important details with the linked sources before relying on this case.
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