A governed data foundation
Fabric or Synapse with lakehouse patterns, lineage and access control.
Azure
Data and AI services that give Copilot something to work with
AI use cases fail on data more often than on models. BD-S builds governed data platforms on Fabric and Azure, and the AI services on top, so Copilot, agents and analytics draw on sources you trust.
The problem it solves
Why organisations look at Azure Data and AI
Reporting from extracts
Analysts rebuild the same datasets from exports, with different answers each time.
Unstructured content is invisible
Documents, cases and records that AI cannot reach because they are not indexed or classified.
AI pilots that cannot go to production
Prototypes on personal keys and sample data with no path to a governed service.
Where BD-S adds value
More than a product install
Retrieval that respects permissions
Azure AI Search over content with security trimming for RAG and agents.
Production AI services
Azure OpenAI and Azure AI services deployed with private networking, monitoring and cost controls.
Responsible AI in practice
Evaluation, content safety and human review designed into every service.
Services
Advisory and implementation
Data platform foundation
Fabric or Synapse design and build with governed models and Power BI.
AI readiness and architecture
Data, security and platform review for Copilot and agent use cases.
RAG and AI application delivery
Search, orchestration and AI services engineered to production standard.
Analytics
Semantic models, reporting and self-service analytics on the platform.
Use cases
Where it fits
- Enterprise reporting platform replacing extract-based reporting
- Knowledge search across policy, case and records repositories
- Agent grounding for Copilot Studio and Microsoft 365 Copilot
- Document intelligence for high-volume forms and correspondence
Part of the wider Microsoft ecosystem
The data platform draws on Dataverse, Dynamics 365, Microsoft 365 and operational systems, and feeds Copilot Studio agents, Microsoft 365 Copilot extensions and Power BI.
Governance and security
Built to be governed
- Data classification and Purview lineage across the platform
- Row-level and object-level security aligned to source systems
- AI service evaluation, content safety and logging
- Cost and capacity monitoring for Fabric and AI workloads
Adoption and managed support
After go-live
Data and AI services are operated under the managed service with pipeline monitoring, model and index refresh, quality review and enhancement capacity.
Related Microsoft capabilities
Talk to us about your Microsoft environment
Tell us where Azure Data and AI fits in your plans and we will suggest a sensible first step.