Data architecture & engineering
Data discovery, integration pipelines, quality rules, lakehouse and warehouse design, lineage and access controls.
Build governed data platforms and practical AI capabilities with clear business use cases and human oversight.
Data discovery, integration pipelines, quality rules, lakehouse and warehouse design, lineage and access controls.
Fabric platform design, semantic models, reporting, dashboards and governed self-service analytics.
Assess data readiness, prioritise use cases, define success criteria and establish safe adoption boundaries.
Microsoft 365 Copilot adoption, Copilot Studio experiences and Azure AI integrations with defined permissions and review controls.
Business-process analytics, application telemetry, service monitoring and investigation support.
Access, evaluation, model lifecycle, auditability and human approval for consequential decisions.
Typical deliverables are tailored to the agreed engagement.
Every engagement connects business requirements, architecture, delivery and operational ownership.