preparation assessments – data discovery, classification, quality profiling, lineage and 'AI-readiness' health checks that establish the baseline for AI adoption. Modern data platform – Microsoft Fabric, Azure Synapse/Databricks, data lakehouse and warehouse design, migration and modernisation from legacy platforms. Data engineering and integration – ingestion pipelines, ETL/… modernisation, master data management, unstructured content preparation (SharePoint, file shares, Teams) for retrieval-augmented AI. Data governance, quality and security – Microsoft Purview, cataloguing, sensitivity labelling, information lifecycle, oversharing remediation and access hygiene ahead of Copilot deployment. Analytics and insight – Power BI, semantic models, self-service analytics enablement and reporting ...