making. Engagements cover data quality, lineage, metadata management, and privacy-by-design guidance aligned to regulatory obligations. Teams prototype machine learning use cases, set up MLOps workflows, and prepare data foundations for predictive analytics. Delivery models span advisory, project execution, and knowledge transfer to client teams. Typical toolsets include mainstream cloud services, data orchestration frameworks, and visualization platforms selected to fit client requirements.