The challenge
The client needed to validate whether a generative AI solution could meet its performance and security needs, integrate with Microsoft 365 and keep outbound data transfer costs under control.
Demonstrated generative AI on Microsoft Fabric and Azure, testing performance, row-level security, Microsoft 365 integration and data transfer costs.
Ref: DMSFT105543
Video story · 1:01
The challenge
The client needed to validate whether a generative AI solution could meet its performance and security needs, integrate with Microsoft 365 and keep outbound data transfer costs under control.
The approach
Kumulus prepared and integrated source data in Microsoft Fabric, applied row-level access controls and validated generated responses, with delivery managed through DevOps and CI/CD pipelines on Azure.
The outcome
Guided a secure, cost-aware reporting transition by validating a migration path from AWS QuickSight to Power BI on Microsoft Fabric. It connected directly to 22 Iceberg tables in S3, recreated a representative dashboard and assessed performance, row-level security and data-transfer costs.
Could this work for your organisation?
The AI Audit shows where data and AI will deliver measurable value for you first.