AI-Assisted Data Stewardship​ for a Global Biopharma Company 

Problem

The client’s data stewardship framework lacked scalability, adaptability, and intelligence, relying heavily on manual effort. This resource-intensive approach limited efficiency, compromised data quality, and left the organization unprepared for future growth. With rising data volumes and complexity, the need for an intelligent, scalable stewardship solution became urgent.

Solution

Fresh Gravity designed a scalable, AI-driven stewardship solution on the Azure ecosystem. Data was ingested via ADF into ADLS, enriched with Azure OpenAI for semantic processing, and processed in Databricks for quality and mapping. A user-friendly AngularJS/FastAPI interface delivered insights, lineage, and workflows. Unity Catalog ensured governance, compliance, and auditability, while DevOps-enabled CI/CD maintained seamless delivery. 

Impact

This transformative initiative empowered data stewards by automating time-consuming manual tasks, allowing them to redirect their efforts toward high-value, strategic activities that drive business impact.

By streamlining operations and embedding scalable solutions, we ensured consistent knowledge retention across the entire data stewardship lifecycle. Leveraging AI-driven insights and standardized processes, we significantly enhanced data quality and governance, fostering greater trust and reliability in enterprise data assets. Notably, the initiative delivered a remarkable 80% reduction in manual effort for the initial set of use cases, resulting in estimated savings of approximately £500,000—underscoring both operational efficiency and tangible financial value.