Case Study: Wellcove achieves centralized analytics and AI fraud detection with Provectus

A Provectus Case Study

Preview of the Wellcove Case Study

Wellcove delivers centralized analytics and AI fraud detection in 6 months with Provectus

Wellcove, a third-party administrator of senior insurance programs, faced challenges with siloed, on-premises data that hindered operational visibility and fraud detection. To address this, they partnered with Provectus to build a modern, centralized data platform on AWS that could provide a single view of operations and support AI applications.

Provectus implemented a cloud data lakehouse on AWS with automated data pipelines, Power BI dashboards for analytics, and an AI-powered fraud detection model. This solution provided Wellcove's executives with real-time visibility into SLA performance, revenue, and inventory trends. The AI model now automatically flags suspicious claims patterns, reducing fraud and strengthening contract negotiations for their carrier partners. Provectus delivered the entire production platform within six months.


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