Case Study: AI-Powered Transformation in Global Health Research

Overview

Avasant partnered with a global health innovation fund to accelerate the review and assessment of large-scale research initiatives aimed at addressing infectious disease threats. The organization sought to modernize its business processes and reduce the time-to-decision for critical funding allocations.

Challenge

The client’s existing process for reviewing scientific research submissions was complex and time-consuming—often taking several months across multiple stages. With hundreds of applications received each cycle, manual assessments created bottlenecks, delayed outcomes, and introduced the risk of inconsistent evaluations.

AI-Driven Approach

Avasant deployed a custom AI solution to streamline submission intake, assess evaluation criteria, and deliver insights that supported faster and more accurate decision-making. The solution was designed to scale across multiple research domains, from vaccine development to supply chain innovation.

 

Key Achievements

Accelerated Review Cycles

Reduced evaluation timelines by 45%

Process Efficiency

Achieved up to 60% in effort reduction cross evaluation and shortlisting areas

Enhanced Decision Accuracy

AI reduced bias and improved the consistency of assessments across hundreds of applications.

Scalable Framework

Successfully piloted in five high-priority program areas, with a roadmap for full-scale implementation.

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