Challenge:

A leading global life sciences company faced significant operational and financial challenges in verifying credit applications submitted by farmers purchasing its products.

Each request required 30+ policy checks, making comprehensive oversight impractical.

The company had allocated over 100 employees dedicated to reviewing applications, with each check taking 30 minutes and involving 2–4 people.

With 50,000 submissions annually, manual reviews consumed vast resources and limited scalability.

This created high costs and left the organization exposed to risks from potential policy violations.

Solution:

The company partnered with Palqee to deploy Prisma as its high-precision AI evaluation layer.

Prisma was applied to automate and scale submission reviews outputs with the goal was to provide insights into the quality of submissions and policy adherence while reducing risk exposure and operational costs.

Approach:

Prisma evaluated submissions against company-specific policies with high precision and automated checks replaced manual reviews, dramatically increasing coverage.

Prisma also learned from human experts through human-in-the-loop (HITL) during the evaluation process, integrated to current systems.

This approach provided visibility into application trends and areas requiring attention.

Results:

• Efficiency gains of over 90% in submission checks.

• Significant reduction in risk exposure by detecting policy violations that manual reviews missed.

• Operational costs lowered by reducing reliance on large-scale manual review teams.

• Improved oversight of the credit approval process, enabling more confident decision-making.

  
  

Conclusion:

By implementing Palqee’s Prisma, the life sciences company transformed its credit application review process.

Risks tied to manual oversight were mitigated and operational costs dropped while review efficiency increased dramatically.

Business leaders gained confidence in scaling AI-driven evaluations across credit and compliance workflows.