Case Study: Woflow achieves 50% faster AI development with Vellum

How Woflow Decoupled AI Updates for 50% Faster Delivery — Without the Infra Stress

Woflow, a company that automates merchant onboarding for clients like Walmart and DoorDash, faced challenges in managing and rapidly updating its complex AI systems without slowing down application deployments. They sought to decouple AI updates from their core application to enable faster iterations and testing. To solve this, they turned to the vendor Vellum and implemented Vellum Workflows.

By using Vellum Workflows, Woflow was able to centralize and visually manage its AI logic, eliminating the need for extensive boilerplate code and complex infrastructure management. This solution allowed them to decouple AI updates from app deployments, enabling them to make updates up to 20 times a week without a full redeploy. As a result, Vellum helped Woflow accelerate its entire AI development process by 50%, significantly speeding up the delivery of new features and fixes.

Woflow

Michael Liu

Data Scientist