Context
Enterprise UI changes can break scripted tests, creating maintenance work and unreliable test runs.
CASE STUDY
AI Test Automation Platform
A 0→1 enterprise product focused on making UI test automation more resilient and easier to operate.
My role
Owned product direction from roadmap definition through client proof-of-concepts, partnering with engineering and client teams.
Product strategy
Sequenced the Recorder, Player, Scheduler, and data-driven testing modules around the workflows teams needed most.
AI approach
Introduced computer-vision-based UI-change detection to support more resilient automation and reduce avoidable script maintenance.
Evidence of progress
Early client POCs provided iterative validation of the workflow, adoption needs, and roadmap priorities.
Confidentiality note
Product visuals and client data are not published. This case study focuses on the product decisions and delivery scope.