Client:
A leading AI-powered voice automation platform
servicing quick‑service restaurants
Objective:
Process high volume, fast turnaround annotation tasks to
support AI order training—while maintaining best-in-class
accuracy and automation.
Solution:
Arise AI DataOps implemented an end-to-end
generative-AI pipeline:
Prompt Engineering & Taxonomy: Transform real-time
orders and raw voice transcripts into precise, structured
annotation schemas for consistent model inputs.
Hybrid Annotation & QA: Leverage human-in-the-loop
experts for labeling, with automated QA checks and rapid
feedback to catch edge cases.
Adaptive Feedback Loop: Continuously retrain annotators on
misclassifications and update taxonomies to refine model
understanding.
