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    Reinforced Learning & LLM Data Workflows

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    Challenge

    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.

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    Solution

    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.

    Arise Reinforced Learning Results

    24

    Turnaround SLA
    hour average task completion

    99.7%

    Accuracy
    first‑pass accuracy (< 0.3% rework rate)

    90%

    First‑Pass Yield
    tasks completed without manual corrections within first 2 weeks

    99%

    Upsell
    Offered on 99% of orders

    80%

    Automation
    repeatable work handled by optimized workflows

    97%

    Stakeholder Satisfaction
    positive feedback on deliverables

    Each brand has a unique CX need. Schedule a time to meet with our CX experts to learn how Arise can help.

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