Overview
The Reviewer node provides a versatile human-in-the-loop layer for your workflows. Whether you need zero-touch automation, partial review, or full manual oversight, Reviewer adapts to different operational costs and quality requirements. Rich form designers, mobile interfaces, voice and chat integration, and selective QC routing empower humans to validate, correct, and guide AI outcomes. All corrections automatically feed back to AI Coach, enabling continuous improvement across extraction, classification, and decision-making workflows.
Capabilities
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Adaptive Review Levels
Support zero-touch automation, partial review, or full oversight depending on operational needs and cost.
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Rich Form Designer
Design interfaces for human operators to enter data manually, review AI-extracted information, classifications, or actions, and override decisions (e.g., approve or reject a loan case).
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Mobile Interfaces
Conduct reviews anytime, anywhere on mobile devices.
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Voice-Enabled & Chat Interfaces
Interact with workflows using voice commands or chat for faster, hands-free processing.
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Automatic AI Feedback Loop
All human corrections are sent back to AI Coach to retrain and refine models continuously.
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QC Sampling & Routing
Route a subset of documents to reviewers for quality control and auditing purposes.
Benefits
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Flexible Oversight
Balance automation with human review to optimize cost and quality.
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Enhanced Accuracy
Catch and correct errors in extraction, classification, and automated decisions.
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Continuous Model Improvement
Feed human corrections back to AI Coach for smarter workflows over time.
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Scalable QC
Easily route a percentage of documents for auditing without slowing down operations.
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Comprehensive Action Management
Empower humans to approve, reject, or adjust automated decisions confidently.
FAQ
Yes. Reviewer adapts from zero-touch automation to full manual oversight depending on workflow requirements.
Absolutely. Reviewer interfaces are mobile-friendly and support voice and chat for flexible review.
All human corrections are automatically fed into AI Coach, enabling continuous retraining and model refinement.
Yes. Reviewers can approve, reject, or adjust any automated outcome, including loan decisions, extracted data, and classification results.