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Amazon Augmented AI
Add human oversight to AI decisions for transparency, fairness, and regulatory compliance.
About Amazon Augmented AI
Amazon Augmented AI (A2I) is a machine learning service that enables organizations to build and manage workflows integrating human review into AI and ML systems. It addresses the critical need for human oversight in automated decision-making processes, ensuring fair, transparent, and compliant AI deployments. A2I provides a managed service for coordinating human reviewers to validate and improve model predictions across various use cases including document analysis, image classification, text moderation, and custom ML tasks. The platform enables enterprises to define review conditions, manage reviewer pools, capture feedback loops, and measure prediction confidence. By combining human judgment with machine learning, A2I helps organizations maintain quality standards, reduce bias, and meet regulatory requirements. AiDOOS enhances A2I deployment by providing expert guidance on workflow optimization, reviewer resource allocation, governance frameworks, and integration with existing ML pipelines for seamless human-in-the-loop implementations at scale.
Challenges It Solves
- AI systems make critical decisions without human review, risking unfair or biased outcomes
- Regulatory compliance requires demonstrable oversight and transparency in automated decision-making
- Organizations lack efficient mechanisms to manage human review workflows at scale
- Low-confidence predictions require manual intervention without structured review processes
- Feedback from human reviewers isn't systematically captured to improve model performance
Use Cases
Document Processing & Data Extraction
Validate AI-extracted data from documents like invoices, mortgage applications, and claims before processing. Human reviewers confirm accuracy of key fields extracted by ML models.
Content Moderation
Review flagged user-generated content, images, and text for policy violations. A2I routes uncertain moderation predictions to trained reviewers for final judgment.
Loan & Credit Decisioning
Ensure fair lending practices by having human reviewers validate AI credit decisions, particularly for borderline cases. Maintain compliance with regulatory requirements.
Medical Image Analysis
Have radiologists validate AI diagnostic predictions on medical imaging. A2I manages radiologist review queues and captures clinical feedback to improve model training.
Customer Support Ticket Classification
Route complex support tickets to specialist reviewers when AI confidence is low. Capture human classifications to continuously improve automated routing.
Pricing
Pricing available on request
Amazon Augmented AI pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Key Features
Orchestrate human reviewers with built-in task management and quality controls
Enable reviewers to handle thousands of decisions daily with structured workflowsAutomatically escalate low-confidence predictions for human validation
Route only uncertain predictions to reviewers, reducing review costs by up to 40%Define custom review conditions specific to your ML models and business rules
Configure workflows for diverse use cases without code changesCapture human judgments to retrain and improve ML models over time
Systematically improve model accuracy using real-world human validation dataFull traceability of decisions, reviewers, and feedback for regulatory documentation
Demonstrate compliance with audit trails and decision transparency reportsMonitor reviewer accuracy, consistency, and productivity metrics in real-time
Identify and coach underperforming reviewers to maintain quality standardsReviews
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Enterprise Readiness
Integrations
7 total appsSeamlessly integrate A2I workflows with SageMaker model endpoints for automated review routing on low-confidence predictions
Validate document text extraction with human review workflows for 100% accuracy assurance
Add human review to image analysis results for enhanced accuracy and bias detection
Trigger A2I workflows programmatically based on custom business logic and conditions
Directly reference documents and data stored in S3 for human review workflows
Integrate any third-party or proprietary ML model with A2I for human-in-the-loop validation
Notify reviewers of pending tasks and workflow updates via Slack or email notifications
AiDOOS Managed Deployment
Deploy Amazon Augmented AI in
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Prerequisites
Configuration Options
A Virtual Delivery Center for Amazon Augmented AI
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
- Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
- Refundable on unused Delivery Units, anytime — no questions asked
- Re-delivery guarantee on acceptance miss
- Pre-flight delivery sizing — you see the plan before you commit
How a Virtual Delivery Center delivers Amazon Augmented AI
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Outcome-Based
Pay for results, not hours
Milestone-Driven
Clear deliverables at each phase
Expert Network
Access to certified specialists