aid: amazon-augmented-ai
name: Amazon Augmented AI
description: >-
  Amazon Augmented AI (Amazon A2I) is a machine learning service that makes it easy to build the workflows required for
  human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy
  lifting associated with building human review systems or managing large numbers of human reviewers.
type: Index
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
    - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/amazon-augmented-ai.png
tags:
  - Amazon Augmented AI
  - Human In The Loop
  - Machine Learning
  - AI Review
  - AWS
url: https://raw.githubusercontent.com/api-evangelist/amazon-augmented-ai/refs/heads/main/apis.yml
created: '2026-03-16'
modified: '2026-06-20'
specificationVersion: '0.23'
apis:
  - aid: amazon-augmented-ai:amazon-augmented-ai-human-loops-api
    name: Amazon Augmented AI Human Loops API
    description: Operations for creating and managing human review loops
    humanURL: https://docs.aws.amazon.com/augmented-ai/2019-11-07/APIReference/Welcome.html
    baseURL: https://a2i-runtime.sagemaker.us-east-1.amazonaws.com
    tags:
      - Human Loops
    properties:
      - type: OpenAPI
        url: openapi/amazon-augmented-ai-human-loops-api-openapi.yml
      - type: SpectralRules
        url: >-
          https://raw.githubusercontent.com/api-evangelist/amazon-augmented-ai/refs/heads/main/rules/amazon-augmented-ai-spectral-rules.yml
      - type: Vocabulary
        url: >-
          https://raw.githubusercontent.com/api-evangelist/amazon-augmented-ai/refs/heads/main/vocabulary/amazon-augmented-ai-vocabulary.yaml
      - type: JSONSchema
        url: >-
          https://raw.githubusercontent.com/api-evangelist/amazon-augmented-ai/refs/heads/main/json-schema/a2i-human-loop-summary-schema.json
      - type: JSONSchema
        url: >-
          https://raw.githubusercontent.com/api-evangelist/amazon-augmented-ai/refs/heads/main/json-schema/a2i-start-human-loop-request-schema.json
      - type: JSONStructure
        url: >-
          https://raw.githubusercontent.com/api-evangelist/amazon-augmented-ai/refs/heads/main/json-structure/a2i-human-loop-summary-structure.json
      - type: JSONStructure
        url: >-
          https://raw.githubusercontent.com/api-evangelist/amazon-augmented-ai/refs/heads/main/json-structure/a2i-describe-human-loop-response-structure.json
      - type: JSONLD
        url: >-
          https://raw.githubusercontent.com/api-evangelist/amazon-augmented-ai/refs/heads/main/json-ld/amazon-augmented-ai-context.jsonld
      - type: Example
        url: >-
          https://raw.githubusercontent.com/api-evangelist/amazon-augmented-ai/refs/heads/main/examples/a2i-start-human-loop-request-example.json
      - type: Example
        url: >-
          https://raw.githubusercontent.com/api-evangelist/amazon-augmented-ai/refs/heads/main/examples/a2i-describe-human-loop-response-example.json
      - type: ErrorCatalog
        url: errors/amazon-augmented-ai-problem-types.yml
      - type: Conformance
        url: conformance/amazon-augmented-ai-conformance.yml
      - type: Lifecycle
        url: lifecycle/amazon-augmented-ai-lifecycle.yml
common:
  - type: MCPServer
    url: mcp/amazon-augmented-ai-mcp.yml
  - type: Overlay
    url: overlays/amazon-augmented-ai-openapi-overlay.yaml
  - type: AgenticAccess
    url: agentic-access/amazon-augmented-ai-agentic-access.yml
  - type: VulnerabilityDisclosure
    url: security/amazon-augmented-ai-vulnerability-disclosure.yml
  - type: DomainSecurity
    url: security/amazon-augmented-ai-domain-security.yml
  - type: Authentication
    url: authentication/amazon-augmented-ai-authentication.yml
  - type: Packages
    url: packages/amazon-augmented-ai-packages.yml
  - type: LLMsTxt
    url: llms/amazon-augmented-ai-llms.txt
  - type: WellKnown
    url: well-known/amazon-augmented-ai-well-known.yml
  - type: Features
    data:
      - Human review integration for Amazon Rekognition and Amazon Textract
      - Custom flow definitions for any ML use case
      - Built-in worker task templates for common review tasks
      - Integration with Amazon SageMaker Ground Truth for workforce management
      - Private, vendor, and Amazon Mechanical Turk workforce support
      - Automatic routing based on ML confidence scores
      - Audit trail with evidence of human review decisions
      - Scalable workforce management across thousands of reviewers
      - Pre-built UI templates for image and text review tasks
      - Compliance support with PII content classifiers
  - type: UseCases
    data:
      - Review low-confidence document text extraction results
      - Validate image classification predictions before deployment
      - Moderate user-generated content with human reviewers
      - Ensure accuracy of medical record processing
      - Verify identity document data extraction results
      - Build training datasets with human-verified labels
  - type: Integrations
    data:
      - Amazon SageMaker
      - Amazon Rekognition
      - Amazon Textract
      - Amazon S3
      - Amazon SageMaker Ground Truth
      - Amazon Mechanical Turk
      - AWS IAM
      - Amazon CloudWatch
      - AWS Lambda
      - Amazon SNS
maintainers:
  - FN: Kin Lane
    email: kin@apievangelist.com