Amazon Augmented AI (A2I)
Human review loops for low-confidence machine learning predictions.
- Provider
- aws
- Kind
- Workflow engine
- Category
- Compute
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| compensation | boolean | — | no | false | inherited |
| customerManagedKey | boolean | — | no | false | inherited |
| durable | boolean | — | no | true | ▸ true |
| humanReview | boolean | — | no | false | ▸ true |
| integrationSource | enum | rekognition | textract | custom | no | — | inherited |
| managed | boolean | — | no | false | ▸ true |
| pattern | enum | saga | tcc | two-phase-commit | dag | no | dag | inherited |
| stepsIdempotent | boolean | — | no | false | inherited |
| taskTimeLimitSeconds | integer | — | no | 3600 | inherited |
| tasksPerObject | integer | — | no | — | inherited |
| workforceType | enum | private | vendor | public | no | — | inherited |
Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.
stateful-node-without-zone-redundancy
A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.
- — all of these hold:
- — the node's `stateless` is false
- — the node sits inside exactly 1 availability-zone group
- — this does not hold:
- — the node sits inside at least one cell group
nodes:
- { id: "augmented-ai", component: "aws-augmented-ai" }CloudFlowalibaba-cloudflowCloudOps Orchestration Servicealibaba-oosAmazon Managed Workflows for Apache Airflowaws-mwaaAWS Systems Manager Incident Manager and Change Manageraws-ssm-incident-and-change-managerAWS Step Functionsaws-step-functionsAmazon Simple Workflow Serviceaws-swfAzure Durable Functionsazure-durable-functionsAzure Logic Appsazure-logic-appsCloudflare Workflowscloudflare-workflowsApache AirflowairflowArgo Workflowsargo-workflowsAstronomer AstroastronomerCadencecadenceCamunda 8camundaConductorconductorDagsterdagsterDigdagdigdagFlowableflowableInngestinngestjBPMjbpmKestrakestraLuigiluigin8nn8nNode-REDnode-redPrefectprefectPrefect Cloudprefect-cloudRestaterestateTemporaltemporalTemporal Cloudtemporal-cloudTrigger.devtrigger-devWindmillwindmillWorkatoworkatoGeneric workflow engineworkflow-engineZapierzapierApplication Integrationgoogle-application-integrationCloud Composer (Managed Service for Apache Airflow)google-cloud-composerWorkflowsgoogle-cloud-workflowsOrchestration Pipelinesgoogle-orchestration-pipelinesIBM App Connectibm-app-connectOracle Integration 3oci-integration
and 4 more → Workflow engine page# yaml-language-server: $schema=../../schema/component.schema.json # Amazon Augmented AI (A2I): human review loops that route low-confidence model predictions to a # workteam and write the reviewed results to S3. In maintenance since 30 June 2026 (SageMaker AI - A2I # availability change). Per the HumanLoopConfig API Reference a worker has 3,600 seconds (1 hour) to # complete a task by default, and TaskCount (1-3 workers per object) must be stated explicitly. schemaVersion: "1" type: "component" id: "aws-augmented-ai" kind: "workflow-engine" provider: "aws" docs: "https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HumanLoopConfig.html" aliases: ["A2I"] defaults: managed: true humanReview: true durable: true properties: workforceType: type: "enum" values: ["private", "vendor", "public"] taskTimeLimitSeconds: type: "integer" default: 3600 tasksPerObject: type: "integer" integrationSource: type: "enum" values: ["rekognition", "textract", "custom"] customerManagedKey: type: "boolean" default: false