slug: azure-document-intelligence
provider: Azure AI Document Intelligence
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Software & Technology
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 5
edges:
- tag: Document Classifiers
  spec_file: azure-document-intelligence-document-classifiers-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: GET /documentClassifiers/{classifierId}  DocumentClassifiers_GetClassifier; POST /documentClassifiers/{classifierId}:analyze  DocumentClassifiers_ClassifyDocumentFromStream
  reason: Operations manage the lifecycle of trained document-classification models (list, get, delete,
    copy) and run inference against them — AI/ML model lifecycle management.
- tag: Document Classifiers:build
  spec_file: azure-document-intelligence-document-classifiers-build-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /documentClassifiers:build  DocumentClassifiers_BuildClassifier  Document classifiers
    build classifier
  reason: Training/building a custom document classifier from a labelled blob source is ML model creation,
    i.e. AI/ML model lifecycle management.
- tag: Document Models
  spec_file: azure-document-intelligence-document-models-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: GET /documentModels  DocumentModels_ListModels; POST /documentModels/{modelId}:analyze  DocumentModels_AnalyzeDocumentFromStream;
    schema DocumentModelDetails
  reason: Surface manages trained extraction models and executes inference (analyze, batch analyze, results)
    — AI/ML model lifecycle and operation.
- tag: Document Models:build
  spec_file: azure-document-intelligence-document-models-build-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /documentModels:build  DocumentModels_BuildModel; schema BuildDocumentModelRequest, DocumentBuildMode
  reason: Building a custom document extraction model from training data is ML model creation — AI management.
- tag: Document Models:compose
  spec_file: azure-document-intelligence-document-models-compose-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: POST /documentModels:compose  DocumentModels_ComposeModel; schema ComposeDocumentModelRequest
  reason: Composing multiple trained document models into one is model lifecycle management within an
    AI service.