slug: amazon-bedrock
provider: Amazon Bedrock
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: Model Customization
  spec_file: amazon-bedrock-model-customization-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /model-customization-jobs  CreateModelCustomizationJob  Amazon Bedrock Create a model
    customization job
  reason: Fine-tuning/customization jobs are squarely AI/ML model lifecycle (training) management.
- tag: Converse
  spec_file: amazon-bedrock-converse-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: '"Amazon Bedrock Converse with a model"; "operations for invoking foundation models and running
    inference"'
  reason: Runtime inference against foundation models is AI/ML capability delivery (AI model lifecycle
    / MLOps). It is a technical AI service, best placed under Artificial Intelligence Management.
- tag: Custom Models
  spec_file: amazon-bedrock-custom-models-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: GET /custom-models  ListCustomModels  Amazon Bedrock List custom models
  reason: Operations enumerate customized machine-learning models in the AI platform, which is AI/ML model
    lifecycle management under Information & Data Management.
- tag: Foundation Models
  spec_file: amazon-bedrock-foundation-models-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: GetFoundationModel  Amazon Bedrock Get foundation model details
  reason: Cataloguing and inspecting available foundation models is part of AI/ML model lifecycle management,
    not a generic IT or business capability.
- tag: Inference
  spec_file: amazon-bedrock-inference-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /model/{modelId}/invoke  InvokeModel  Amazon Bedrock Invoke a model
  reason: Runtime invocation of foundation models for generative AI is AI model operation (MLOps/AI management);
    no other candidate capability fits model inference.