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Overview — AI Product Deployment Specification (AIPDS)

The AI Product Deployment Specification (AIPDS) defines how an AI Product is deployed, served, monitored, and evolved in a self-service and governed manner.

It complements the AI Product Semantic Specification (AIPROD), which describes what an AI Product is.
Together, they ensure AI Products are both semantically clear and operationally reliable.

Purpose of AIPDS​

AI Products are not static artifacts — they are living systems that must run reliably in diverse environments.
AIPDS provides a structured way to describe:

  • Deployment targets (cloud, on-prem, edge, agent runtime).
  • Interfaces and packaging for consumption.
  • Inference serving and scaling requirements.
  • Monitoring and observability of performance, drift, and fairness.
  • Retraining and continuous learning lifecycles.
  • Security and access controls.
  • Governance, compliance, and risk enforcement.
  • Economic and resource consumption models.
  • Composability and integration with other products.
  • Versioning and lifecycle management.

Relationship to AIPROD​

  • AIPROD = describes the semantics of an AI Product (identity, ownership, purpose, capability type, risk, prohibited uses, metadata).
  • AIPDS = describes the deployment of an AI Product (how it runs, scales, evolves, and is governed operationally).

Both are required for an AI Product to be treated as a first-class citizen in enterprise and ecosystem architectures.

Principles of AIPDS​

  1. Self-Service Deployment
    Consumers should be able to deploy or access an AI Product without bespoke engineering effort.

  2. Operational Trustworthiness
    Deployment must include monitoring, observability, and governance hooks to ensure safe operation.

  3. Evolvability
    Drift, retraining, and versioning must be accounted for, not left as afterthoughts.

  4. Integration & Composability
    AI Products should be deployable in workflows, pipelines, and agent ecosystems.

Scope of AIPDS​

The following sections describe the key elements of AI Product deployment:

Summary​

  • AIPDS = how an AI Product operates.
  • It ensures deployment is governed, observable, and self-service.
  • Combined with AIPROD, it creates a complete lifecycle view: what the product is and how it is deployed.