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Internal enabler

As explained in The Art of AI Product Development

An internal enabler is a capability that improves an organization's internal product processes or operations without necessarily adding a visible user-facing feature.

An internal enabler is an AI capability used to improve how an organization builds or operates digital products, without necessarily adding a visible user-facing feature. It represents one scenario for AI integration and requires choices distinct from those for product add-ons or new AI-native ventures. section 2.1.4

Treat internal enablement as a strategic product decision:

  • Match design, development, and resource allocation to the internal-enablement context rather than copying approaches from other AI scenarios. section 2.1.4
  • Use the capability to identify opportunities, manage risks, and guide AI initiatives across different digital products. section 2.1.4

How The Art of AI Product Development covers it

How deep it goes
Distinguishes internal enablement as an AI-integration scenario and links it to design, development, and resource allocation.
Examples
Uses the scenario of specializing in AI to enable a range of digital products, without detailing a specific implementation.
What you can do after
Evaluate AI-integration scenarios and guide opportunity, risk, design, development, and resource-allocation decisions.
How it connects
Connects internal enablement with AI integration, digital products, product development, resource allocation, opportunity identification, and risk management.
Cover of The Art of AI Product Development
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Related concepts

This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.