AI Product Portfolio
The AI product portfolio describes which internal AI capabilities the company has, how they evolve, and which products are used to implement AI initiatives.
The core idea of this section: the company should not create a separate AI solution for every new case. Instead, it develops reusable AI products: platform products and applied AI services that can be used across different business scenarios.
This section describes the core elements of the product management layer.
Roles
Who owns the AI product portfolio, individual products, technical evolution, pilots, business scenarios, and support.
AI products
What counts as an AI product, how platform products differ from applied AI services, and how they connect to initiatives.
AI product lifecycle
How a product moves from idea and pilot to adoption, scaling, evolution, or removal from the portfolio.
AI product owners
Why every product needs an accountable owner and how this role differs from an AI initiative lead.
Delivery track
Why different AI product types require different implementation paths, artifacts, approvals, and participants.
Rituals
How to regularly manage the product portfolio: review products, connect them to initiatives, prioritize development, and track pilots and adoption.
Product portfolio goal
The goal of the AI product portfolio is to turn the company's AI landscape from a set of scattered tools and pilots into a managed system of reusable capabilities.