Proposing AI Platform as a Product

How to prepare a proposal for an AI platform product in an enterprise organization through customer and stakeholder research.

AI Platforms, preferably offered as self-service products, are essential for the successful rollout of the AI vision of an enterprise organization. The delivery of such a product requires a solid, exciting proposal as a document. In this article, we cover a high-level framework on how to produce such a document. Such a document requires a good understanding of the product lifecycle as well as mechanisms to do research with the teams/community and stakeholders in the AI ecosystem.

The main idea is to identify what is the phase of the AI product and then how to perform research within the target groups in the enterprise’s AI ecosystem.

Like any other product, AI platform products in an enterprise organization have five phases as depicted in Figure 1.

• Begining: In this phase, an AI platform product is in uncharted territory. The platform product team needs to work with a lot of assumptions. The way to validate the assumptions is by analyzing assumptions, prototyping rapidly, and testing the prototypes. Successful validations define features that go to the scope of the product. The ultimate outcome of this phase is a minimum viable platform product that is liked and used by a small set of high-impact AI teams. Guaranteeing such a successful outcome has both high…