AI product strategy: key steps, examples, and best practices

Creating an effective AI product strategy is crucial for product managers, as it enables them to leverage artificial intelligence to improve customer experience, gain competitive differentiation, and drive revenue growth. An AI product strategy is a comprehensive plan that outlines how to use AI in a product, including preparing data, selecting models, integrating with third-party applications, and deploying AI functionality. To build a strong AI product strategy, product managers should define the problem AI should solve, assess data requirements, choose the right AI model, plan for user experience and adoption, bake security into the AI feature, and roll out the feature slowly through pilot, beta, and general availability tests. Additionally, product managers should let customers lead the way, become fluent in AI, leverage AI at every phase of product development, and use a unified API solution to support integrations, ultimately leading to the creation of best-in-class AI features that benefit customers.

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