The product teams getting real traction with generative AI this year aren’t the ones bolting a chatbot onto an existing product - they’re the ones asking which specific, painful, repetitive task in their user’s workflow an LLM can quietly remove.
That reframing changes the roadmap conversation: instead of "where do we add AI," the question becomes "which feature can now be 10x faster or require zero manual input." Teams that keep that user-value lens, and treat model output as a draft a human can override rather than a final answer, are the ones shipping AI features that actually retain usage past the novelty phase.
