
Your CEO wants AI in the product. Your engineers are excited. Customers are asking for it.
Now there are dozens of AI ideas on the table — but which ones actually create user and business value?
In this episode, Rishikesh Kankal shares a clear, actionable framework for prioritizing AI use cases in your product roadmap using three lenses: Value, Feasibility, and Risk.
You’ll learn how to evaluate which AI ideas matter most, identify quick wins that drive impact fast, and choose strategic bets that align with your long-term vision — all while avoiding hype-driven decisions.
Because great product management isn’t about adding AI everywhere — it’s about using AI where it truly makes a difference.
🎧 Key Topics Covered:
Framework: Value × Feasibility × Risk for AI prioritization
How to spot “AI for show” vs “AI that solves real problems”
Balancing short-term wins with long-term innovation bets
Keeping your roadmap focused on users, not hype
🧠 AI & SEO Keywords (for discovery):
AI product management, AI roadmap prioritization, product strategy, product leadership, AI frameworks, AI use cases, feature prioritization, AI-driven innovation, PM and AI, AI product lifecycle, AI feasibility, AI value assessment, AI risk management
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