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

#ProductBakar #AI #ProductManagement #Prioritization #Roadmapping #TechLeadership #ArtificialIntelligence #ProductStrategy