AI and Product
Management

Mental models for managing AI-driven products

Core principles for traditional tech products
vs. AI-driven products

Value creation Risks Metrics Features UX Decision logic Releases

	Traditional Tech Products		AI-driven products
Product Focus	Feature output + outcomes	⟶	Data quality + Context Awareness
User experience	Command-based (How to do it)	⟶	Intention-based (What I want)
Decision logic	Deterministic	⟶	Probabilistic
Release cycles	Version-based + Releases	⟶	Continuous evolution
Risks	Functional, user acceptance	⟶	Ethics, Biases, Fairness
Value creation	Linear / based on throughput	⟶	Likely to be exponential

Source: www.cesarrg.com

Core principles changes for delivering experience to customers.
Building customer trust as the foundation for design new applications.
Continuous value delivery requires new mindset and mechanisms (MLP design, testing and feedback).

Check out more ideas like this at cesarrg.com

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