Design, Develop, and Evaluate AI-Native Product Ecosystems: The SHIP Interaction Intelligence Framework

AI-native products behave differently from traditional software. They adapt, vary, and respond to context, requiring teams to rethink how they design, develop, and evaluate quality. Linear flows break, predictability erodes, and quality must be evaluated across system behavior over time rather than single interactions.

The SHIP Interaction Intelligence Framework, developed through Bianca Work’s work at Indeed, Splunk, and Alvio, provides a practical structure for shipping and scaling AI-native product ecosystems. SHIP helps cross-functional teams assess four critical areas: system behavior, human expectations, interaction design, and product instrumentation as products evolve.

This session examines how non-deterministic behavior appears in real products, where confidence breaks down, and how failure modes and drift should be designed for and monitored. Attendees will leave with a shared, actionable understanding for designing, developing, and evaluating AI experiences and shipping systems that remain trustworthy, reliable, and resilient over time.