Mobility AI
Case Study 04
Overview
Mobility AI focuses on embedding intelligence directly into the in-vehicle experience, allowing assistance to surface naturally without breaking flow or control.
Role
Design lead for the Mobility AI interaction model. Defined how AI surfaces, escalates, and hands off information. Established rules for timing, confidence, and intervention. Partnered with engineering, product, and data teams.
System / Work
The system supports two interaction models. First, AI delivers content through dynamic cards and persistent widgets during high-confidence moments. Second, when deeper interaction is required, AI hands off to system or third-party applications to handle complex workflows.
AI intervention is governed by golden moments—brief windows where confidence is high that assistance will be useful, welcome, and safe—identified through environmental, system, behavioral, and intent signals. Criticality levels determine how prominently AI intervenes, preserving control and reversibility.
Outcome
Established a clear interaction model for embedded AI. Enabled timely assistance without distraction. Created reliable handoff patterns between AI and applications. Preserved trust through restraint and predictability.