Over the past year, Zoox has invested in integrating Large Language Models (LLMs) into the entire developer lifecycle through a companywide initiative called Zoox Intelligence (ZI). This session covers how the team approached this transformation by mapping the real developer journey, building a flexible AI platform, and delivering applications across information discovery, personal productivity, software development, and customer support.

The talk explains how the platform was designed, how models were selected, and how it supports every part of the developer lifecycle. This includes faster information discovery, smoother onboarding, improved personal productivity, better code creation and review, and stronger customer support. It also highlights platform capabilities such as Tools and the Agents as API pattern, which allows teams to run custom agents with simple APIs rather than full deployments. These same foundations also power workflows unique to autonomous vehicle development, such as triaging events from the autonomy fleet and preparing for future customers.

A central focus of the session is the blueprint Zoox used to accelerate AI adoption across the company. This includes platform principles, application strategy, evangelism methods, and organizational patterns that help AI leads drive meaningful impact.

Whether an organization is early in its AI journey or scaling an internal platform, attendees will leave with a practical playbook they can bring back to their teams.