BLOG: FUTURE OF UX & AI 

AI can’t replace real users but it can accelerate the early stages of UX research. In Part 1A of the Mentoring AI series, learn how to guide AI from raw interview transcripts to clustered insights. Discover how thoughtful prompting and design leadership turn AI into a research intern... speeding up synthesis while keeping human nuance at the center.

English-friendly designs often break when translated. With AI, you can preview multilingual text expansion mid-sprint, catch layout issues early, and build global-ready UX before handoff.

Prompting isn’t a side skill... it’s design in a new language. In enterprise UX, prompts act like interfaces: shaping intent, guiding outputs, and demanding clarity. This post explores why prompting is central to AI-era UX and how teams can adapt with shared libraries, governance, and a new design fluency.

Most problem statements in enterprise UX are framed only one way... and that creates blind spots. In this Ready, Set, UX! post, discover how AI can reframe a single problem statement through user, tech, and business lenses to save time, surface hidden insights, and align stakeholders from the start.

AI won’t give you enterprise-ready critique unless you prompt it like a design lead. In this post, I show how a generic prompt led to fluffy feedback and how reframing with a task, role, context, constraints, and format transformed AI into a real critique partner. Think of it as mentoring a junior designer: guide the process, and the output levels up.