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.

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.

Can AI really cut hours of note-taking in UX research? I tested the KomeAI YouTube Transcript Generator to see if it could turn long user interviews into instant transcripts.

Edge cases can derail even the best UX flows... usually at the worst possible time. Instead of waiting for QA or stakeholders to flag issues, you can use AI mid-sprint to brainstorm “what could go wrong” scenarios and pressure-test your designs. In this post, I’ll share how a simple chat prompt can help catch blockers early, sharpen flow logic, and build stakeholder trust.

Wireframes are great for showing structure but they rarely tell the story. Learn how to pair wireframes with AI-generated storytelling scripts that bring the user journey to life, keep kickoffs human-centered, and save hours of prep time.

AI is transforming enterprise UX... but you don’t need to be an expert to keep up. What matters is adopting an explorer’s mindset. In this post, we unpack two types of AI explorers shaping UX in large organizations: AI trailblazers, and skeptical cartographers.

When AI is treated like a task-runner, you’ll get generic, misaligned output. But when you prompt with context, structure, constraints, and clarity... you set your AI intern up for success.