AI-Accelerated Product Visioning

Introduced AI as a force multiplier for design, not a replacement.

As Auris began exploring the future of its product experience, there was a growing need to move quickly from abstract ideas to tangible concepts that leadership could evaluate and align around.

Traditional design workflows were not fast enough to support the pace and ambiguity of these conversations. I saw an opportunity to integrate AI into the design process in a way that would accelerate thinking without sacrificing quality or intention.

I led a series of AI-assisted design explorations focused on reimagining key product areas, including payroll, people management, onboarding, and system navigation. These efforts combined rapid prototyping, concept generation, and structured synthesis to create clear, compelling representations of future-state experiences.

Using AI tools, I was able to quickly iterate on interface directions, generate early design systems concepts, and support the creation of narrative-driven prototypes that helped translate complex ideas into something concrete and understandable.

However, the value of this work was not just speed. It was about improving the quality of conversations. By bringing more developed concepts into early discussions, teams were able to align faster, ask better questions, and make more informed decisions.

I approached AI as a collaborator rather than a replacement. The role of design leadership remained critical in shaping direction, refining outputs, and ensuring that what was being created aligned with both user needs and business goals.

This work demonstrated how AI can meaningfully enhance product design workflows, helping teams move from ambiguity to clarity in a fraction of the time, while still maintaining a strong human-centered perspective.

Project Overview

Leadership needed to see future-state product possibilities quickly across payroll, people, onboarding, and operations experiences.

The challenge

Design strategist, AI workflow lead, concept director.

> Created AI-assisted prototypes
> Explored Nova design system site concepts
> Generated future-state UX directions
> Synthesized product opportunities
> Translated ideas into executive-ready visuals and narratives

My role + What I LED

Used AI-assisted workflows to accelerate documentation, component audits, design system site concepts, and prototype exploration.

Impact: 

• Reduced concept-to-prototype time from weeks to days
• Increased speed of iteration across product directions by 2 to 3 times
• Enabled more design exploration without increasing team bandwidth
• Improved early-stage alignment, reducing late-stage redesign risk
• Delivered multiple future-state concepts in parallel for leadership evaluation

AI PHILOSOPHY + BUSINESS IMPACT

Next Up

A Continuous Discovery Model

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