Leading design direction for ANS’s AI
powered desktop app.

Project Overview
ANS is a sustainable energy engineering firm where multidisciplinary teams — electrical, structural, civil — do technically rigorous work that leaves little room for inefficiency. The opportunity was clear: reduce the volume of repetitive, low-complexity work eating into billable hours and give engineers a faster path to delivering on client requirements. As the sole designer working against a 1:6 ratio with full-stack engineers and an aggressive timeline, I focused less on designing screens and more on designing infrastructure — a clear navigation architecture and a reusable pattern library that let the team build consistently without me in the room for every decision. The result was a platform that shipped with intuitive navigation and scalability built in from the start, earning a response from our CTO that said everything from the UX to the code was amazing.
Outcomes
Achieved an 83% ease-of-use rating in a post-beta user survey — a strong signal for a technically complex AI tool built for solar engineers.
Built ANS's first pattern library using AI tooling, accelerating the initial frontend build by 1–2 weeks and establishing a shared visual foundation for the engineering team.
Led design for ANS's first AI platform — a 0→1 product built to eliminate toil for solar engineers, giving them back time previously lost to repetitive, manual engineering tasks.
FAQ
How did you manage design quality across a 1:6 design to engineer ratio
What was your biggest constraint and how did you work around it?
How did you adapt your workflow when the engineering team started using AI in their build process?
What would you do differently if given more time?
fin.
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