UI/UX design for AI products.
UI/UX design for AI products people trust: clear sources, easy correction, honest loading states, accessible by default. We design with engineers in the room from day one.
Design + engineering, in the same room
AI features fail on trust more often than on accuracy. When designers and engineers ship together, users see where answers come from, can fix them fast, and keep using the feature.
What our UI/UX team delivers
Product design for AI-first software and the platforms around it. Patterns for streaming answers, citations, confidence and human review, built into a real design system.
- ✓AI interaction patterns: chat, copilots, agents
- ✓Trust UX: citations, confidence, undo and review
- ✓Product & brand design
- ✓Design systems & tokens
- ✓Component library + Storybook
- ✓Prototyping & usability testing
- ✓Accessibility audits (WCAG 2.2 AA)
- ✓Motion & micro-interactions
- ✓Visual identity & brand guidelines
- ✓Design ops & team enablement
Design systems that outlast handoff
Tokens, components and documented decisions, so the system still holds when your third designer joins.
Research
User interviews, analytics review, and a written hypothesis we agree on before design starts.
Design
Wireframes, visual design and prototypes, with engineers pairing at every step. No Figma-to-code wall.
Test
Usability tests with real users on real devices, including real model output, not lorem ipsum.
Ship
Component handoff, engineering pairing and QA review. Designers stay on until the feature ships.
Three ways into UI/UX design for AI
Cost depends on the number of product surfaces, research depth, and whether you need a full design system. An audit is the fastest way to find the fixes that matter.
Design audit
A heuristic and accessibility audit of your product, AI features included, with prioritized fixes.
- Heuristic review
- Accessibility audit
- Prioritized backlog
- Annotated screens
- Walkthrough call
Product redesign
A focused redesign of one or more product surfaces with implementation handoff.
- Research synthesis
- Wireframes + visual
- Component handoff
- Eng pairing
- QA review
Design system
Tokens, components, documentation and a Storybook implementation, paired with engineering.
- Token system
- Component library
- Storybook
- Engineering integration
- Team training
AI product design, answered
What does UI/UX design for an AI product cost?
It depends on how many product surfaces are in scope, how much user research you need, and whether the work includes a design system and Storybook implementation. A design audit gives you a prioritized backlog to scope the rest against.
What makes designing AI products different?
AI output can be wrong, slow or uncertain. Good AI UX shows where answers come from, signals confidence, streams results honestly, and makes correction and undo easy. We test those patterns with real model output, not lorem ipsum.
Do your designers work with our engineers?
Yes, from day one. Engineers pair with designers at every step, handoff happens through components rather than static files, and designers stay on until the feature ships.
Do you design for accessibility?
Yes. We audit against WCAG 2.2 AA and build accessible patterns into the component library, so new screens start from accessible components instead of being fixed later.
Not sure which engagement fits? Tell us what you’re building and we’ll reply within one business day with a recommended starting point.
Often paired with AI product design
Most engagements blend two or three disciplines. These are the most common pairings.
AI integration
LLM apps, AI agents and RAG systems built into your product, with evals, guardrails and cost controls from day one.
Custom web apps
Fast, AI-ready web applications in React and Next.js, built to scale with traffic, data and your team.
AI-powered mobile apps
iOS and Android apps with AI features built in, from on-device ML to LLM-powered assistants.
Trust UX matters most where AI decisions carry weight, as in healthcare AI solutions and SaaS and B2B AI solutions. See the human-in-the-loop review flow in our prior-auth AI case study, and read our AI engineering insights on shipping LLM features.
Ready to design AI people trust?
We respond within one business day, with a real human and a real opinion.