MUXA Design Studio
MUXA Design Studio
AI features only get used when people trust them. We design what happens around the model: what it shows, how it cites its sources, what it does when it's wrong, and where a person reviews or overrides it.
Any AI feature looks good in a demo. Real use is full of half-right answers, missing context and slow responses. We design for those moments first: clear labels on what the AI touched, a source behind every suggestion, and a person who can accept, edit or reject before anything counts.
That's how clinicians at Marker Learning came to trust AI suggestions in their reports: they can check the source in one click.
The parts of an AI product that decide whether people adopt it.
Citations, confidence and reasoning people can check, so an answer comes with a reason to believe it.
Accept, edit and reject flows. The AI suggests, a person decides, and nothing is inserted without their say.
Clear labels on what the AI changed and who approved it, so the record holds up in a compliance review.
Shared spaces where teams work with AI together, with history, real starting points instead of a blank chat box, and a safe place for draft thinking.
Summaries, scores and clusters that analysts can open up and inspect instead of taking on faith.
What people see when the model is slow, unsure or wrong, and how they recover.
We learn the work, the people doing it and what the model can and can't do, and we talk to your ML and engineering teams early.
Together we decide where AI helps, where it stays out of the way, and where a person has to sign off.
We prototype with realistic AI output, including the wrong answers, and test it with your users.
We pair with your engineers until it's live, with real components and tokens, not just a Figma file.
Most of these were multi-month engagements with the same senior team from kickoff to ship.
A compliant AI editor for government procurement and grants, with every AI edit labeled and cited. Trust figure from prototype testing.
AI suggestions anchored to their source documents, so clinicians accept them because they can verify them. The redesign helped Marker hit a critical launch deadline.
One shared AI workspace in place of scattered chat tools, for marketing teams whose every claim needs review. Figure from an internal pilot.
Narrative intelligence where AI-built clusters can be opened up and explored, without breaking the workflows analysts rely on.
“MUXA Design Studio's great attitude and high-quality designs were impressive.”
Not ready for a project this size? Start with a two-week UX audit of your AI feature: how it earns trust, where people drop off and what to fix first.
See what's in the audit →No. We design the product around them: what people see, control and trust. We work closely with your ML and engineering teams on what the model can expose, such as sources or confidence.
Yes. For some of our clients the AI is their own IP. We design the interaction layer around whatever model you run, off the shelf or proprietary.
By making it checkable. Suggestions link to their sources, AI changes are labeled, a person accepts or rejects before anything counts, and the product behaves well when the model is wrong.
Yes, heavily, for exploration, design system upkeep and content. Every design decision is still made by a senior designer.
Book a 15-minute intro call, or start with a UX audit of your AI feature from $5,000. If you're stuck on one problem, the 30-minute brainstorm is free.
Two easy ways to start. We'll tell you on the call if we're not the right fit.
Fifteen minutes to meet, see how we work, and decide if it's a fit on both sides. No deck.
Book an intro call →Bring a UX or product-strategy problem you're stuck on. Thirty minutes of human brains, no pitch.
Schedule a brainstorm →