AI product design for teams shipping real AI features
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The work before
Phoenux designs AI features the same way it designs anything else: real states, failure modes, and recovery paths, not a chat window bolted onto the homepage.
The work before
The ten percent your model gets wrong is a design problem
A model that's right ninety percent of the time is still a product with a failure mode. Most AI features are designed as if the successful path were the only one, and trust erodes on the first bad answer.
There's a second problem underneath it. AI features get added to products that already confuse people, and the confusion compounds.
The work before
What's included
Conversational AI
Assistants that live inside real workflows, where the user already is, rather than in a chat panel they have to remember exists.
What we do
- — Agentic Workflow UX
- — AI-native Design System
- — Web Design & UX
- — UX Audit + AI Readiness
- — Rapid MVP & Development
- — Legacy UX Modernization
- — Product & Interface Design
- — Design System
- — Conversational AI
Agentic workflow UX
Designing for actions taken on the user's behalf: what they can see, what they can stop, and what happens when the agent gets it wrong.
What we do
- — Strategy & Positioning
- — Research & Discovery
- — Content Design & UX Writing
AI-native design systems
Components and patterns built for output that varies — confidence states, sources, partial results, and regeneration.
What we do
- — Search Engine Optimization (SEO)
- — Answer Engine Optimization (AEO)
- — Generative Engine Optimization (GEO)
- — Conversion Optimization
UX Audit + AI Readiness
A straight answer on whether your product can carry AI features without breaking user trust, and a ranked plan for what to fix first.
What we do
- — Search Engine Optimization (SEO)
- — Answer Engine Optimization (AEO)
- — Generative Engine Optimization (GEO)
- — Conversion Optimization
In practice
What creation looks like in the wild
Real product surfaces from recent work. Full stories live in the portfolio.
Foodics
Restaurant tech
Sendoso
Corporate Gifting & B2B Engagement Platform
Unlayer
Embeddable email & document builder
LifeScript
Storytelling brand & UX
Akbar Khan Hospital
Healthcare UX & service
What you get
An AI experience designed to handle real-world uncertainty, recover gracefully, and ship with confidence.
The AI experience designed across its real states, including low confidence and failure
Recovery paths, so a wrong answer costs a click instead of a customer
Components built for variable output, not fixed content
A readiness verdict before you commit engineering time
An honest recommendation when an AI feature isn't the answer
Frequently asked questions
Can Phoenux design AI features for our product?+
Yes. Phoenux designs conversational AI, agentic workflows, and AI-native design systems, and runs a UX Audit + AI Readiness assessment that tells you whether your product can carry AI features without eroding trust. The work covers failure modes and recovery paths, not just the path where everything goes right.
What is AI readiness, and why would we need it audited?+
AI readiness is whether your existing product can absorb an AI feature without making it worse. Phoenux audits the interface people already find confusing, because adding probabilistic output on top of an unclear product compounds the confusion rather than solving it.
What's different about designing for agents versus a chatbot?+
A chatbot answers; an agent acts. Phoenux designs agentic workflows around visibility and reversibility — what the user can see before an action runs, what they can interrupt, and how they recover when the agent does the wrong thing on their behalf.
What's slowing your product down? Book a project call
Tell us whether you're building or fixing, the journey that pays the bills, and what "better" means in a metric you already track. You'll get back a scope, a duration, and a cut list. Or an honest no.