Make AI simple, useful, and invisible to users
We design AI products people use every day AI SaaS, agents, search, workflow tools and consumer apps. UX for trust, prompt design, output design, and the patterns that turn a model into a product. Trusted by AI teams across 36+ countries.
Top partners that we worked with.
Most AI products force users to learn how to talk to a model
A blank text box, a blinking cursor, and the implicit message: "you figure it out." Most users don't. They try one prompt, get a mediocre answer, and never come back. The model isn't broken the UX is.
Across most consumer AI apps, fewer than 1 in 3 users return after their first session. The fix isn't a better model it's an interface that suggests, scaffolds, and shows the user what good looks like.
Smart defaults, suggested actions, and contextual chips beat a blank input every time. The product should know what to do the user shouldn't have to ask perfectly.
Citations, confidence levels, source links, and "why this answer" patterns build trust the moment the model gets something almost right.
Models hallucinate. Great AI UX assumes that and designs the recovery quick correction, alternate outputs, and undo built in from the start.
of downloaded apps are abandoned within 3 days of install, not because the idea was wrong, but because the experience didn't make the value obvious fast enough.
AI Products that go beyond the chat box
Most agencies stop at a clean text input and a streaming output. Our studio designs the whole AI surface input scaffolds, output formats, citations, trust signals, fallbacks, undo, and the patterns that make AI feel like a product instead of a demo.
Suggested prompts, smart defaults, structured inputs, and progressive disclosure designed so users get good output without writing perfect prompts.
Streaming text, tables, charts, code blocks, citations, and structured responses designed to be scannable, editable, and trustworthy.
Source citations, confidence cues, and "why this answer" panels build trust even when the model is unsure.
Hallucination fixes, retries, alternate outputs, undo, and "this isn't right" patterns prevent user loss.
Design agents showing task breakdowns, steps, approval gates, and permission UX before acting.
A Figma component library prompt patterns, output cards, citation chips, confidence states, streaming animations your engineers can ship from on day one.
First-run setup, model configuration, permissions, and onboarding designed to help users achieve AI outcomes without confusion or fatigue.
An AI product design partner you can trust
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AI products in users' hands, not concepts in a portfolio
A few of the web apps our team has designed end-to-end. Demo placeholders below, to be replaced with live case studies.
Five phases, every phase ends with something you can review
No black box. Every phase has a concrete deliverable you can inspect, test, and approve before the next begins. Built over 300+ mobile products refined until great work happens consistently, not occasionally.
We map your users, the jobs they're hiring your web app to do, and where the current flow breaks. Goals first, screens second.
End-to-end task flows, navigation structure, and role mapping — the skeleton that decides whether the second click feels obvious or not.
Lo-fi wireframes that lock layout, hierarchy and logic before visuals. Stakeholders sign off here, so we're not redesigning at hi-fi.
Full visual design, light + dark modes, accessibility passes, and a Figma component library your engineers can build from on day one.
Interactive Figma prototypes, usability testing on real flows, and a structured handoff with annotations engineers actually want to read.
We master six types of AI products
From regulated AI tools in Dubai to consumer AI apps in San Francisco our studio has designed across every major AI product category.
Consumer-facing AI products designed for users who don't know what an LLM is and shouldn't have to. Prompt scaffolding, smart defaults, no jargon.
Agents that show their working task breakdowns, intermediate steps, approval gates, and the trust patterns that let users actually delegate.
Enterprise and consumer AI search citation UX, confidence states, source review, and the patterns that make grounded answers feel grounded.
Automation tools pipelines, approvals, exception handling designed so AI handles the boring 80% and humans stay in control of the rest.
AI-native SaaS writing, design, analytics, marketing designed so the AI feels like a feature of the product, not the product's whole personality.
Enterprise AI compliance UX, audit trails, role-based access, output review flows designed to pass security and legal review on the way to rollout.
Your tools, your timeline, every sprint we’re there
From onboarding updates to sprint-ready handoff, every revision happens directly inside your team’s workflow. No disconnected agency process, no lost context just product, design, and engineering moving together toward launch.
Our team works directly inside your Figma org same files, same components, same naming. Your engineers don't translate anything.
Loom walkthroughs, Slack updates, and weekly reviews that match your sprint cadence no calendar tetris, no status meetings.
No "scope" arguments. We iterate until the chart actually answers the question that's what the subscription pays for.
After your first 3 months, pause anytime between rounds, before launch, during fundraising and resume without losing context.
This works best if you're…
If your product depends on usability, workflows, onboarding, and real user adoption not just visuals this collaboration model is built for you.
Design workflows, onboarding, search, permissions, and tasks based on real use, not just polished pages.
Your product evolves each sprint, so you need a team that iterates with engineering, not vanishes after delivery.
You want users to complete bookings, applications, onboarding, and purchases without confusion or drop-off.
Your team builds the product but needs a UX partner to simplify complexity and create scalable systems.
Performance that matters
FocoTik partners with startups and global brands to deliver scalable digital products through senior-led UI/UX systems, fast execution, and embedded product collaboration across SaaS, AI, FinTech, healthcare, and enterprise platforms.
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6 Reasons to work with us?
What our AI clients actually tell us when they sign back on for another quarter.
Our team has hands-on experience with AI SaaS, agents, search, workflow tools and consumer AI designing UX patterns that actually hold up against real model output, not idealized demos.
design
Our design process centers on the moment users decide whether to trust an AI answer citations, confidence states, transparency patterns and the recovery flows when the model gets it wrong.
A full in-house team of strategists, designers and Webflow developers working together so your AI product moves from model to launched product without the usual handoff friction.
Our studio follows a transparent, battle-tested 5-phase process with clear milestones, weekly reviews, and full visibility you always know what's shipping next sprint.
We align every detail prompt UX, output format, citation system, dark mode with your goals, whether that's lifting day-2 retention, passing enterprise security review, or unlocking a new audience.
Our support doesn't stop at launch. We optimize continuously as your model evolves, your audience grows, and the AI category itself reshapes without losing what made the UX work.
Beyond the brief: our clients speak
Inquiries on AI product design
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What does FocoTik's website UI/UX design service include?
Does FocoTik design AI-powered apps?
How long does a mobile app design project take?
Does FocoTik design for iOS and Android?
Does FocoTik design Arabic RTL apps for GCC markets?
How much does mobile app design cost with FocoTik?
Can FocoTik redesign an existing mobile app?
What files will I receive from FocoTik?
Ready to design an AI product that hides the model?
