Copilots, agents and generative AI products
AI Product UI/UX Design Services
Devoq Design is an AI product design agency for teams building copilots, agents, chat products and AI-powered platforms. We design the interface layer that decides whether people trust and keep using a model: prompts and inputs, answers with sources, review and approval steps, and cost and limits made visible. Accessible to WCAG 2.2 AA, with senior designers deciding what ships.
AI products succeed or fail on the interface around the model
Two products can call the same model and feel completely different. One shows a blank prompt box, returns confident text with no source and leaves the user to guess what happened. The other suggests starting points, shows what the system used, lets the person correct it and makes clear when a human decides. Capable models are now widely available, so the product edge moves to design. We shape the whole experience around the model: onboarding that sets expectations, input patterns beyond a text box, streaming and loading states, citations, feedback, undo, usage meters and error states for when the model is wrong. The result is an AI product your users understand and your engineers can build.
Our Services
Design services shaped by AI product teams, from agent interfaces to company websites:
AI App and Agent Design
Copilots, chat products, agent consoles and workflow tools designed with approvals, sources and cost visibility built in.
AI Startup Website Design
Company and product websites that explain what the AI does, show it working and earn trust from buyers and investors.
Features/Why Choose Us
AI product UI/UX design by Devoq Design covers the parts that decide trust and retention:
- Provenance and explainability
Answers carry sources, confidence cues and a way to see what the system used, so users can verify rather than simply believe.
- Human review where it counts
Consequential actions pause for approval, edits are easy and every automated step can be undone or escalated to a person.
- Cost and limits made visible
Usage meters, credit balances, rate limits and model choices are drawn into the interface so surprises do not land on the invoice.
- Compliance patterns for AI
Disclosure labels for the EU AI Act transparency rules from August 2026, and explanation and contest paths for decisions touching GDPR Article 22.
Copilots and Assistants
Agent Platforms
Generative Content Tools
AI Infrastructure and Developer Products
Approach Section
Our Approach to AI Product UI/UX Services
Discovery and Research
01
Interviews with target users and domain experts, a review of model capabilities and failure modes, and a map of where automation helps and where people must stay in charge.
Wireframes and Prototypes
02
Clickable flows that simulate model behavior, including wrong answers and slow responses, tested with real users before engineering commits.
UI Design
03
A clear visual system with components for streaming output, citations, approvals and usage, plus states for every model outcome.
Usability Testing
04
Task-based sessions that measure whether users catch errors, understand limits and know when to intervene.
Handoff and Optimization
05
Developer-ready files, tokens and documentation, then improvements driven by feedback signals and usage data.
Why Devoq Design?
We make the collaboration of people and interface more intensive and exciting.
Experienced Product Designers
SaaS, data and workflow products designed for years, now applied to copilots, agents and generative tools.
Trust Treated as a Feature
Sources, review steps and error recovery designed as first-class parts of the product, not disclaimers.
Model-Aware Design
Layouts that account for latency, streaming, token limits and uncertain output instead of assuming a perfect answer.
Regulation-Ready Patterns
Disclosure and explanation components that help your team answer EU AI Act and privacy questions.
Built to Integrate
Designs that fit your models, vector stores, tools and APIs so the interface matches what the system can do.
AI Speed, Senior Review
AI drafts layouts, copy and research summaries about 5x faster; senior designers decide every screen that ships.
Discover Our Case Studies
Explore Compelling Case Studies: Real Solutions, Real Success Stories
Web Design
We crafted a sleek and intuitive website for Firewire, a digital marketing company specializing in SEO and Google Ads, to showcase their expertise and results. Our design highlights their data-driven approach to connecting businesses with their audience.
Increase Customer interaction
87
%
New Customer Acquisition
30
%
Marketing
SaaS Product Design
We created a clean and scalable SaaS experience for Buzops, helping businesses manage operations, automate workflows, and improve customer engagement through a unified platform.
Demo Request Increase
37
%
Platform Interaction Growth
68
%
Customer Acquisition Boost
25
%
SaaS
Web Design
We designed and developed a user-friendly website for Cadre Crew, a company that helps growing businesses scale operations with virtual assistant and project management services. Our goal was to create an intuitive and efficient experience for their users.
Increase Customer Value
25
%
Boost Traffic
20
%
Higher Conversion Rate
15
%
Professional Services
Web Design
We built a modern online platform for Wealth Bridge, a mortgage and loan comparison service. The goal was a credible, easy-to-use experience that makes complex loan information simple. With a focus on clarity, performance and smooth interaction, the site helps borrowers compare home-loan products and choose the right one with confidence.
Higher Lead Generation
50
%
Growth in Page Interaction
78
%
More Returning Visitors
40
%
Web Design
We created a compassionate and accessible digital experience for AngelCare, simplifying care discovery, improving NDIS understanding, and empowering users to access personalized support services with ease.
Care Program Adoption
22
%
Client Interaction Increase
48
%
Satisfaction Score
93
%
Frequently Asked Questions
What does AI product UI/UX design include?
User research, journey mapping, wireframes and prototypes that simulate model behavior, visual interface design, design systems for AI components, accessibility checks and developer handoff for copilots, agents, chat products and AI websites.
Why does AI need its own design approach?
Model output is probabilistic, slow at times and sometimes wrong. The interface has to set expectations, show sources, make correction easy and keep people in control, which ordinary form-and-table design does not cover.
Can you redesign our existing AI product?
Yes. We review usage data, support tickets and recorded sessions to find where users distrust, misuse or abandon the AI features, then redesign those flows while keeping your models and backend in place.
How do you design for AI regulation and privacy?
We draw in AI disclosure labels ahead of the EU AI Act transparency rules from August 2026, and explanation and contest paths where automated decisions could fall under GDPR Article 22. These are design inputs, not legal advice, so your counsel confirms the details.
Why does the market need better AI interfaces now?
AI companies took 53.2% of global venture dollars in Q2 2025, according to PitchBook as reported by SCMP, so users face a flood of similar products. Clear, trustworthy interface design is how one product stands apart.
How much does AI product design cost?
It depends on the number of user types, screens and AI features and on whether research and testing are included. We scope a fixed price for a defined product and a monthly retainer for products that keep evolving, after a short discovery call.
Who owns the designs and the research?
You do, from the first week. Figma files, research recordings and documentation live in your own accounts and the contract assigns the IP to you.
Contact Us
Building an AI product? Let’s talk
