AI-native UX & design
Design products where people and AI work together – interfaces that show what the AI is doing, ask before it acts and earn your users’ trust, so the product gets adopted.
Screens are no longer the only interface
People now type, talk and hand tasks to AI agents. Good design decides what the AI may do on its own, how it explains itself and how a person stays in control – across chat, voice and the screens around them.
- BeforeStatic screens designed onceNowInterfaces that adapt to the user and the task
- BeforeAI hidden behind a chat bubbleNowAI that shows its sources, confidence and next steps
- BeforeUsability tested after the buildNowPrototypes with real model output tested before it
What this service covers
Each capability can be used on its own or combined with capabilities from other services. “Also part of” shows the other services that include it.
Human–AI interaction design
Decide when AI suggests, when it acts and when it asks. Show sources and confidence, and make every AI action easy to check and undo.
Conversational, voice & agent interfaces
Chat, voice and agent task screens with clear approval steps, progress and hand-over to a person when the AI is unsure.
Prototyping & AI usability testing
Working prototypes with real model output, tested with your users before the build budget is committed.
Design systems & accessibility
Reusable components and WCAG 2.2 AA accessibility, so every screen is consistent and usable by everyone.
Combined with capabilities from other services
This service draws on capabilities owned by other teams. Each is explained in full on its own service page.
How we deliver it
- 01
Research
Interviews and task analysis with real users, including where AI should and shouldn’t help.
- 02
Prototype
Clickable and working prototypes that use real model output.
- 03
Test
Usability and trust testing with users, measuring task success rather than opinions.
- 04
Systemise
A design system and guidelines your developers can build from.
- Research findings and the jobs AI should take on
- Patterns for AI suggestions, actions and hand-over to people
- Tested prototypes and a design system ready for development
- Accessibility to WCAG 2.2 AA from the first screen
- Start with one capabilityA fixed-scope piece of work, such as an assessment, a prototype or a proof of concept.
- Combine capabilities into one projectCapabilities from several services, delivered by one team with one plan and one point of contact.
- Add a dedicated teamEngineers who join your team to build and run it with you.
Selected client work
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Read the articleFrequently asked questions
What is AI-native UX design?
AI-native UX design shapes how people work with AI features: when the AI acts, how it explains itself, how users correct it and how uncertainty is shown. The goal is trust and control, not just a chat box.
How do you design for AI agents that act for a user?
We design clear approval points, progress views and activity logs, so users see what an agent is about to do, can stop it and can review what it did. High-impact actions always ask first.
Do you run user research before designing?
Yes. We run interviews and workshops with real users, then test prototypes before development. For RentFatafat we ran several research rounds with tenants and landlords before arriving at a high-fidelity design.
Can you design dashboards for complex data?
Yes. We design and build data-heavy interfaces, for example network visualisations for Filoffee and location analytics for Tasweiq’s billboard customers – and increasingly let users ask questions in plain language next to the charts.
How do you handle accessibility?
We design to WCAG 2.2 AA from the start – contrast, keyboard use, screen readers and plain language – which also helps you meet accessibility laws such as the European Accessibility Act.