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Software EngineeringAI Experience Design

Get people to trust and use your AI with AI Experience Design

Interfaces that show how sure your AI is

Whether people trust and use your AI depends on the whole experience around it: how the product looks, how it flows, what it asks of them and how it answers. We take that on end to end, from user research and audits to UX, UI and product design, and the design system that keeps every screen consistent.

Start with an AI Experience AuditLet's Chat

Teams We've Built For

  • Valcre

Where do you want to start?

You don't need the full project. Pick whichever sounds closest to your situation.

  • Your AI feature is live and people aren't using it

    You get a usability and trust review of the interface, with recommendations for redesigning it.

    AI Experience Audit · 1 to 2 weeks

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  • Engineering is waiting on designs

    You get a design system and a clickable prototype, ready for engineering handoff.

    AI Experience Sprint · 3 weeks

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  • Someone has to check what your AI produces

    You get a review interface your reviewers will actually use, and it generates training signals as they work.

    Human-in-the-Loop Interface Sprint · 2 to 3 weeks

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  • Your AI features each work in their own way

    You get consistent, trustworthy AI experiences that scale without redesign.

    AI Design System Build · 4 to 6 weeks

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Our AI Experience Framework

AI User Research & Audits

AI User Research & Audits

We put your AI in front of real users and watch whether they understand it, believe it and keep using it.

  • Trust testing
  • Comprehension testing
  • Adoption review
  • Usability review
  • Redesign recommendations

The Advantages of AI Experience Design

What it changes for your business.

  • More people use it

    The people you built it for open it, and keep opening it.

  • Fewer support tickets

    Clear screens mean fewer questions reaching your team.

  • Less rework

    You find problems in a prototype, before engineering has built them.

  • Lower risk

    People can see how sure the AI is, check its sources and undo what it did. A wrong answer costs less.

  • A product that stands out

    When competitors use similar models, the experience is what buyers compare.

  • Learning from real use

    Usage and reviewer corrections show you what’s working, and feed back as training signal.

What the Work Looks Like

Three projects from the services above, with the problem each one started from and what changed.

View All Case Studies

Fair Questions

  1. It's the design of the screens people use to work with an AI system. That includes how answers, confidence, sources and errors are shown, and how people check, correct and hand work to the AI.

  2. A regular app does the same thing every time you click. An AI system can give a different answer each time, and sometimes a wrong one. So the design has to help people judge each answer, not only move through a fixed flow.

  3. It's a screen where a person checks what an AI produces before it gets used. A good one shows the least certain items first and puts the source next to the AI's output. It also records each correction so the system can learn from it.

  4. Four things: hand over a task, see how far it has gotten on long-running work, stop it and correct it, and undo what it did. If any of those is missing, people tend to supervise the agent constantly or stop trusting it.

  5. A BigStep AI Experience Audit takes one to two weeks. We review your AI interface for usability and trust, then give you recommendations for redesigning it.

  6. Not yet. It starts to matter when a second or third AI feature ships and each one shows confidence, sources and errors differently. Building shared components early saves you redesigning later.

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