AI UX design for products users actually trust

Your AI feature works. Your users just don't trust it yet. Boldare designs the human-AI interactions that close that gap – from confidence signals and error states to onboarding flows that earn adoption from day one.

Who has benefited from Boldare's expertise?

See the companies that trusted Boldare to get it done.

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Why do well-built AI features go unused?

The model is accurate. The engineering team delivered. But three months after launch, adoption numbers tell a different story – and nobody on the product side has a clear answer why.
  • Did your users try the AI feature once – and quietly stop?

    The first result looked off. Maybe generic, maybe just not quite right. They didn't report it. They didn't complain. They just went back to doing things the old way. And now the feature sits in the product with nobody using it.

  • Do your users know whether to trust what the AI tells them?

    The model returns an answer. There's no indication of how confident it is, where it came from, or what to do if it's wrong. Users can't tell the difference between a high-confidence result and a guess – so they treat everything with the same low-level suspicion.

  • What does your AI feature show when something goes wrong?

    A spinner. Then nothing. Or a message that says "something went wrong" with no explanation and no way forward. Users don't know if it's their input, their data, or the model – so they stop trying.

  • Are your enterprise buyers asking about AI transparency – and your UI has no answer?

    They want to know what the AI does on its own, what requires a human to confirm, and where the result came from. If the interface can't answer those questions, the deal stalls at procurement. Not at the demo.

EXPLORE YOUR OPTIONS

From first audit to ongoing partnership

Three ways to engage, depending on where you are. Start with an audit if you're not sure what's broken. Move to a full build when you know what needs to change. Stay with us as your AI product evolves.

ASSESS

AI UX Readiness Review

We audit your existing AI features against the patterns that kill adoption – and leave you with a prioritised fix plan your design team can act on immediately.
3–5 daysFixed priceCredited toward build

WHAT YOU GET:

  • Interaction audit

    Every AI feature in your product reviewed against the specific interaction patterns that cause users to disengage, lose trust, or stop coming back.

  • Friction map

    A visual map of where and why users drop off – tied to specific interaction moments in your product, not general UX observations.

  • Confidence and error state assessment

    An honest review of what your AI feature shows when it's uncertain or wrong – and what it should show instead to keep users moving forward.

  • Prioritized fix plan

    The top three UX issues ranked by adoption impact, with a clear rationale and a concrete recommendation for each – ready to hand to your team.

Not sure if your AI feature has a UX problem? → Talk it through with AI

BUILD

AI Interaction Design

We design the full interaction layer between your users and your model – from feedback loops and error states to trust cues and copilot interfaces.
6-10 weeksFixed priceMilestone-basedT&M

WHAT YOU GET:

  • Interaction patterns library

    A documented set of human-AI interaction patterns specific to your product – covering conversational UI design, feedback loops, and copilot interface standards – reusable across features, teams, and future releases.

  • Feedback loop design

    How the AI communicates confidence, uncertainty, and progress – including output formatting, streaming states, and inline confidence signals.

  • Error and failure UX

    Designed error states that tell users what went wrong, why, and what to do next – not just that something failed.

  • Trust and transparency layer

    UI patterns that answer the questions enterprise users ask before they act on an AI result: what did the model do, what did a human confirm, where did this come from.

  • Full design handoff

    Figma files, interaction specs, and implementation guidance your engineering team can work from without a lengthy briefing process.

Designing an AI feature and not sure what to cover? → Talk it through with AI

SCALE

AI Experience Partnership

We design the full interaction layer between your users and your model – from feedback loops and error states to trust cues and copilot interfaces
Monthly Retainer

WHAT YOU GET:

  • Interaction patterns library

    A documented set of human-AI interaction patterns specific to your product – reusable across features, teams, and future releases.

  • Feedback loop design

    How the AI communicates confidence, uncertainty, and progress – including output formatting, streaming states, and inline confidence signals.

  • Error and failure UX

    Designed error states that tell users what went wrong, why, and what to do next – not just that something failed.

  • Trust and transparency layer

    UI patterns that answer the questions enterprise users ask before they act on an AI result: what did the model do, what did a human confirm, where did this come from.

  • Full design handoff

    Figma files, interaction specs, and implementation guidance your engineering team can work from without a lengthy briefing process.

Already shipping AI features and wondering what comes next? → Talk it through with AI

Not sure where your AI feature is losing users?

Let’s start with an audit. We review your existing AI interactions, identify the top friction points, and give you a prioritised fix plan – before you commit to anything bigger.
BOOK AN AI UX AUDIT

Tools that move at the speed of AI product development

We work across the most widely used AI and design tools on the market. But what we bring to an engagement isn't a preferred stack – it's a way of thinking about human-AI interaction that works regardless of what your product is built on.

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Trusted by product teams across industries

Here's what clients say about working with us.

Allan Wilson

Allan Wilson

President - Team Alert

"I was really impressed with how much they cared about our product."
Jerome Defillon

Jerome Defillon

Chief Technology Officer – Novolyze

"We were impressed with their capacity to embrace an unknown domain and challenge the strong assumptions presented."
Norbert Baumann

Norbert Baumann

VP R&D – Sonnen

"They treat the customer portal as their product and this resulted in the high quality of their work."
Fabio Zecchini

Fabio Zecchini

Chief Technology Officer – Musement TUI Group

Boldare delivers results that meet our standards and expectations."
Christian Jennewein

Christian Jennewein

Head of Engineering – BlaBlaCar

"Their customer-focused, Agile approach inspired us, and we discovered that we shared a similar mindset."
Head of Software Development

Head of Software Development

Prisma

"They had a very short ramp-up time and were dedicated to delivering."
Zvonko Grujic

Zvonko Grujic

Director Digital Engineering – Maxeon Solar Technologies

"I feel that my opinions and observations matter and that the team will adjust their actions based on our feedback."
COMMUNITY

Where product teams figure out the AI era together

Product Builders | AI-Native is a community for practitioners building digital products in the AI era – run by Boldare, powered by 20 years and 350+ products of hands-on experience.

We regularly go live with guests from product, design, and engineering for honest conversations about what building AI-native actually looks like in practice. Written recaps, articles, and show notes from every session live on Substack.

A design team that has shipped AI products – not just designed them

There's a difference between knowing how AI-Human interaction should work in theory and having designed it for users who actually rely on it. That difference shows up in every audit, every pattern library, and every handoff.
  • Design heritage that predates the AI hype

    Over 300 products built across renewable energy, finance, construction and travel. The interaction thinking that makes AI UX work is the same thinking that's been behind every product we've shipped.

  • AI features designed and tested in production

    The AI UX patterns we use in engagements come from real products, real users, and real adoption data – not from design sprints that never reached production.

  • Depth of expertise without the enterprise overhead

    Senior AI UX thinking available to mid-market teams – faster to start, more practical to run, and tied to real delivery from day one.

  • A team that uses AI every day

    Boldare has run an internal AI guild since 2023. Every ai interaction designer working on AI UX engagements uses AI tooling daily in their own workflow.

Every AI product has an interaction problem worth solving

Tell us what you're building. We'll tell you where the friction is – and what it would take to fix it.

avatar, human profile - Beata Sumera-Górska, Head of Delivery
Head of DeliveryBeata Sumera-Górskabeata.sumera@boldare.com

Common questions about AI UX design

Answers to the questions we hear most often – from teams evaluating an audit to those already mid-build.

Why do users stop using AI features after the first week?

If adoption dropped after launch, the problem is usually about the interaction around it – missing confidence signals, generic first outputs, or error states that leave users with no path forward. These patterns are fixable, but they need to be diagnosed before they can be addressed.

How do you design AI features that users actually trust?

What should an AI feature show when something goes wrong?

How is artificial intelligence user interface design design different from regular UX design?

How long does an AI UX audit take?

What does EU AI Act mean for AI interface design?

Can AI UX be improved after the feature has already launched?

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Boldare S.A. z siedzibą w Gliwicach, przy ul. Zwycięstwa 52, zarejestrowana w Sądzie Rejonowym w Gliwicach, X Wydział Gospodarczy Krajowego Rejestru Sądowego pod nr KRS 0000914518, NIP 6312698829, REGON 38958555. Wysokość kapitału zakładowego i wpłaconego 100 000,00 zł.