Ranked agencies for B2B clients
Top 30 of 34 agencies with documented B2B work.
About this list
In B2B, AI design usually means a feature inside business software — a copilot, a decision-support view, a workflow automation — where the hard part is trust and integration: a professional accountable for the outcome has to understand why the model suggested something and be able to override it. AREA 17 documents brand-experience-technology work for OpenAI and ElevenLabs; Adam Fard Studio evidences conversational-AI product work (e-bot7); SOHO Creative Group documents strategy-led narrative for deep-tech offerings.
The applied side is well-represented. Bonanza Studios documents validating new AI ventures for enterprise units; Supercharge evidences regulated modernization now folding in AI. Rates run €23–200 per hour, with a top tier for the transformation houses.
Separate the product problem from the narrative one. Designing a trustworthy copilot inside a workflow — confidence, correction, audit trail — is different work from designing the site that sells the model — read each profile's documented B2B AI/ML clients for AI shipped into products versus AI companies given a brand, note the overlap with SaaS platform depth, and check the embedded-team models for keeping design close to a fast-moving ML team.
Expert Insight
Why AI/ML experience matters
Trust design—70% of users abandon AI features they don't understand. Specialists know how to build confidence through transparency, explainability, and calibrated expectations. They design onboarding that sets realistic expectations about accuracy, so users aren't shocked the first time the model is wrong. One poorly handled error can destroy months of trust-building
Error state mastery—AI is wrong sometimes, and that's normal. But designing for graceful failure—confidence scores, human override paths, 'why did the AI suggest this?' explanations—is a specialized skill. A generalist treats errors as edge cases; a specialist treats them as the primary design challenge, because how your product handles being wrong defines whether users trust it
Prompt and interaction design—Conversational AI, copilots, and agent interfaces require entirely different UX patterns than traditional software. There's no 'submit button' for a copilot. No 'search results page' for a generative AI. Specialists are inventing these patterns right now, drawing on research in human-AI collaboration that most designers haven't read
Ethical guardrails—Bias indicators, consent flows, data transparency, and 'why am I seeing this?' explanations aren't optional anymore. EU AI Act compliance is coming, and specialists design these guardrails as core product features, not last-minute additions. The cost of retrofitting ethical AI design after launch is 3–5x higher than building it in from the start
Frequently asked questions
34 agencies in our directory combine verified B2B client evidence with documented AI/ML work. The current top-ranked are Humbleteam, Studio Graphene, Donux — ordered by depth of documented client evidence, then our editorial scoring (portfolio quality, credibility, completeness); placement is never paid.
Published rates across this page's agencies run €23–199 per hour (median ~€84). Project totals depend on scope — our cost calculator breaks estimates down by team size and engagement length.
Each listed agency has at least two documented, named B2B clients — published case studies or engagement descriptions our research actually read, with source URLs stored per client. Logo walls without published evidence carry no weight, which is what separates this list from self-declared directories.
11 of the agencies on this page document an embedded / team-extension working model. See the team-extension page for the full verified list, or check the engagement chips on individual profiles.