When you need an AI prototype and Proof of concept (PoC)
To accelerate Time-to-Market
To secure stakeholder buy-in
To de-risk investment
A client story: from Figma to a fully functional app
For Way2B1, we built a functional AI prototype that moved stakeholders beyond mockups and demonstrated clear product value. This demo eliminated ambiguity and forged a shared vision across the entire team.
How secure will your company data be with AI?
We build prototypes in a secure sandbox, completely separate from your live systems and real customer data. Access is strictly controlled through private, password-protected environments, so only your team can view the prototype.
Our process is also flexible enough to be adjusted to meet your company's specific security policies. When the project is complete, the prototype is instantly and completely removed, leaving no lingering security risks behind.
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FAQ
How AI prototyping is different from UX prototyping?
While traditional UX prototyping manually validates specific user flows, AI prototyping uses generative models to create and test a vast array of design variations and data-driven layouts simultaneously. This allows teams to move beyond testing singular hypotheses to discover optimal solutions for complex systems, personalizing user experiences at a scale previously unimaginable. A specialized agency can help integrate this strategic capability, ensuring your prototypes test not just usability but the core intelligence of your product.
What firms specialize in AI-driven product design and prototyping?
The field of AI-native design is new, with a few forward-thinking agencies and specialized teams leading the charge. Firms like Cieden stand out by combining deep expertise in complex domains like SalesTech, FinTech, and Healthcare with a dedicated practice for applying generative AI to solve core product challenges, from data visualization to dynamic user journeys. True specialists move beyond just using AI tools; they help you build a sustainable, AI-driven design culture within your organization.
To help you navigate the landscape, we’ve compiled a list of agencies that specialize in this space. You can review it here:
How to get your entire team prototyping with AI?
Start with WHY. The single clear reason that would be meaningful to your team is the foundation for your roadmap. Next, select a core set of AI prototyping tools that fit your team’s workflow and run pilot projects on well-defined features to build momentum and establish best practices. To accelerate this transition, a hands-on workshop from an AI-native design agency can equip your entire product team with a methodology. A great place to start is by watching the AI in design webinar from Volodymyr Merlenko, a prominent voice in AI prototyping in Europe who creates prototypes literally every day at Cieden.
What are the best AI tools for rapid prototyping?
The best AI prototyping stack depends on the task, as different tools solve for different parts of the workflow from code generation to user flow simulation. For instance, tools like Cursor and v0.dev excel at accelerating front-end development from prompts, while large language models like Claude are powerful for brainstorming user flows and generating contextual copy at scale. True velocity, however, comes from integrating these tools into a cohesive design system, a process where an experienced partner can help you select and implement the right stack for your specific product challenges.