AI Design Agency

AI Design Agency for Product-Led Tech Companies

Up Strategy Lab helps B2B tech companies design AI features that users actually understand and adopt — and build the design systems that make those features scalable rather than one-off experiments.

Over 12 years and 100+ digital products designed. Red Dot Award winners. Design experience rooted in MIT methodology.

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Adding AI to your product is straightforward. Designing it so users trust and use it is not.

Most teams shipping AI features are engineering-led by necessity. The model works. The output is good. But the interface around it — how users invoke it, understand what it’s doing, review its output, and recover when it’s wrong — is an afterthought. The result is AI functionality that users either ignore or distrust. The design layer is what separates an AI feature from an AI-powered product.

AI design is a new discipline, not a new coat of paint

Designing for AI outputs requires different patterns than traditional UI. Users need to understand what the AI can and can’t do. They need clear ways to override, refine, or reject outputs. They need confidence signals that help them decide when to trust the system. These are interaction design challenges that require both UX expertise and a clear-eyed understanding of how AI systems behave.

We also help design teams work faster using AI

Beyond designing AI features, we help design and product teams integrate AI into their own workflows — using AI-enabled processes for user research synthesis, design variant generation, and content production. This reduces the cost of iteration and lets smaller teams move at a pace that was previously only possible with larger headcounts.

Frequently asked questions

  • What does AI-enabled design actually mean in practice?
    It means two things: designing product interfaces that incorporate AI features in ways users can understand and trust, and using AI tools within the design process itself to accelerate research, iteration, and production. We do both.
  • Do you need to understand our AI model to design the interface around it?
    We don’t need to understand the model architecture, but we do need to understand the AI’s capabilities, its failure modes, and the decisions it makes so we can design appropriate feedback, control, and transparency mechanisms into the interface.
  • Is AI design only relevant for AI-native companies?
    No — it’s increasingly relevant for any B2B SaaS product adding AI features to an existing product. The design challenge of retrofitting AI into an established interface is often harder than building AI-native from scratch.
  • How quickly can AI design workflows be introduced to a product team?
    For design workflow automation, most teams see meaningful efficiency gains within the first two to four weeks. For product-facing AI feature design, the timeline depends on the complexity of the feature and the current state of the design system.

AI features are only as good as the design that surrounds them.

Up Strategy Lab helps you close the gap between what your AI can do and what your users will actually use. Book a call to talk through what you're building and where the design challenges are.

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If you're shipping AI features and struggling with how to design interfaces users will trust, let's talk about the specific challenges you're facing.

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