AI has the potential to reduce friction, surface insight, and accelerate work. But without thoughtful integration, it often adds confusion, erodes trust, or creates more questions than answers. We help teams identify where AI meaningfully fits into their product, design how it shows up for users, and integrate intelligent capabilities in ways that feel clear, supportive, and genuinely useful.
Depending on the product and context, we support AI integrations such as:
Turning complex, proprietary data into clear takeaways users can act on.
Helping teams move faster by reducing repetitive work without getting in the way.
Offering helpful guidance and options while keeping users confidently in control.
Getting new customers to value faster with contextual, adaptive support for complex systems.
Highlighting meaningful changes, risks, or opportunities right when they matter.
Designing goal-oriented systems that can take action on a user’s behalf, with clear guardrails, feedback, and control.
Many teams know AI could help their product, but struggle to translate that potential into something users understand or value.
We commonly see gaps such as:
Our role is to bring structure, clarity, and intention to those moments. Finding the Right Moments for AI in Existing Workflows.
AI works best when it supports how people already work. Rather than starting with technology, we start with workflows. We look closely at where users slow down, repeat effort, make judgment calls, or sift through information.
Designing for AI does not require a new process. It requires applying the same human-centered framework with greater intention around intelligence, trust, and clarity.
Our approach to AI builds on the same strategy, research, and design practices we use across all product work, with added focus on where intelligent capabilities can meaningfully support users.
AI is treated as a design material, shaped through the same human-centered principles that guide all of our work, not as a feature checklist or standalone initiative.
Some teams engage us specifically for AI exploration. Others incorporate AI guidance as part of a broader product effort. We adapt to your needs and maturity.
AI guidance can be folded into our existing offerings:
Where to focus and how to prioritize
We help teams make informed product decisions by uncovering user needs, business constraints, and opportunity areas. Through research, analysis, and strategic synthesis, we clarify what to build next — and why it matters.
Redesign, iterate, or start from scratch
From workflows and information architecture to high-fidelity UI, we design intuitive experiences for complex products. Whether modernizing an existing platform or shaping something new, we focus on clarity, scalability, and real-world usability.
Helping teams and users understand the value of AI
We help teams explore where AI meaningfully fits into their product — and how it should show up for users. Our approach emphasizes explainability, trust, and practical value, ensuring AI supports decisions and workflows without adding confusion.
If you’re curious about how AI could support your product and your users without overcomplicating things, we’d love to explore it together.
Start a conversation