Services / AI
AI in your product that customers trust, not tolerate.
Adding AI to a product is easy; adding AI people actually use is design work. We design AI features where the intelligence is useful, the limits are honest, and the interface earns trust — no sparkle-emoji gimmicks bolted onto the sidebar.
Where intelligence genuinely improves your product's core job — and the honest list of where it would just be a demo.
Loading, confidence, correction, and failure states designed deliberately. How an AI feature fails is most of its UX.
The feature designed end to end: interface, copy, and the prompt architecture behind it, tested against real inputs.
Disclosure, data-use clarity, and human override — the details that decide whether users rely on it or disable it.
01
Weeks 1–2
User research and feasibility: what AI can reliably do with your data today.
02
Weeks 3–5
Design and prototype with live model output, not lorem ipsum — AI features can't be evaluated with fake data.
03
Week 6
Test with real users and real failure cases; ship specs.
See it working
Not a client project: a working demo of the same capability, with an interface you can click through and an agent you can talk to.
Both, by preference. Designing AI without building it produces concepts that fall over in production. Our prototypes run on live models so what you approve is what ships.
A person replies within one business day. If the fit is right, that reply contains the diagnostic scope, the input checklist and the fee. If not, we say why.
Also in AI: Personalized business agents, Workflow automation, AI strategy for SMBs, Embedded AI for your systems.