AI Services — Build & Automate
You need something people can actually click through, not another slide deck
A board review, a pilot property sign-off, an investor conversation — a static mockup no longer earns confidence. Our prototyping sprint uses AI-assisted development to get you a working, interactive prototype in about a week, built by a team that also knows how to take it into real production afterward.
Where this gets stuck
What gets in the way of a good prototype
- Your internal team can't drop the roadmap for a week. Pulling engineers off live product work to build a demo is a real cost most teams can't absorb.
- Fast AI-generated demos look great in a screen recording and fall apart the moment someone clicks off-script. Speed without product structure produces something fragile.
- There's no plan for what happens after the demo lands well. A prototype that dies in a shared drive wastes the momentum it created.
How we run it
Assess, build, scale — in about a week
Problem Framing Session
- Defined scope — a written agreement on exactly what the sprint covers, agreed before a line of code is written.
- User story map — who's using the prototype (a guest, a nurse, an investor) and what they need to see it do.
- Success criteria — a concrete definition of what “good” looks like for this specific prototype.
Prototyping Sprint
- A working, clickable prototype — real interaction flows your audience can explore themselves, not a guided walkthrough.
- Consistent, on-brand UI — styled to match your property or platform's actual look, not generic template components.
- Documented build approach — a record of how it was built and what it would take to extend it.
- Handover notes ready for your dev team, or ours, to continue from.
Prototype to Production
- Honest retrospective — what the prototype validated and what it didn't.
- A concrete next-step proposal — scope, timeline, and team for turning it into a real feature, if that's the direction.
- Same team, same codebase if you continue into a full build — no re-explaining the project to someone new.
Good fits
Good fits for a prototyping sprint
- A guest-facing AI concierge to demo to a hotel group's ownership before a multi-property rollout decision.
- A patient intake assistant to show a hospital's clinical and IT leadership before committing budget.
- An IoT dashboard concept for a facilities team evaluating whether predictive maintenance is worth building out fully.
FAQ
Common questions
What exactly do we get at the end of the week?
A clickable, working prototype your audience can explore on their own — not a Figma file that needs someone to narrate it, and not production software, but a solid, honest demonstration of the idea.
What if the prototype doesn't land well?
That's a useful, fast, low-cost answer. Better to learn it in a week than after a full build.
Can this turn into the real product afterward?
Yes — that's the Scale stage. If it lands well, the same team can move directly into full AI Product Development without starting over.