Risk 01
The demo that never ships
Impressive in a meeting. Never in production.
What we do
Production is the goal from day one: real data, real users, automated releases.
AI product development
AI where it’s the shortcut. Shipped properly.
Bring a business problem or product idea. We shape a useful first release, design it around the people who will use it, and take it through build and launch. AI is part of the solution when it earns its place; conventional software remains an option.
01 — Who it’s for
For when you have the problem, not the brief.
Heads of Digital and Product
A business problem where AI might be the shortcut, and no team to take it from idea to production.
Engineering leaders
AI ideas piling up, and a core team that can’t take them on.
Owner-led businesses and founders
An idea worth building, and no product team to take it all the way to launch.
02 — The whole picture
Vision, design and code, held by the same people.
Step 1
Vision
Understand the problem, users and commercial constraints. Define a useful first release and where AI adds value.
Step 2
Design
Flows, UX and UI around how people actually work, prototyped and put in front of real users before it’s built.
Step 3
Build
The people who designed it build it: AI features, data, integrations and infrastructure as code, in thin slices.
Step 4
Launch
Release with a way back. Measure what real users do, and what the AI gets right.
Step 5
Evolve
Iterate on evidence. Keep us on through staff augmentation, or take it over cleanly. You own it either way.
When a product needs additional expertise, we can draw on collaborators we know personally and have worked with before.
03 — What goes wrong
Three ways AI projects go wrong. Three things we do instead.
Risk 02
AI for its own sake
A model bolted on where plain software would do better.
What we do
We use AI only where it’s the shortcut. Where it isn’t, we say so and build it simply.
Risk 03
Your data, out of your hands
Data drifts into tools nobody approved, and nobody can explain the answers.
What we do
Clear rules on what each model can see, kept inside your cloud accounts.
04 — What we cover
Everything between the idea and the release.
01
Product framing
The users, business goal, existing workflows and constraints. Shape a useful first release and decide where AI earns its place.
02
UX and UI design
Flows, wireframes and high-fidelity UI in Figma, with a design system your team can extend.
03
AI in your product
Plain-English questions over your business data, content generation, and agents that do real work.
04
Data boundaries
What each model can see, decided up front and enforced in your own cloud.
05
Commerce and platforms
Shopify, headless storefronts, integrations and custom apps.
06
Cloud and delivery
AWS infrastructure as code, CI/CD, automated releases and rollback.
05 — What we won’t do
No AI strategy decks. No demos that stay demos.
Vision is the first step of a build, not a separate engagement. If it isn’t going to ship, we won’t write it.
06 — Other ways in