Brief & context
Users · Workflow · Assumptions
AI SERVICES
Rapid AI
Prototyping
Turn the brief into something you can test.
Make a product idea tangible with AI-assisted prototyping. We agree a focused workflow, build a prototype and make clear what it demonstrates – and what still needs validation.
YOUR IDEA / PROTOTYPE WORKSPACE
▣User flow
→⌘Interaction
→◉Feedback
The next decision
Continue · Revise · Stop
AGREED SCOPE · VISIBLE ASSUMPTIONS
WHERE THIS FITS
Make the next
decision concrete.
Start with a product question, a user workflow or a feature idea. A focused prototype gives your team something tangible to review before committing to a full build.
A product idea to explore
Make a proposed feature or product direction tangible before planning full delivery.
A workflow to test
Explore a focused user journey, its interactions and the assumptions behind it.
A direction to align on
Give stakeholders a shared reference for discussing scope, behaviour and next steps.
HOW WE HELP
From brief to
something tangible.
We combine product thinking with AI-assisted prototyping to make a defined idea testable. The work stays focused on your question, your users and the decision ahead.
Focused product brief
Agree the user, the question and what the prototype needs to demonstrate.
Clickable user flows
Make key screens and interactions tangible around one agreed workflow.
AI-assisted build
Use permitted tools to build the prototype, with engineering review of the output.
Review and next steps
Document assumptions, open questions and options for the next stage.
WHAT WE AGREE FROM THE START
A prototype.
Clear boundaries.
Define what we are testing, what information can be used and what remains outside the scope. A prototype is not a production-ready product.
Defined scope
Agree the workflow, level of fidelity, timeframe and criteria for reviewing the prototype.
Approved data
Use agreed sample or synthetic data. Make any simulated behaviour explicit.
Clear limitations
Separate what the prototype demonstrates from what still needs technical or user validation.
A PRACTICAL PROCESS
From concept
to next decision.
Build enough to examine the idea. Review what you learn, then decide whether to continue, adjust the scope or stop.
Define the question
Clarify the user, workflow and decision the prototype should support.
Agree the scope
Choose the fidelity, inputs, timeframe and review criteria.
Build the prototype
Create the agreed flow and review its behaviour and assumptions.
Review and decide
Discuss findings and choose the next step together.
QUESTIONS BEFORE YOU START
Common
questions.
Does the product itself need AI?
No. AI can support the prototyping process even when the final product or feature does not include AI. The prototype should serve the product question, not force a technology choice.
Is the prototype production-ready?
No. A prototype is built to make an idea tangible and test specific assumptions. Production readiness requires separate engineering, integration, security and operational validation.
What happens after the prototype?
We review what was learned and decide on the next step together. That may mean continuing, revising the concept, preparing a technical proof of concept or stopping the idea.
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