A growing online store
- Today
- The team has a long list of AI ideas and no way to choose.
- With AI
- Two ideas are tested with real product and support data; one is clearly worth building and one is dropped.
AI strategy and prototyping
A short, practical engagement to find where AI would actually help your business, then a working prototype on your own data so you can judge it with evidence instead of a sales pitch.
The problem
It is hard to tell which AI ideas are realistic. Vendors promise everything, and internal experiments often stop at a chat window.
We start from your actual processes and data, pick the one or two ideas most likely to pay off, and build a prototype small enough to test quickly and honest enough to show the limits.
What you get
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Use-case review
A shortlist of opportunities ranked by value, effort, risk and data readiness.
-
A working prototype
Built on a sample of your real data, so you can try it with your team.
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A clear estimate for the next step
What a production version would involve, what it would cost to run, and what could go wrong.
Example scenarios
Illustrations of the kind of work involved, not client case studies.
Questions
Do we have to build with you afterwards?
No. You keep the findings, the prototype code and the estimate, and can take them to any team.
What do you need from us?
Time with the people who do the work today, and a representative sample of the data involved, shared in a way your policies allow.
Tell us what you are trying to do.
A few sentences are enough. We will reply by email with questions or a suggested next step.
Other services
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AI-powered websites
A fast business website with an assistant that answers, qualifies and books. -
AI web apps
Internal tools and customer products where AI handles a real part of the work. -
AI mobile apps
iOS and Android apps with AI features that respect battery, privacy and patchy signal. -
AI integration for businesses
Assistants, knowledge bases and automations connected to the tools you already use.