A Sensible AI MVP, Built to Answer One Real Question
A small first version on your own data, with accuracy and running cost measured before you commit to more.
about service
Prove It Small Before You Build It Big
Most AI projects fail by starting too ambitious: a large scope, an untested assumption about the data, and a running cost nobody checked. An MVP should answer one question cheaply. Does this work on your real data, at a cost that makes sense? We built BD Automation for our own agency before offering anything like it to clients, and it grew from a narrow job, scoring incoming work, into a system that drafts proposals from real portfolio records. Starting narrow is how it earned its place.
What you get
What an AI MVP gets you
A working first version
Something your team can actually use, narrow enough to finish.
Accuracy you have measured
Results on your real data, not on a prepared example.
A real cost per run
The number that decides whether this is viable at your volume.
A decision, not a deck
Scale, change or stop, with evidence behind whichever you choose.
Limited downside
You learn what works before committing to a full build.
No lock in
Conventional code your next developer can read and extend.
OUR PROCESS
How an AI MVP runs with us.
- 01
Pick the one question
The single thing the MVP must prove, and how we will know it did.
- 02
Check the data
What the model will read from, and whether it is in a usable state.
- 03
Build and measure
A narrow version tested on real examples, with cost and accuracy recorded.
- 04
Review and decide
What worked, what did not, and a written recommendation on what comes next.
TECHNOLOGY STACK
Technologies we use.
The stack we reach for most on this kind of work. Every one of these has shipped on delivered client work.
python
openai
claude
gemini
node js
laravel
vector databases
rest api
IS THIS YOU?
This is probably the right fit if one of these sounds familiar
You have an AI idea and do not want to fund the full version to find out if it works.
A previous AI pilot looked good in a demo and fell apart on real data.
You need something to show stakeholders that is more than slides.
You are not sure whether your data is good enough to support the idea.
You want to know the running cost before approving a larger budget.
You have been quoted for a large AI build and want to test the core assumption first.
We work with clients in the USA, Europe and the Gulf. Tell us what you have and what it needs to do, and we will tell you honestly whether we are the right fit.