An AI MVP is the smallest working product that tests whether your core idea holds up with real users. It includes the AI capability that makes the product distinctive and deliberately excludes everything else — no admin panels, no settings, no edge cases — so you learn quickly and cheaply.
Scope is the deliverable
Most MVPs fail by being too large. Six months in, the team has built settings screens and role management and has still not shown the product to a user. The hard skill is deciding what to leave out, and it requires being clear about the one assumption the whole business rests on.
We spend the first sessions arguing about scope, not architecture. Once the riskiest assumption is named, the build usually shrinks by half — and what remains is genuinely testable in six to ten weeks.
Process
How we deliver it
Process flow for MVP development
01
Name the riskiest assumption
The one belief that, if wrong, makes everything else pointless.
02
Cut to that
Design the smallest product that tests it with real users.
03
Build
Four to eight weeks, working software at the end of each sprint.
04
Put it in front of users
Real usage, instrumented, with feedback captured.
05
Decide
Continue, pivot or stop — with evidence rather than opinion.
Deliverables
What you receive
A deployed, usable product with the core AI capability working
Analytics instrumentation on the behaviour that matters
Source code, infrastructure and documentation, all yours
A findings summary from real usage
An honest recommendation on whether to continue
Engagement shape
Fixed scope, fixed price, six to ten weeks. We would rather cut features than extend the timeline.
Stack decisions follow the problem. This is where we usually start, not a fixed menu.
Frequently asked
Questions we get about this
What if the MVP shows the idea does not work?
Then it did its job for a fraction of what the full build would have cost. We say so plainly in the findings — a consultancy that only ever recommends continuing is not giving you information, it is giving you an invoice.
Can you build on top of it afterwards?
Yes, and we build with that in mind: real architecture, not throwaway code. But we do not over-engineer for a scale that may never arrive. If the MVP succeeds, some rework is normal and much cheaper than pre-building for hypothetical load.
Talk it through before you commit
A discovery call is a working session on your constraint, not a sales pitch.
