300 products shipped. Here's the one decision that made everything else possible.

We crossed 300 shipped products last month at Ailoitte. Felt like a good moment to share the one operational decision that made everything else possible.

We stopped letting the scope grow after Week 1.

Sounds obvious. It is not. Every founder wants to add one more feature. Every PM has a backlog item that "should really be in the MVP." Every stakeholder has a use case that "only takes a day."

The moment you accept one of those mid-build, the 4-week timeline becomes 6. Then 8. Then you are just a normal agency.

How we enforce it

Week 1 of every AI Velocity Pod engagement ends with a locked spec. Figma screens signed off. Architecture defined. Backlog documented separately. After that, anything new goes post-MVP — no exceptions, no change orders, no "quick additions."

Founders who accept that constraint ship on time. Founders who push back on it do not. We have learned to identify the second type during scoping and have honest conversations about whether the Pod model is the right fit before we start.

The honest business reality

This boundary is also what keeps fixed pricing sustainable. We price it at $24,900 because we know exactly what gets built. The moment scope is negotiable mid-build, fixed pricing collapses. Every agency that has tried fixed-price delivery and failed did so because it did not enforce this boundary early enough.

300 engagements. 21 countries. Fintech, healthcare, SaaS, logistics. One constraint held across all of them.

If you're currently evaluating whether a 4-week fixed-price build is right for your product, this comparison of the top 10 MVP companies breaks down exactly where the model works and where it doesn't.

Scope your build here: ailoitte.com/startup-mvp-velocity

What's the one constraint that's made the biggest difference in how you ship?