Cost depends on scope, not a flat rate. We don't publish fixed pricing because a working AI workflow for a two-person startup looks nothing like one built for a company with existing systems and data to integrate.
Instead of quoting a number upfront, we work through a tiered engagement model built to scope cost accurately before you commit. The Assessment (2-3 weeks) gives you clarity on where AI actually creates value for your product and what a build would realistically involve. If it makes sense to move forward, the Sprint (6-8 weeks) delivers a functional AI workflow with measurable results, scoped to your specific use case. Some founders stop there. Others move into a Partner retainer to keep building and maintaining AI capability as the product grows.
This structure exists because startups waste money guessing at AI scope. A vague "build us an AI feature" request gets you a vague quote. A scoped Assessment gets you a real plan and a real number tied to your actual product, data, and team capacity.
What affects cost most: how much of your data and infrastructure is ready to work with, how many workflows you're automating, whether you need custom model work versus integration of existing tools, and how much ongoing support you want after launch.
See our complete guide to how pricing works across every engagement type.
If you're a founder trying to figure out what an AI MVP sprint would actually take for your product, start with an Assessment. Book a call and we'll scope it with you directly.