Getting Started Beginner 3 min read

How long does an AI MVP take to build?

How long an AI MVP takes depends on scope, decisions, integrations and AI testing. Octacer's phases from scoping to launch, what slows a build down and how to speed it up.

Updated November 10, 2026

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In short: It depends on the scope of the first release, but the timeline is driven by a few things you can control: how narrow the core user journey is, how quickly decisions and access arrive, how many integrations are involved, and how much the AI part needs testing. At Octacer, an AI MVP starts with a free scoping call, or a 3 to 5 day Scope Sprint for deeper discovery, and the delivery schedule is agreed in writing in the scope before the build starts.

The phases

Phase What happens What sets the length
Scope Core journey, features, exclusions, acceptance criteria, evaluation examples and build plan in writing Free call for straightforward projects, or a 3 to 5 day Scope Sprint
Design UX for the core journey, reviewed before engineering Number of screens and review speed
Build Frontend, backend, integrations and the AI workflow, demoed regularly Most of the timeline; scope and integrations
Verify Testing the agreed critical paths and the AI evaluation set, then your review Number of critical paths and fixes
Launch Deployed in your accounts with monitoring and hand-over Account access and approvals
After launch 30 days of defect fixes against the agreed scope Fixed

What slows an AI MVP down

  1. Too many journeys in version one. Agree one journey that must work end to end; everything else waits.
  2. Slow decisions and access. Waiting for API keys, accounts or answers often costs more time than engineering.
  3. No examples to test the AI against. Without a representative evaluation set, nobody can say when the AI is good enough.
  4. Unclear acceptance criteria. If "done" is not written down, the build keeps growing.
  5. Integrations with poor documentation. Each unknown API adds risk.

How to speed it up

  • Bring sample inputs and expected outputs you are allowed to share.
  • Name one decision maker.
  • Create the accounts (cloud, model provider, repository) early, in your name.
  • Write down what is out of scope.

How Octacer prices it

A fixed quote after a free scoping call, paid in three stages: 40% when the scope is approved, 30% at the staging demo, and 30% when it is deployed and handed over. Deeper discovery can start with a $500 Scope Sprint, credited in full against the build. Hosting, model usage and subscriptions are billed to your accounts. See AI MVP Launch and MVP development.

FAQ

Can you give a timeline before scoping?

Only a rough one. The schedule is agreed in the written scope once the core journey and dependencies are clear.

Can we start from a prototype?

Yes. Existing prototypes are reviewed for what can be reused before quoting.

Does an AI MVP take longer than a regular MVP?

Usually the AI part adds evaluation and fallback work: agreeing examples, testing failure cases and defining human review.

What happens after launch?

30 calendar days of fixes for delivered functionality that does not meet the agreed requirements. New features are scoped separately.

Next step

Write one sentence describing what your product helps someone do, and collect a few real example inputs. Then book a free scoping call.

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