Resser Solutions

Strategy··7 min read

How Long Does It Take to Build an AI MVP in 2026?

A realistic timeline for shipping an AI MVP that works in production: discovery, prototype, hardening, deploy. The honest version.

Written byResser Solutions·Hire us for this →

How long does it take to build an AI MVP? Three weeks from kickoff to a working MVP in your environment is typical for a focused scope. The eval suite is live by week 2; the deployable slice is live by week 3. Stretch projects with custom data work or unusual integrations run 4-6 weeks.

The 3-week MVP, week by week

Week 1: discovery + foundation

  • Day 1-2: read the codebase, talk to engineers, sketch the eval set on real examples.
  • Day 3-4: write the technical spec, integration map, cost model.
  • Day 5: lock the scope. Either build it or hand the spec back to you.

Week 2: prototype + eval live

  • Wire the eval dataset and cost telemetry. Get a baseline number.
  • Build the deployable slice , real integration with one of your systems.
  • End of week: you can run the slice on your data and read the eval result.

Week 3: ship a real user can touch

  • Tune the model / prompt / retrieval against the eval set.
  • Add cost ceiling, fallback chain, observability.
  • Ship to a real user inside your team. Watch them. Write down what surprised them.

When 3 weeks is not enough

  • Data is not ready (missing labels, scattered across systems).
  • The system you must integrate with has a SOAP API or no API at all.
  • Compliance review (SOC 2 evidence, GDPR DPA) needs to happen before any data leaves staging.
  • The eval depends on subjective human judgment and needs annotators.
  • On-prem deployment with customer-owned GPUs.

FAQ

Frequently asked.

Why three weeks and not three days?

Three days is enough to spin up a demo. Three weeks is the minimum to land a working MVP with a real eval suite, real integration with one of your systems, and a cost / latency profile you can defend at a board meeting. The three weeks separate 'looks great in a screenshot' from 'works on a Tuesday'.

What if our scope is bigger?

We say so on day one of discovery week. A 5-6 week MVP is common when you need custom data work or compliance review. We will not pretend a 6-week project is a 3-week project to win the deal.

Can we run the MVP in our own cloud?

Yes. We deploy to your AWS / GCP / Azure account or on-prem GPU cluster from week 2. You own the deploy from day one; we never lock the system inside our infrastructure.

Do we keep the code if the MVP doesn't convert to a full build?

Yes. The spec, the code, the eval suite, the runbook , all yours. No clawback, no lock-in. That is the whole point of the discovery week format.

Have a project like this? Send the brief.

We reply within one business day with a preliminary scope and a rough budget bracket.

Request project estimate→More notes →