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CarRentRightAI SaaS MVP

Launched an AI legal claims MVP on a $6-8K budget, without giving up control of production

A multi-jurisdiction consumer dispute platform, deployed in the client's own AWS account.

CarRentRight: AI SaaS MVP
  • $6-8K

    MVP budget held

  • 12+

    target countries

  • 19

    section business analysis before code

logicflow · carrentright · the work
before

The challenge

  • Car rental customers get overcharged and have no accessible international way to resolve it.
  • The founder needed to move from manual intake to a digital product across 12+ countries.
  • Production had to live in the client's own AWS account. Security and ownership were non-negotiable.
  • The MVP budget was $6-8K, so scope discipline mattered as much as code.
what we built

The solution

  • Next.js, NestJS and Postgres, deployed to the client's AWS eu-west-1 account.
  • A three-mode resolution engine (Evaluation, Mediation, Litigation) with one clear case status.
  • Infrastructure as Code with two-role IAM separation.
  • A GDPR-compliant data model with consent records and the original story preserved.

after

The results

  • Achieved V1 in production on the client's AWS, without the client handing over account control.
  • Achieved a live landing page before the full platform, in time for banking and incorporation paperwork.
  • Achieved scope alignment before code with a 19-section BA, without budget overrun.
  • A repeat client: the second platform built for this founder.
“My only requirement was that the production infrastructure stays secure, stable, and under my account, with proper access control.”
Antonin Laberge, Founder, CarRentRight

built with

  • Next.js
  • NestJS
  • Postgres
  • AWS
  • Vercel
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