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Entry Path

AI-Built Product

A product was built quickly with AI coding tools and works as a prototype. The team wants to ensure the existing build is safe, scalable, maintainable, and production-ready before customers, investors, or new engineers depend on it.

AI-built MVP about to onboard its first enterprise customerInvestor due diligence raises questions about software asset qualityNew CTO inherits an AI-assisted codebase and does not trust what is underneathAgency delivered an AI-coded prototype and the client needs production assuranceEngineering team debating fix vs refactor vs rewrite with no external pressure-testNon-technical founder built an MVP with Cursor, Lovable, or Bolt, raised funding, and now needs production-grade engineering before scalingAI-built prototype has customer traction but architecture, security, and maintainability have not been independently reviewed
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1

Phase 1 — Diagnose & Decide

Independent production-readiness review of the AI-built system. If the review identifies multiple viable paths forward, a bounded decision sprint produces a single defensible recommendation with cost and risk modeling.

2

Phase 2 — Architect

Optional
When: If the path decision is re-architect or controlled rewrite

Target production architecture and migration plan — component decomposition, data architecture, integration design, and a build-ready backlog the engineering team can execute from.

3

Phase 3 — Oversee & Guard

Optional
When: When the team continues shipping with AI coding tools during or after the fix

Ongoing delivery controls for teams continuing to ship AI-generated code — CI/CD gates, Definition of Done, release readiness criteria, and audit-ready evidence on demand.

Outcome

Production-ready — or a clear action plan.

This Journey Often Reveals...

Technical Delivery Assurance

Retainer client brings in vendors/SIs for implementation and needs independent oversight

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First AI Build

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Project Rescue

An AI initiative is behind schedule, over budget, or stuck in pilot — and nobody internally has the independence or the mandate to say whether it should be fixed, restructured, or killed.

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Second Opinion

A significant architecture decision or investment is on the table — new AI platform, vendor selection, build-vs-buy — and leadership wants independent validation before committing budget.

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Ready to start the AI-Built Product journey?

Book a 30-minute discovery call. We will listen to your situation and confirm the right starting point — no commitment required.