An AI Readiness Assessment for Your Vibe-Coded Prototype
In this AI readiness assessment, a small senior team checks what you built, finds where it leaks, and flags the moments that decide whether it ships as-is or needs a rewrite. Straightforward fixes go straight into your repo; the rest gets a roadmap to production. The price is fixed before we start.
Request an Assessment
Engineering teams shipping AI in regulated stacks:
Teamvoy engineers have shipped production code for Nasdaq, Panasonic, Afriland First Bank, and 50+ other companies in fintech, insurance, healthcare, and hi-tech.
What the AI Readiness Assessment delivers
This assessment finds exactly which of those gaps apply to your code, and what to do about each one.
What you get:
Our Process
The engagement runs up to one month across five phases, fixed at kickoff.
DAY 0: 30-minute technical call
You talk to our seniour engineer. We agree on scope and you grant read access to the repo.
Week 1. Repo review and proposal.
The team reviews the repo and sends a fixed-price proposal based on what's actually there. Larger or messier repos can take the full week. Once you sign, staging access gets set up and the team is assigned.
Week 2. Quality check and leak points
The team reads the code, tests it against your real data and edge cases, and documents exactly where it breaks.
Week 3. Critical moments.
We walk the findings with your team and flag what ships as-is, what needs a quick fix now, and what needs a rewrite. Straightforward fixes go straight into your repo.
Week 4. Roadmap and handover.
Merged to your main branch or deployed to your environment. Knowledge transfer to your team, plus the AI implementation roadmap for the next phase. AI Readiness Assessment complete.
See what your stack is ready to ship.
Book a 15-minute call with our senior team. You leave with a fixed-price scope, or a clear reason why it needs more than a month.
When an AI Readiness Assessment fits. And when it doesn't.
This is a build engagement, not an audit. It fits teams comparing enterprise use cases for generative AI who want proof on their own stack before they fund a wider AI transformation.
+ Good fit
+ You have an AI-built prototype and need an honest read on what’s production-ready and what isn’t.
+ You want the specific leak points named, not a general “looks risky” impression.
+ A deadline is close and you need documented findings to point to, not another plan to make a plan.
+ You compare enterprise use cases for generative AI and need to know which ones run on your stack.
+ A compliance or board deadline is close and you need a concrete result to point at.
+ You want to test a long-term partner on a small, time-boxed project before a wider AI transformation.
– Not a fit
– You have not picked a problem to solve yet. Start with a scoping call, not a build.
– You want a full product built from scratch. That is a longer engagement, not a two-week assessment.
– The scope depends on other teams aligning or other vendors delivering first.
– You want the lowest bid. This is priced for speed and senior talent, not cost cutting.
– The scope cannot be locked before kickoff.
– You need staff augmentation. Teamvoy works as a full-ownership partner, not contractors you manage.
What Our Clients Say
AI Readiness Assessment FAQ
The questions buyers ask before they book. If yours is not here, book anyway. A senior engineer answers it on the first call.
Scope locked in your head? Let's lock it in code.
Request an AI Readiness Assessment. A CPO confirms feasibility, timing, and price inside one business day.