AI Readiness Assessment. Two weeks. Working software.
Most AI readiness work ends in a slide deck nobody opens twice. This one ends in code. A senior AI engineer reviews your stack, ships a working proof of concept to your repo, and leaves you an AI implementation roadmap. Two weeks. Fixed scope. Fixed price.
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Engineering teams shipping AI in regulated stacks:
Teamvoy engineers have shipped production code for Nasdaq, Panasonic, Omio, Afriland First Bank, and 50+ other companies in fintech, insurance, healthcare, and hi-tech.
AI Readiness Assessment that ends in running code.
Every AI Readiness Assessment closes with a proof of concept merged to your environment. Not a maturity matrix. Not a recommendation document. Code your team owns on day one, plus an AI implementation roadmap to scale it.rn
What you get:
From first call to shipped code.
Two weeks, five phases. No hidden pre-work. No mobilization fees. You end with running code and an AI engineer roadmap for what to build next.
DAY 0: 15-minute technical call
You talk to a CTO, not a sales rep. We confirm the scope fits two weeks and send a fixed-price proposal within one business day.
DAY 1-2: Scope lock and repo access
Proposal signed. Repo and staging access set up. Engineer assigned. Sprint board created in your tracker.rn
DAY 3-10: Build
Daily commits on a working branch. Sync calls twice a week with the engineer writing the code. A working PR opens in your repo on day three.rn
DAY 11-12: Review and hardening
Code review and test coverage first. Then production hardening: observability, fallbacks, and audit trails. We test the proof of concept against your real data and edge cases so it holds up outside the demo.rn
DAY 13-14: Ship 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.rn
See what your stack is ready to ship.
Book a 15-minute call with a senior engineer. You leave with a fixed-price scope for your AI Readiness Assessment. A first concrete step in your AI transformation, not another discovery deck.rn
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.rn
+ Good fit
+ You know which AI use case you want validated, and the scope fits two weeks of senior engineering time.
+ You have a working system that needs a specific, bounded AI intervention. Not a greenfield build.
+ You run an AI prototype that needs production hardening: observability, fallbacks, audit trails.
+ 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.