AI integration for teams
that need it to ship
Senior product strategy, design and engineering for AI initiatives — from enterprise proof of concept to production features. AI-ready from day one, not a slide deck.
Talk to OKAPIWhere we help
Enterprise AI POCs
We validate an AI idea against real data and real constraints in weeks — a working proof of concept, not a rehearsed demo.
Production AI features
Once a POC proves itself, the same team carries it into a shippable product feature — no second team re-learning the problem.
AI-ready product foundations
We design the UX and architecture around AI features — human review, fallback states and trust — from the start, not bolted on after launch.
A demo that never ships is not a win
Most "AI initiatives" stall as a slide deck or a rehearsed demo because the team that builds the prototype is not the team that could ship it. OKAPI treats an AI proof of concept as a real product decision from day one — the same designers and engineers who validate the idea can carry it into production.
That is the same principle behind every OKAPI engagement: strategy, design and engineering as one unit, so an idea becomes something real and usable — not a demo that never ships.
1. Scope the real question
We define what the AI feature needs to prove — accuracy, latency, cost, user trust — before writing a line of model-facing code.
2. Build the POC in weeks
A working proof of concept against real data, reviewable by real stakeholders — enterprise POC in weeks, not quarters.
3. Carry it to production
If it proves out, the same team designs the surrounding product experience and ships the feature — not a hand-off to a different vendor.
AI integration vs. the alternatives
Where a senior embedded team differs from a big AI consultancy or a pure-play AI vendor.
| OKAPI | Large AI consultancy | Pure-play AI vendor | |
|---|---|---|---|
| From POC to production | Same team, no hand-off | Separate delivery team after the pitch | Stops at the model, not the product |
| Speed | Enterprise POC in weeks | Multi-quarter governance cycles | Fast on the model, slow on the product |
| Product judgment | UX, trust and fallback states designed in | Technical proof, thinner product craft | Often no product or UX discipline at all |
| Flexibility | Flexes with the roadmap, month to month | Large, fixed engagements | Point solution, not a team |
Good fit
- You are a Series A–C company, roughly 20–200 people, and leadership wants a real AI initiative, not a hackathon demo.
- You have an AI idea that needs to prove itself against real data before you commit a roadmap quarter to it.
- Your last AI prototype impressed a room and then never shipped.
- You want product strategy, design and engineering in one team, not a model handed to you with no interface around it.
Teams we've built with
Over 15 years combining design and technology for startups and global brands — including enterprise proofs of concept trusted by Raiffeisen Bank.
The engineering foundation behind our AI work
AI features are only as trustworthy as the product they live inside. Our AI initiatives build on the same senior product and engineering discipline behind regulated, high-stakes work like cBank's onboarding and transaction flows and fintech platforms where clarity and trust are non-negotiable.
Related services: product development · product design · embedded product team
Common questions
Do you work on AI initiatives?
We do — from enterprise proofs of concept to production features. The same principle applies as everywhere else: strategy, design and engineering together, so an AI idea becomes something real and usable rather than a demo that never ships.
Do you build a slide deck, a demo, or something real?
Something real. We treat an AI proof of concept as a working product decision, not a rehearsed demo — usable by real users or reviewable by real stakeholders, with a clear path to production if it validates.
How fast can an AI proof of concept be ready?
Most AI POC engagements are scoped in weeks, not quarters — enough time to prove the idea against real data and real constraints without the multi-quarter cycles of a large consultancy.
Can you take an AI feature from prototype to production?
Yes. Because product strategy, design and engineering sit in the same team, an AI feature that proves itself as a POC can move into production without a second team re-learning the problem.
Let's talk
Email: hello@okapistudio.com
San Francisco 408 Colusa Ave, El Cerrito, CA 94530, USA
BucharestFranzelarilor 2, District 2, 020786, ROU
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