GenAI implementation: production AI systems you own | yaab
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GenAI Implementation

We build GenAI systems inside your business and take them to production.

All of it yours when we are done: code, IP and repository.

Agents doing real work in your operation, AI features inside your product, and the knowledge layer underneath. We take each one from "we need this" to running on your infrastructure, with senior engineers reviewing every gate and an evaluation layer that defines what correct means before anything ships.

yaab builds
you own it
The problem

Why AI pilots do not reach production.

The strategy deck exists and the pilot happened, and the thing still is not in production. The hard part was rarely the model. It was fragmented context, no definition of what correct means, and nobody accountable for operating it once it works.

The pattern shows up in the numbers. Publicis Sapient surveyed 1,550 enterprise AI decision makers in June 2026 and found that 73% already use AI across most of their processes, while only 10% call it core to the business and 42% say their organization is not built to capture its value.

What we build

What we are usually brought in to build.

If one of these is on your roadmap and nobody owns it, this is the conversation to have.

An agent doing real work

Reviewing cases and deciding, assessing submissions at volume, holding long structured conversations, reading and producing documents, monitoring an operation continuously, with the evidence behind every verdict.

AI inside your product

Retrieval, copilots and in-product agents built into what you already sell, delivered as production software with QA automation on every change.

AI on your internal operation

The processes that consume your team, moved onto agents that run on live context.

The knowledge layer underneath

Your operating state and institutional knowledge, unified and queryable by people and agents. This is the Company Brain.

The evaluation layer

What correct means for your cases, measured, and gated on every release.

What decides production

Four things that decide whether this ends in production.

You own the outcome and the artifact

Code, IP and repository, from day one. We have no platform to lock you into.

Correct is defined before anything ships

We agree what right looks like on your real cases, measure against it, and gate releases on those numbers. Without that, problems surface in production instead of before release.

Senior review on every gate

The AI generates; our engineers decide what passes.

Built to be operated

Documented, tested, and handed off so your team can run it. If you prefer that we operate it, we do.

How we work

Focus, Build, Production, Operate.

1
Focus

One working session maps where AI pays first in your operation, and what it would take to get there.

2
Build

Spec first, then generation directed by our engineers, with evaluation gates that define correct before a line ships.

3
Production

It goes live on your infrastructure, with QA automation protecting every change.

4
Operate

We run it with you, or hand it off entirely.

Three shapes of engagement

Three shapes, same standard.

What you keep

What you keep when the engagement ends.

The code and the repository, including history.

The IP. No license back to us, no runtime dependency on anything of ours.

The evaluation suite: what correct means for your cases, encoded and executable, so the system keeps proving itself.

The engineering brain of the system: decisions, rules and tests, connected, so whoever continues it starts with context.

Done means: the system runs on your infrastructure and passes the evaluation gates agreed before anything was built. Handing over the repository does not mean the engagement ends. If you want us to keep operating the system, we do.

Start with a working session.

Bring the process that consumes your team, the feature your product needs, or the three questions you wish your company could answer instantly. We map it and tell you what it takes.

What you leave with: the shape of the system, what correct would have to mean for it, and where it would pay first.