We help you turn AI prototypes into systems that run — agents, RAG, integrations, and human-in-the-loop workflows, built into your product and handed over with the docs and workflows to extend it yourself.
The opportunity: turn your AI experiments into AI that runs inside your product.
You already know what AI could do here. The next move is making it real for real users — built into your product, watched daily, and reliable enough to depend on.
That is what a full-cycle build delivers, taking a proven idea into a system that runs it for your users every day.
AI Outsourcing is a full-cycle AI development service. One accountable team takes your AI from concept to shipped — architecture, UX/UI, development, DevOps, documentation, and handover, in a single model.
You can engage time-and-materials from $35/hour, or fixed price from $30,000. We design and build the AI components, agentic systems, and AI-enabled workflows your product needs, ship them into your stack, and transfer the workflows and documentation so your team owns the result.
Strategy, design, build, and delivery sit under one roof — and the AI-powered workflows used to build it transfer to you with the system.
We build agents and AI components that do real work — standalone or wired straight into your product.
One team covers UX/UI, architecture, development, and DevOps, and keeps the handoffs inside the team.
Chatbots, assistants, agents, RAG, integrations, and human-in-the-loop control systems — built to fit what your product actually does.
We work across the stacks and models that suit your product, and slot into the architecture you already run.
You see working AI take shape day by day. Progress shows up as deliverables you can watch.
We take ideas from pilot to MVP to full-scale AI product, and turn what worked in the prototype into a system built to hold up in production.
You get clear docs and a real handover, so your team can maintain and extend the system on its own.
The AI workflows we use to build are reusable — and we transfer them to you, so the way it was built stays with the software.
Strategy, design, build, and delivery sit under one roof. You get working AI in your product and the means to keep building on it — a system your team can own.
The focus is agents and AI components that do work inside your product.
One team carries the AI the whole way, so every stage connects cleanly.
We transfer the AI-powered workflows used to build it, so you can maintain and extend the system yourself.
We convert what proved the idea into reliable, maintainable systems, with less rework on the way to live.
Daily progress is something you can see and run.
We integrate AI into your existing product and architecture, so it works as part of what you already run.
These are the directions the engagement is built to create — framing, not guarantees.
The aim is agentic systems shipped in weeks.
The aim is to add AI delivery capacity while keeping your own hiring optional.
The aim is to carry working ideas to production with less rework.
The aim is to see exactly where your AI delivery stands, every day.
The aim is AI that holds up under real users.
The aim is to own the workflows, so your team can extend the system on its own.
The aim is AI that fits your existing product and architecture cleanly.
The aim is to put AI ideas in front of real users early and learn fast.
You stay close to the build from design to handover. Each stage produces something real — architecture you can review, AI you can run, docs you can keep.
We define how it works, where it sits, and how it fits your product. The plan is concrete before production code lands.
You watch working AI take shape, day by day. Progress itself is the deliverable.
We test and validate against real use, with human-in-the-loop control where it matters. The system is hardened before your users meet it.
We deploy, document, and hand over the workflows used to build it. Your team can maintain and extend the system from there.
This fits when you know what your AI should do and want it built, shipped, and owned. It suits software vendors who need AI capacity fast, SaaS teams adding AI capabilities to their product, internal teams that want specialized AI delivery on demand, and CTOs who want speed and visibility with a system their team keeps.
If you are still shaping what AI should do for your product, start with AI Product Strategy. If you would rather embed specialists in your own team, see AI Staffing. For non-AI builds, see Software Outsourcing.
Bring the product and the AI you have in mind. We will map what it takes to get from pilot to a system that runs, and what owning it afterward looks like. A practical conversation, focused on your product.