Spotlight

AI OS: your company's AI machine: artificial intelligence service by YAITEC Solutions, a Brazilian company specializing in custom AI solutions with LGPD compliance and native integration with enterprise systems.

AI OS: your company's AI machine, on your own infrastructure

We organize the data, build the company brain, build the agents for each service and deliver the hubs where the operation happens. You come out of it operating and knowing how to evolve it, without being locked into our account or a specific model.

Quick reply, no commitment.

AI OS map: data, SOPs and tools feed the company brain, which organizes agents and hubs. Data SOPs Tools Agents Hubs AI OS built with you

Where AI OS fits in

Six layers delivered together, because it is the combination that creates value, not a single piece.

Your own infrastructure

A VPS on your company's own account, with key access and backup. Data and agents stay in your name, not ours.

A source of truth in git

A repository with the map of the business, the processes and the decisions. Changes go in by commit, never by editing the machine by hand.

The company brain

A map of relationships, processes and knowledge by area, with rules on who reads what. Each agent carries only the context of its own role.

Structured data

A business database fed by API, not by copy and paste. The AI cross-references data instead of guessing.

Agents per service

One agent for each front of the business, with human approval on the sensitive step, running on WhatsApp and Telegram.

Operation hubs

Simple screens where the agent delivers the work and you see the whole picture, without having to become a programmer.

How it works

In stages, one front at a time, with you involved from the start.

  1. 1

    Before we start

    Two discovery conversations and a short homework assignment, with your use cases, one process from start to finish and the map of the tools you already have.

  2. 2

    Foundation

    Access to your infrastructure, documentation of what already runs, a repository created and synced, and you already operating with Codex or Claude Code.

  3. 3

    First front in production

    Brain, database, integration with the anchor system and the first flow for your biggest bottleneck in production, with a measured baseline.

  4. 4

    Agents per service

    One agent per front of the business, the official channel with your end customer and the second front prioritized.

  5. 5

    Autonomy and measurement

    Adjustments to the flows, handoff documentation and a result report measured against the starting point.

Want to see what this would look like in your business?

Tell us your biggest bottleneck. We will tell you where to start.

What you get

Infrastructure, data, agents and autonomy to keep evolving on your own.

Project delivery

  • Infrastructure and repository

    Your own VPS, hardening and a repository with the map of the business, synced one way only to the machine.

  • Brain and structured data

    Map of relationships, SOPs per area and a database fed by API.

  • Agents and hubs in production

    One agent per service, a request router and the screens where the operation happens.

  • Autonomy to evolve on your own

    You operating with Codex or Claude Code in your own repository, without depending on us for the next step.

How we can work together

Four formats, from the first diagnosis to a project in production. You can start with any of them. The price depends on scope and comes in a written proposal, before any commitment.

  1. 01

    Free diagnosis

    A 30-minute conversation

    To find out whether AI solves your case before you invest.

    • A conversation about your real process
    • The two or three points where AI changes the result
    • What is not worth automating yet

    No cost

    Get the diagnosis
  2. 02

    AI consulting

    1 session and a report

    To decide what to do first and what it costs.

    • 1-hour session with the technical team
    • PDF report with the recommended approach
    • Implementation roadmap
    • Cost-benefit analysis

    Custom proposal

    Book consulting
  3. 03 Results in weeks

    Production prototype

    4 to 6 weeks

    To validate a use case with real data and users before scaling.

    • Working prototype connected to your tools
    • Integration with the systems involved
    • 2 review cycles
    • Deployment guide

    Custom proposal

    Start a prototype
  4. 04

    Full project

    Scope and timeline fixed in the proposal

    To take the solution to the whole operation, with integrations and a trained team.

    • Complete, custom-built AI solution
    • Integration with ERP, CRM and databases
    • Performance testing before going live
    • Team training

    Custom proposal

    Talk about the project

Prefer email? Write to contato@yaitec.com

Want to know what fits your case?

Tell us the size of your team and the tools you already use. We will come back with the scope.

Frequently asked questions

Do I need to know how to code?

No. You take part in the sessions and learn to evolve what was built, but the YAITEC team does the coding.

Where does my data live?

On your own infrastructure, on a VPS in your company's name. Nothing is locked into an account of ours.

What if I already use agents or another platform?

We migrate what already exists to your infrastructure, with its own identity for each agent, and organize it before building more.

Which AI do you use?

The engine is swappable. Today we work mainly with Claude and Codex, but nothing is locked into a specific model.

How much does it cost?

It depends on the number of fronts, the integrations and the state of your infrastructure today. The range is presented in a proposal, after the discovery conversation.

What happens after the rollout?

You decide. You can keep going on your own with what you learned, or hire ongoing support for the next fronts.

Ready to have your own AI machine?

Tell us your biggest bottleneck and how the operation works today. We will reply with the next steps.

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