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AI-powered systems from the start of your project.

For us, building AI systems means putting AI at the core of the product, from designing the workflow to delivery.

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Where to use AI-powered systems?

AI handles the core tasks of the system, while people focus on decisions that require analysis or specific context.

  • Internal platforms

    Operational platforms where AI reads, classifies, and decides alongside the team.

  • Digital products

    Products where AI is the main feature, not just an add-on.

  • Support portals

    Clients resolve requests by interacting with an assistant connected to their data.

  • Analysis tools

    Data and documents are cross-referenced, with answers delivered in natural language.

From discovery to scale.

We validate the AI workflow with users before launch. The first version goes live and evolves as real usage shows what needs to change or grow.

  1. 01

    Discovery

    We map the problem, the users, existing data, and the risks involved.

  2. 02

    Prototype

    We test screens and AI flows directly with users to adjust what’s needed before development.

  3. 03

    MVP

    We launch the first version for real use, with monitoring from day one.

  4. 04

    Scale

    We track usage, cost, and performance, adjusting the system as volume grows. New features are added as needs or opportunities arise.

What the project delivers.

  • Discovery with problem, users, and risks mapped
  • Prototype with screens and AI flow
  • Data architecture, models, and integrations
  • MVP live in production
  • Monitoring quality, cost, and usage
  • Continuous evolution with new features

Frequently asked questions

What’s the difference between integrating AI into an existing system?

With integration, AI is added to a step in an existing system. In an AI-native system, screens, data, and rules are designed around what AI does best and where people are needed.

Do I need the full idea to get started?

No. Discovery starts with the problem and users, then defines what goes into the MVP.

Which AI model do you use?

We use whatever offers the best balance of cost and quality for your case: OpenAI, Claude, Gemini, or open models.

Who maintains the system afterwards?

Quatro Ventos handles system maintenance and evolution. That’s included in our service.

What AI products have you built?

Firefly Webmaker, where the client describes their business in a sentence and a team of agents writes, creates images, and publishes the landing page; and B.I.A, an SDR that handles leads on WhatsApp and the website, delivering qualified leads to sales. For subscription products, see desenvolvimento de SaaS.

How much does it cost and how long does it take?

Cost and timeline depend on the project. After our initial analysis, our proposal includes an estimate for launching the first version.

Have a product idea with AI?

Let’s talk and define what goes into the first prototype.

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