Artificial intelligence for business, applied to real processes.
Artificial Intelligence systems that cut unnecessary steps, reduce rework, and free your team for tasks that need attention. Quatro Ventos designs agents, automations, and models tailored to your process.
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Chat on WhatsApp nowArtificial intelligence for business, adapted to each process
AI fits into the right process, with models, automations, and integrations tuned to what delivers results for your operation.
- 01
AI Agents
Assistants that handle customer service, qualify leads, and carry out internal tasks.
- 02
AI Automation
Automation of repetitive tasks across systems, removing manual steps and rework.
- 03
AI with your company data
Search and answers in documents and internal systems with RAG, controlled data access.
- 04
LLM Integration
OpenAI, Claude, Gemini and other models connected directly to your process.
- 05
AI-powered systems
Systems built from scratch, with AI at the core and full integration with your company workflows.
Deployment, from diagnosis to evolution.
The use case is tested with real data before integration. In production, it stays monitored and adjusted as your operation changes.
- 01
Diagnosis
We map processes, data, and systems to identify where AI brings concrete results.
- 02
Proof of concept
We test the most relevant use case with real data, validating results and adjustments before integration.
- 03
Integration
The solution integrates with the systems and channels your company already uses, with permissions set for each team's workflow.
- 04
Production
The solution runs in production, with usage, cost, and quality tracked to ensure consistent results.
- 05
Evolution
Prompts, models, and flows are updated as the process changes or new needs arise.
Principles of every project.
- Process before tool
The model is chosen after understanding the problem.
- The right model for each task
OpenAI, Claude, Gemini, or open models, depending on cost, quality, and privacy.
- Protected data
Access control, usage logging, and LGPD compliance.
- Human in the loop
Sensitive decisions go through a person.
- Predictable cost
Usage and cost tracked from day one.
Frequently asked questions
Does AI make sense for a small operation?
It does when there is a repetitive process, a high volume of service, or knowledge spread across documents. The diagnosis will show if that's the case.
Do I need to replace my current systems?
Not necessarily. AI can be integrated with what you already use: ERP, CRM, WhatsApp, email, spreadsheets, and databases. A diagnosis is needed to check each case.
Will my data train the model?
Your company data is not used to train the base model. It is used to expand the agent's knowledge, through techniques like RAG (search and answer in documents), conversation context, and controlled memory. This way, the model accesses specific information without mixing your company data with the global model.
How much does it cost?
It depends on the scope and usage volume. After the diagnosis, our proposal presents the project cost and the estimated monthly cost of the models.
Who maintains the solution afterwards?
Quatro Ventos. Support and evolution are part of the project.
Which AI solution fits which problem?
For messaging-based service and sales, you need an AI agent. For repetitive tasks across systems, automation with AI and n8n. If the answer is in manuals and contracts, go with AI with company data (RAG); to embed a model in an existing system, choose LLM integration; and for a new product with AI at the core, AI-powered systems.
Does AI replace the agent?
The AI agent handles repeated questions and simple requests. When the conversation needs a decision, negotiation, or goes off script, it hands over to a person. Your team stops wasting time on queues and focuses on cases that really need them.
How long does it take to implement AI?
The timeline depends on the project, but a POC or MVP is usually ready in up to 2 weeks, on average.
What can AI improve in your company?
Let's talk and define a starting point.