AI agents

AI agents that work in your operation.

A useful AI agent doesn't just chat: it queries systems, fills in records, organizes documents and hands off to a person when needed. We build agents like that, with clear rules and logged actions.

The problem

Most agents stop at the demo.

Without access to real data, defined limits and someone to check, they answer nicely and get the important stuff wrong.

What we deliver

Agents that take action, not just talk.

Customer service and triage agents

On WhatsApp, website or portal, with answers from company data and hand-off to human.

Back-office agents

Document reading, pre-registration, data validation and report preparation.

System integrations

ERP, CRM and internal bases via APIs and MCP servers, with role-based permissions.

Oversight and audit

Human review interface, every action logged and quality and cost metrics.

How we work

Four steps, from idea to operating system.

1

Assessment

We assess feasibility, data, risks and architecture.

2

Proof of concept

We validate the solution with real data.

3

Production

We build, integrate and put it into operation.

4

Evolution

We monitor, tune and add capabilities.

Who it's for

Built for operations that demand traceability.

✓ Para empresas que

  • Companies with high-volume repetitive processes.
  • Data in proprietary systems and need for traceability.

✗ Não é para quem

  • Looking for a generic off-the-shelf chatbot.

Frequently asked questions

Common questions about AI agents

What is an AI agent?

It's a system that uses a language model to understand a request and take actions in tools and systems, within defined rules. Unlike a chatbot, it performs tasks, not just answers.

Do AI agents replace people?

In our projects, the agent handles the repetitive part and prepares the work; decisions that require accountability stay with people.

Can you put an AI agent on WhatsApp?

Yes, using the official WhatsApp Business API. Company-owned customer service agents are allowed; the agent needs defined scope and hand-off to human.

How to prevent the agent from making up answers?

Answers from company sources (RAG), actions limited to a defined set and a rule to say 'I don't know' when the data doesn't exist.

How long does it take?

Depends on the systems involved. We start with an Assessment with fixed scope and a proof of concept with real data before going to production.

Read also

Start with the Assessment.

Before you invest, find out whether the idea is feasible, what it costs and what the path is.

Assess my AI project