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Level: IntermediateAI agents and assistants

AI agents that carry out real tasks, safely

AI agents connected to your systems, with scoped permissions, automatic checks and a log of every action. From pilot to production.

01The problem

Your company tried an AI chat, but it doesn't act: it can't query your systems, it doesn't record anything, and nobody trusts its answers.

02How we solve it

Agents built on tool calling and MCP, connected to your systems with least-privilege permissions, deterministic checks, a log of every action and human approval at the critical points.

03How it works

01Request02Agent plans03Checks andapproval04Action logged
  1. Request

    A ticket, message or task arrives through the channel your team already uses.

  2. Agent plans

    The agent chooses among the tools it's allowed to use: APIs, databases and documents.

  3. Checks and approval

    Deterministic rules check every action, and a person approves the critical ones.

  4. Action logged

    Everything goes into an auditable log: what was done, with which data and why.

The highlighted step is the check: anything that fails the rules goes back for review instead of moving on.

04What changes in practice

  • AI that acts, not just chats. The agent queries systems, fills in records and logs what it did.

  • Safe by default. Least-privilege permissions, automatic checks and human approval at critical points.

  • Cost and quality measured. Every task records its cost, its outcome and the errors that were blocked.

05What you get

  • Agent with integrated tools
  • Safety and approval rules
  • Auditable action log
  • Cost and quality metrics

06How the pilot works

Scope
One end-to-end workflow (for example, ticket triage, collections or customer onboarding)
Timeline
4 to 6 weeks

What we measure

  • tasks completed without intervention
  • cost per task
  • errors blocked by the checks

Metrics are agreed before we start. With the numbers in hand, you decide whether to move to production.

07Pricing

Pricing

Custom quote after a free assessment

Billing: project plus ongoing support.

Every project is quoted in writing after a free assessment, in US dollars or euros.

08Who it's for

  • Software companies that want AI taking action inside their product
  • Support, collections and onboarding operations with high volume
  • IT teams that need to audit what AI does

Industries where this service comes up most:

09Frequently asked questions

How much does it cost to build an AI agent for a company?

Every project is quoted after a free assessment, based on scope, volume and the systems involved. You get a fixed-price proposal in writing before any work starts.

How long does it take to get an AI agent into production?

The pilot takes 4 to 6 weeks. Typical scope: one end-to-end workflow (for example, ticket triage, collections or customer onboarding).

Which AI model do you use?

Whatever makes sense for cost and confidentiality: local models, OpenAI or Anthropic, often in a cascade.

Can the agent do something without permission?

No. It only uses the tools it has been given, with least-privilege permissions, and critical actions wait for a person's approval.

Who builds it

Osney A. de Souza

AI engineer · Joinville, Brazil

Five years of software development and AI systems in production. The person who handles your project is the one who designs it and writes the code.

  • Runs an AI-assisted audit platform in production, backed by thousands of automated tests
  • License plate recognition with deep learning for large-scale video monitoring
  • Software Engineering student (Univille, expected 2027)

Free assessment

Let's see if this fits your case

Tell us how the process works today, the rough volume and the systems involved. If it makes sense, you'll get a pilot proposal with scope, timeline and metrics.

Send an emailjuniorthesouza017@gmail.com Message on WhatsApp(47) 98864-2296

Tell us about the process, the rough volume and the systems involved. You'll hear back from the engineer who would build it.

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