Talk to Semantix

Semantix AI SuiteAgentix

Several AI agents working together in the same process

Agentix is the orchestration layer of the Semantix AI Suite. It builds each agent, sets the order in which the agents work and brings in a person when the decision is theirs.

Find where to start →

The problem it solves

The process crosses several departments and stalls along the way.

Agentix, Orchestrates

In other words

It is like a coordinator who assigns the steps, tracks progress and calls the manager when the decision is theirs.

What Agentix does

Each agent is built from four elements and, once in production, continues to be monitored and improved.

Build each agent

  • InstructionWhat the agent must do, with the rules of the process.
  • ToolsThe systems it can use, connected through LinkAPI.
  • MemoryThe history and documents it consults to decide with context.
  • AI modelChosen agent by agent from OpenAI, Anthropic, Google and DeepSeek models, or your own and on-premise models. Simple tasks can go to a more economical model.

Monitor and improve

  • Human approvalWhen a decision requires a person, the process pauses, waits for approval and resumes where it stopped. Each action that changes a system can require its own sign-off.
  • Prompt RegistryKeeps the versions of the instructions given to the AI. A change only goes to production after it is reviewed and approved.
  • FeedbackLoopContinuously evaluates response quality and turns users’ feedback into a new, tested version of the instruction, with history, so the agent improves based on evidence.
  • Shadow modeBefore going into production, the agent works alongside the team without acting. Its decisions are compared with people’s, and it only takes over when the results are convincing.

Four ways to organize the work

Each process uses the arrangement that suits it best. In all of them, every step is a complete agent, with instruction, tools and memory.

  1. 01In sequence

    The output of one agent is the input of the next.

    In the example: Extract the data from a contract, analyze the clauses and issue an opinion.

  2. 02In parallel

    Specialist agents work at the same time, and their results are combined at the end.

    In the example: Credit, fraud and personal data checked at the same time on the same request.

  3. 03By rule

    A rule chooses the path according to the case.

    In the example: A claim follows a different flow depending on its type, value or risk.

  4. 04In a review cycle

    One agent produces, another evaluates, and the work is refined until it meets the quality standard.

    In the example: An opinion revised until it meets the compliance criteria.

Works together with

The suite’s products form a single platform and can be used together in the same process.

Semantix AI Suite overview →

Frequently asked questions

Common questions about Agentix

What is agent orchestration?

It is the coordination of several AI agents in the same process: who carries out each step, in what order and with what information. Without orchestration, each agent solves an isolated task; with it, the whole process moves forward.

Do people stay in the process?

Yes. The points of human decision are defined when the process is designed. At those points the agent prepares the information, the person decides and the decision is recorded.

Do I have to choose a single AI model?

No. Each agent can use the model best suited to its task, and changing the model does not require rebuilding the process.

Not sure what a term means? That’s fine

Nobody should have to speak technology to understand a transformation.

Enterprise AI Company
A company that brings AI into the operations of large enterprises: it delivers the platform, builds with the client’s team or runs the processes with AI agents and specialists.
Hybrid workforce
AI agents handle the volume; specialists decide the exceptions and the risky cases.
Operation that learns
Every human decision becomes knowledge, so the next similar case is faster and cheaper.
Outcome-based contract
You pay for what is delivered and measured, such as tickets resolved or cost per transaction.
Context
Your company’s knowledge (data, processes, rules and decisions) that lets AI act safely.
AI
Computers able to perform tasks that would normally require human intelligence.
Agent
An AI system that can carry out tasks using tools.
Workflow
The path a piece of work travels inside a company.
API
A way of letting systems talk to each other.
Cloud
Computing and storage reached over the internet.
Data Platform
An environment that organizes and serves the company’s data.
Agentic AI
AI that can understand goals and carry out tasks within defined limits.
AI Harness
The structure that supplies the context, tools, rules and controls an agent needs to act safely.