AI agents · Agentic intelligence
Your current processes gain agents that carry out repetitive work inside your systems, while exceptions reach whoever decides. Every decision becomes a rule for the next case. This page shows the path, step by step.
A workflow is simply the path a piece of work travels.
Take the order → check stock → approve → invoice → deliver.
Many business processes rely on people switching between systems, looking up information, hunting for rules and repeating tasks.
Analyze that process, identify its decisions and tasks, connect the systems involved and determine where people, automation and agents can work together.
The same customer request, travelling two different paths.
Before · the employee
After · the agent
The AI agent operates within the existing process, following the company’s rules.
Five different things that often get confused — and that only produce results when they work together.
It is the interface: where the conversation happens.
It is the process: the path the work travels.
It is the ability to execute inside that process.
It is the structure that makes safe execution possible.
It is the outcome: the only thing the business measures — and the only reason for everything before it.
Semantix AI Suite
One product connects the agents to the company’s systems, another coordinates the work between them and a third records every decision, so it can be explained. The fourth modernizes legacy systems, so they can also work with the agents.
See how it works →Complex processes involve different departments, systems and decisions. A mesh of agents lets specialized agents work together — with people still in control.
Orchestration
Distributes the work, keeps context across agents and decides when to bring in a person.
Execution log
Agents work together. Systems still matter. People stay in control.
We call this architecture an — and the component that orchestrates it, Agentix.
How we set limits on thisGovernance and limits
An agent should not have unrestricted access to everything. It needs to know what it may reach, what it may do and when it has to ask for approval.
That structure is what we call the . It is what links the intelligence to the systems your company already uses — and to the outcome.
AI Harness
Enterprise systems
ERP · CRM · SAP · ServiceNow · TMS · WMS · APIs · databases · in-house applications
Two requests reach the same agent. One is within the limits the company set; the other is not.
Executed
Amount within the policy limit · refund calculated · action logged with the agent’s identity, the rule applied and the timestamp. No person had to step in.
Blocked — awaiting approval
Amount above the limit authorized for automatic execution. The agent prepared everything — customer, order, rule and calculation — and sent it for human approval. The attempt is logged even though it was never executed.
Eight questions every agent must be able to answer before it acts.
What the agent needs to know about the situation and the business.
The policies it must always follow.
Which systems it may use — and how.
Which actions it may perform and which require approval.
The company information it has access to.
The record of every agent action.
The check that it did what it was supposed to do.
Who sets the limits, reviews them and answers for the operation.
Autonomy does not mean the absence of people: people stop performing repetitive tasks and focus their attention where human judgment, relationships and accountability matter most. Each process enters at the level its risk allows and moves up as trust is confirmed in practice.
Level 1
It suggests
The agent prepares the answer and a person decides. Good for starting out and comparing.
Level 2
It executes with approval
It does everything, but only completes after a logged human “yes”.
Level 3
It executes within a limit
It handles the common cases on its own; above the threshold or outside the rule, it calls a person.
Level 4
It executes and self-corrects
It operates and tunes its own performance, under continuous supervision and audit.
If the company has no answer to them, the project should not go to production — and we answer them together with the client before starting.
Who is accountable if the system gets it wrong?
Every action has a named human owner, a department and an authority level.
What gets logged?
The request, the data queried, the rule applied, the decision, the execution and the timestamp.
How is an action undone?
Before automating, we define the way back and who can trigger it.
What data can it see?
The minimum access required, with sensitive data protected or masked.
How do we know it is still working well?
Continuous evaluation of quality and drift, with an alert when behavior changes.
The tool that watches and evaluates
Beyond setting each agent’s limits, it is necessary to continuously verify that it acts within them and to demonstrate this in audits. That is the role of Safetix.
Safetix is part of the Semantix AI Suite and is what makes autonomy defensible before auditors and regulators.
Explore Safetix →We do not start with the most complex process, nor the best-looking one to demo. We start with the one that meets these five conditions.
It happens often
If it occurs dozens of times a day, every minute saved multiplies.
It follows rules that exist
When the rule is not documented, the first step is to formalize it, before any automation.
The data is available
An agent only decides well with information the company can already provide.
Mistakes do no serious harm
We start where a mistake is reversible and cheap. Trust grows with the results.
And the fifth: someone in the business has to care about this process. Without an owner invested in the outcome, no technology sustains the change.
Agentix Journey method
Each task in the process gets two scores: volume (how often it happens and how repetitive it is) and complexity (how much judgment it requires). Crossing the two shows how much of the task can be handed to an agent.
Volume ↑ high
Q1
Fully automate
Very frequent with a clear rule: the agent runs it from start to finish.
E.g.: request triage, password reset.
Q2
Automate with approval
Very frequent but requires judgment: the agent prepares and a person approves.
E.g.: billing disputes, opinions with exceptions.
Q3
Simple automation
Infrequent with a clear rule: a simple agent handles it, with no orchestration.
E.g.: monthly report, status check.
Q4
AI supports the expert
Infrequent and requiring a lot of judgment: the person decides, AI helps them decide better.
E.g.: diagnosing a critical incident.
Complexity high →
After the quadrant, each task gets a risk score: what happens if it is done wrong? The higher the risk, the more controls are applied to the agent.
Low risk 1 to 3
Personal data protection and a record of every execution.
Medium risk 4 to 7
Full protections and human review by sampling.
High risk 8 to 10
Sector policies, mandatory human approval and a complete audit trail.
“The chatbot explains the process, but a person still has to carry it out.”
“Repetitive tasks eat up the hours of people who should be making decisions.”
“Each department tests AI on its own, with no standard or control.”
“AI pilots work, but never reach day-to-day operations.”
From the first automation to operations run with agents, always inside the company’s process.
We map the process end to end and decide where AI acts and where a person decides.
Also known as: End-to-end agentified processes
Agents that query systems, apply rules and carry out tasks, with a record of every action.
Also known as: Agentix · Agentic Mesh
The first step: an assistant that answers the team’s questions using company information.
Also known as: Chatbot for business teams
Business teams building their own agents on top of SAP, safely.
Also known as: SAP Business AI
500+
AI agents managed by Semantix
Source: Semantix, 2026
5,000+
orchestrated processes
Source: Semantix, 2026
60B+
managed transactions
Source: Semantix, 2026
95%
of organizations face integration challenges when taking AI into operations
Source: Connectivity Benchmark 2026
61%
of companies do not yet report any impact of AI on operating results
Source: HBR Analytic Services
The intelligence comes from market models and platforms; what is ours is the architecture that puts them to work inside each client’s processes, rules and systems.
Technologies in the Semantix ecosystem. Display of partner trademarks is subject to their authorization.
Technical detail
Process discovery and decision mapping → a catalog of tools exposed to the agent (APIs, connectors, legacy RPA) → rules engine and authorization policies → multi-agent orchestration with execution state and memory → human-in-the-loop at approval points → per-action audit trail → continuous evaluation of quality and drift.
Components of the Semantix AI Suite: Agentix (orchestration), Safetix (governance and evaluation), LinkAPI (integration with enterprise systems).
Frequently asked questions
It is software that carries out steps of a business process — reading documents, querying systems, deciding within rules and recording the result — with a person reviewing whatever requires judgment. Unlike a chatbot, it does more than answer: it does the work inside the company’s systems.
RPA repeats fixed clicks and stops when a screen or document changes. An agent understands content, handles variation and knows when to ask a person for help. The two coexist: RPA stays useful for stable tasks, and agents take over where interpretation is needed.
By setting limits before switching it on: what the agent does alone, what needs approval and what is off-limits. Every action is traced and sensitive data passes through filters. That is the role of Safetix, Semantix’s governance layer.
With the highest-volume, lowest-complexity process, measuring a baseline before the change. A first agent in production is typically validated in about 90 days, with the success metric defined from the start.
This service is part of a single operating model, with AI agents and specialists on the Semantix AI Suite. Decisions made here feed your company’s shared context and make the other operations smarter.
Agents on the volumeSpecialists on judgmentFrom platform to operations
One context for your companyEvery operation feeds the same context and runs on the same foundation: the Semantix AI Suite and Brazilian governance.Explore Semantix AI Suite →Connect · Operate · Learn · Orchestrate