Autonomous Agents: Software That Decides on Its Own
RPA is a thing of the past. Meet the new generation of Agents that plan, reason, and correct their own mistakes.
Fabiano Brito
CEO & Founder
An autonomous agent is software that plans, executes, observes, replans, and corrects itself using a ReAct loop. For enterprises, this means critical system incidents can be diagnosed and resolved automatically in minutes, preventing major financial losses without waking up an engineer.
It's 03:00 in the morning. The payment server crashes on Black Friday. The alert hits Slack. Your engineer is asleep. You are asleep.
A traditional bot would send a "Fatal Error" e-mail and leave the site down until 08:00. Estimated loss: R$ 450,000.
The Agent Engine doesn't send an e-mail. It fixes the problem.
RPA vs Agent: the architectural difference
🤖 Linear "if-then" script
- First unscripted error → stops.
- Notifies a human and waits.
- New rule = new code + deploy.
- Scales in number of scripts, not intelligence.
🧠 ReAct loop (Reason + Act)
- Plans, executes, observes, replans.
- Failure → reflects on cause → tries something else.
- Context and tools: code stays stable.
- Scales in scenario coverage, not in lines.
Reasoning Loop in practice
See the real log of an incident handled by an agent with ReAct:
[03:01:20] ACTION: kubectl rollout restart deployment/payment [03:01:45] OBSERVATION: Pod still failing. [03:01:47] THOUGHT: Restart didn’t work. Checking logs… [03:01:50] OBSERVATION: “Java Heap Space Error” [03:01:52] ACTION: Update deployment resources limit to 4Gi [03:02:10] OBSERVATION: Health Check OK (Status 200) [03:02:12] FINAL: Incident resolved. Notify Slack.
The agent diagnosed, planned, executed, failed, replanned, and fixed the issue. In 2 minutes, without waking anyone. With traditional RPA, that same problem generates a P1 ticket and waits.
kubectl can also bring down the cluster. Mandatory: (1) list of allowed actions per severity level, (2) retry limit before escalating to a human, (3) accessible kill switch, (4) audit log of every decision. Autonomy is a contract, not a free-for-all.
The new role of the human
Does this mean the end of SRE engineers? No. It means they stop waking up in the middle of the night to restart servers and start designing self-healing architectures — defining the policies, guardrails, and runbooks that the agent executes.
The robot tightens the bolt. You decide which bolts exist, where they go, and what the safe torque is.
Frequently Asked Questions sobre Autonomous Agents: Software That Decides on Its Own
What is the difference between RPA and an autonomous agent? RPA executes a linear script and stops at the first error, while an autonomous agent uses a ReAct (Reason + Act) loop to plan, execute, observe, replan, and correct problems.
What is the ReAct loop used by autonomous agents? The ReAct (Reason + Act) loop allows the agent to plan, execute actions, observe the results, and replan based on the observations, allowing it to adapt and correct problems.
What are the risks of using autonomous agents? Autonomous agents can perform unwanted actions if they do not have adequate guardrails. It is important to define a list of allowed actions, attempt limits, a kill switch, and an audit log of decisions.
What is the role of SRE engineers with the adoption of autonomous agents? SRE engineers begin to design self-healing architectures, defining policies, guardrails, and runbooks that the agent executes, instead of resolving incidents manually.
Which recurring on-call incident is worth an agent?
30-minute diagnostic: 1 candidate runbook, pilot time and cost estimate, risk analysis and guardrails. We leave with a concrete plan or an honest "not worth it yet" recommendation.