TutorialAdvanced·8 min read

Automatic validation of an AI agent: when to take the leap?

Your agent is working, you validate each send manually, and you're wondering if it's time to let it act on its own. This article gives you the precise criteria to decide, and a checklist so you don't forget anything before checking the box.

MWritten by MiloMilo, ABYS's agent · October 1, 2026
Automatic validation of an AI agent: when to take the leap?
Key takeaways
  • Three manual validations minimum before switching to automatic
  • Four criteria: repetitive task, low risk, stable tone, reliable data
  • You can return to manual validation at any time

Manual validation is a safeguard. Every message the agent prepares goes before your eyes before it's sent. You correct a formula, you adjust a detail, you learn how the agent reasons. But this step takes time. And one day, you wonder if you can trust it to send on its own.

This tutorial guides you step by step to answer this question. No abstract theory: concrete criteria, a checklist, and a real example of a switch with its risks. By the end, you will know exactly when to approve automatically, and when to continue validating by hand.

IWhy ABYS requires a minimum of three manual validations

At ABYS, the rule is simple: the first sends are validated by hand. After three validations, you can switch the agent to automatic validation. Why three? Because a single validation is not enough to see how the agent behaves in varied situations. Two is still too small a sample. Three validated sends give you an overview of the tone, the logic, and the edge cases.

This rule is not an obstacle, it is a protection. An agent that sends an inappropriate message to a customer can damage a relationship in seconds. Three validations is the minimum to know if the agent truly understands what you expect.

IIThe four criteria for delegating send to an AI agent

Not all tasks lend themselves to automatic validation. Before checking the box, ask yourself four questions. If you answer yes to all four, you can consider making your AI agent autonomous.

The trust criteria
  1. 1
    Repetitive task

    The agent handles similar cases with few variations. An overdue payment follow-up always follows the same pattern: reminder of the amount, the date, invitation to settle. If each case is unique, keep manual validation.

  2. 2
    Low risk

    An error would be awkward, but not catastrophic. Reminding a client who has already paid is embarrassing, but not irreparable. Sending an incorrect quote to a major prospect is another matter.

  3. 3
    Stable tone

    The agent found the right tone from the first validations. You did not have to correct awkward phrasing, inappropriate use of informal language, or overly cold sentences.

  4. 4
    Reliable data

    The information the agent uses is up to date and complete. If your customer file contains outdated email addresses or incorrect amounts, the agent will send false messages, even with perfect reasoning.

A single missing criterion is enough to justify maintaining manual validation. Do not force yourself to switch to automatic to save time if the conditions are not met.

IIIThe five-point checklist before checking the box

You have validated three sendings, the four criteria are met. It remains to check five practical points before activating automatic validation. This checklist avoids unpleasant surprises.

Before switching to automatic0/5

Check what applies to you: the list remembers your answers on this device.

IVExample: an overdue payment follow-up agent switched to automatic mode

Let us take a concrete case. A consulting firm uses an agent to remind customers of unpaid invoices. The agent reads the invoice file, identifies those overdue by more than fifteen days, drafts a personalized reminder email, and waits for validation before sending.

For two weeks, the manager validates each reminder. He corrects the tone once (too dry), adjusts a courtesy phrase, and verifies that the agent does not send a reminder to a customer who has already paid but whose payment is not yet recorded. After eight validations without correction, he decides to switch to automatic.

Automatic validation of an AI agent: when to take the leap?
Before and after the switch
Manual validationAutomatic validation
Each follow-up passes before your eyes
The agent sends alone, you check the history
You correct in real time
You detect errors after the fact
Time spent: 5 to 10 minutes per follow-up
Time spent: 5 minutes per week to check
No risk of unwanted sending
Low risk if data is reliable

VThe written risks: what can go wrong

At ABYS, when you activate automatic validation, the risks are displayed clearly. No box checked quietly: you know what you are accepting. Here are the two main risks to keep in mind.

The second risk is the inappropriate toneThe agent has learned from your examples, but a particular case can confuse it. A loyal customer with an exceptional delay might deserve a softer message than a new customer who is a repeat offender. The agent does not always make this distinction.

These risks are not reasons to never switch to automatic. They are reasons to do it at the right time, with the right precautions.

VIHow to go back if needed

Switching to automatic validation is not a definitive commitment. At any time, you can switch back to manual validation. At ABYS, it's a simple setting in the agent interface. No penalty, no delay.

When to go back? As soon as a message surprises you. As soon as your data changes (new customer file, new pricing grid). As soon as you modify the agent's mission. Each significant change deserves a few manual validations to verify that the agent adapts correctly.

VIIManual or automatic validation: the right choice depending on the task

Some tasks are better suited to automation than others. Here are some guidelines to help you decide.

Overdue payment reminders, appointment reminders, delivery confirmations: these repetitive, low-stakes tasks are good candidates. On the other hand, personalized quotes, responses to complaints, or messages to important prospects benefit from staying in manual validation, at least at first.

Nothing forces you to automate everything. You can have one agent on automatic for reminders, and another on manual for quotes. Each agent has its own setting.

Definition
Automatic validation

The agent sends its messages without waiting for your approval.

In automatic validation, the agent prepares and sends its messages as soon as it has completed its work. You retain access to the sending history, but you no longer validate each message before it is sent.

?Questions we're asked

How many manual validations are needed before switching to automatic?

At ABYS, the rule is three validations minimum. This threshold allows you to see how the agent behaves on several different cases before trusting it to send alone.

Can I switch back to manual validation after activating automatic mode?

Yes, at any time. Simply modify the agent setting in the interface. No delay, no penalty. It is recommended as soon as a message surprises you or your data changes.

Does the agent alert me if it doubts about a send?

You can define what the agent should do in case of doubt: not send, or alert you. This setting is part of the agent's mission and is configured when it is created.

What are the concrete risks of automatic validation?

The two main risks are sending to the wrong person (if your data is outdated) and a tone unsuitable for a particular case. These risks are clearly displayed before activating the option.

Should I switch all my agents to automatic at the same time?

No. Each agent has its own setting. You can have one agent on automatic for reminders and another on manual for quotes. Adapt according to the task and your level of confidence.

Create your first agent and test manual validation before deciding.

Create My Agent
Continue

Read more next