Agentic automation: how it differs from traditional automation
Short answer: agentic automation is automation where an AI agent chooses the steps itself to reach a goal, instead of following a rule you wrote in advance. Traditional automation does the same thing every time. Agentic automation checks your data, decides what needs doing and can test its own work, so it handles more situations but needs limits. In Mavibot, CRM robots are traditional automation and the Mavi assistant is the agentic kind. Anthropic published six rules for agents that run on their own on October 8, 2026, and below we show how they look in a real project.
This guide is for owners and marketers who run chatbots or a CRM and are deciding what to hand over to an AI agent and what to keep as simple rules.
What agentic automation means
An agentic automation has a goal rather than a script. You say what you want, for example "find the clients who went quiet" or "build a chatbot flow for selling a course", and the agent picks the actions: what to read, what to change and when to ask you. The word comes from "agent", an AI that acts on your behalf. You will also see it called AI agent automation or AI agent workflow automation, and the three terms mostly mean the same thing.
What sets it apart from a rule is that it works toward a goal instead of along a fixed path, reads the situation each time it runs, and can check its own result.
Agentic AI vs traditional automation
| Traditional automation | Agentic automation | |
|---|---|---|
| Who decides the steps | You, in advance | The agent, within the limits you set |
| What starts it | An event or a condition, such as a new message or a stage change | An event, and also the agent's own check of your data |
| An unexpected situation | Nothing happens, or the wrong thing happens | The agent looks for a way to handle it |
| How it fails | The same way every time, so it's easy to find | It can do something you didn't plan, so it needs limits and approvals |
| In Mavibot | CRM robots: a trigger, a condition and an action | Mavi, the built-in AI assistant |
Neither one is better. If a rule is simple and never changes, a robot is simpler and more predictable. Our guide to CRM workflow automation shows four setups of that kind. Agentic automation fits where the situation varies, or where building the thing by hand would take too long.
What Anthropic published on October 8
On October 8, 2026, Anthropic published Building effective agent automations on the claude.dev blog. The authors, Lance Martin and CJ Avilla, built a reference agent that reads Slack and GitHub on a schedule and posts a short brief of what changed. It is a developer setup on Claude Managed Agents (beta), with configuration files, a command-line tool and an SDK.
The article ends with six rules that apply to any automation working in the background:
- Read each source from where you left off, not from a fixed window such as "the last 24 hours".
- Report a failed read as unreadable, never as a quiet day.
- Re-check every item right before you act on it.
- Count an action as done only when the system confirms it, then update your records.
- Re-read your preferences on every run, from a place the agent can't edit.
- Give the agent read-only access wherever it only reads, and cap what each run can spend.
Mavibot is built for a different reader, someone who runs a business and doesn't write code. The problems are the same, though, and three of the six rules have a direct match in Mavi. Mavi also keeps the kind of run record that Anthropic's agent keeps.
How the rules look in Mavi
A failed read is not a quiet day
The risk Anthropic describes is an agent that loses access to a source and still reports "nothing new". The reader thinks everything is fine. In Mavibot, the Overview page has a Needs attention block that shows what is broken. Two examples from our test project:
- A disconnected channel. The message reads "Discord is disconnected, but clients still write from it." Mavi counts the clients who wrote from that channel this month and says there is nowhere to answer them until it is connected. An Open channels button takes you to the channel settings.
- Dead ends in the bot flow. The message reads "28 spots in the bot flow where clients can get stuck." One example is a button that leads nowhere: the client taps it and the bot says nothing. A Show problems button opens the list.
The agent proposes, you approve
Mavi works in two modes. In Asks first mode, Mavi asks and you decide: messages, mailings and bonuses go out only after you confirm. In Acting mode, Mavi can do the reversible work itself, such as tasks, labels and assigning owners. In the chat with the agent, the same permission to carry out actions is called auto.
What Mavi suggests doing lands on the Decisions page. Each row is one suggestion, for example:
- a client silent for 30 days with a deal worth 199 R$ gets the label "Mavi: went silent";
- a client who wrote and has waited 24 hours for a reply gets a task for the project owner;
- a deal that has had no responsible person for 7 days gets a task for the owner.
You can agree to suggestions one by one, a whole folder at a time or everything at once. Messages, mailings and bonuses are different: they go out only through the folder buttons, so you send them yourself.
There is also a Background work switch. When it is on, the assistant checks your data every night, not only when you open the Overview. In the morning it writes in the chat what it found and does what you allowed in the settings. Messages, mailings and bonuses always wait for your word.
Check the facts before you agree
Anthropic's third rule is to re-check an item right before acting on it, because the world changes between reading and acting. Both the Overview and the Decisions page show when the data was last checked, with a time stamp and a Check again button. Press it before you agree to a batch: a client may have answered since Mavi looked.
Keep a record, and make changes reversible
Anthropic's agent writes a record of every run. Mavi has a similar page called Assistant actions, which you open from the chat with Mavi. It is a log of what the assistant did in your project data, including the CRM, clients, courses, the shop, mailings and messages to clients. Each row shows whether something was created or changed, which object it was, who requested it, the time, and an Undo button. Changes can be undone, but a message that has already been sent cannot, which is one more reason to keep messages behind your approval. Edits to the bot flow itself are kept on a separate Schema edit history page.
What happened when Mavi tested its own chatbot
We asked Mavi to build a chatbot flow for us in a test project. We did it in the chat with the agent, where the permission to carry out actions was set to auto. Mavi built the flow, then opened the test environment, started a dialog with the bot and walked through the whole funnel to look for bugs.
That check cost 8 of the 50 messages available per day on the free plan. Test messages count the same as real ones: the limit counts every message the bot sends, whether the dialog is a test or a real customer. We saw the drop in the limits counter right away.
An agent that checks its own work is useful, because walking a funnel as a client is how you find dead ends before a real customer does. But the check spends your limit. In practice, the daily message limit of your plan is what bounds an agent, so before you ask for a test of a long flow, check how many messages you have left. This is Anthropic's sixth rule in practice: decide in advance what a run is allowed to spend.
A checklist before you give an agent a job
- Decide what the agent may do on its own and what needs your word. Start with reversible actions: tasks, labels and owners.
- Keep messages to clients and anything involving money behind an approval.
- Make sure a broken channel or integration shows up as a warning, not as a quiet day.
- Look at the time stamp on the data before you agree to a batch of changes.
- Check that every change the agent makes is logged and can be undone, and know what can't be: a sent message.
- Know your limit. Tests and real dialogs both count against it.
- Start in the mode where the agent asks first, and switch to acting once you have seen that its suggestions are right.
When simple rules are enough
If the job is "when a deal moves to this stage, create this task", you don't need an agent. A robot with a condition does it the same way every time, and the rule is easy to read. Our guide on what to automate first helps you pick the jobs where automation pays off, and what Mavi can build for you shows the agentic side in more detail.
Try it in your own project
Start free, open the Overview page of your project and look at what Mavi flags. Keep the Asks first mode on until you trust the suggestions.
Frequently asked questions
What is agentic automation?
Agentic automation is automation where an AI agent chooses the steps itself to reach a goal, instead of following a fixed rule. The agent reads your data, decides what to do, acts within the limits you set and can check its own result.
How is agentic AI different from traditional automation?
Traditional automation follows a rule you wrote in advance and does the same thing every time. Agentic AI chooses the steps toward a goal and adapts to the situation, which makes it more flexible but also means it needs limits and approvals.
What is AI agent workflow automation?
It is a workflow where an AI agent runs the steps: it reads the data, decides what to do next, takes the action and checks the result. A rule-based workflow runs the same fixed steps every time.
Can Mavi send messages to my clients on its own?
Not without your confirmation. In Mavi's screens, messages, mailings and bonuses go out only after you confirm. If you allow it, Mavi can do reversible work such as tasks, labels and assigning owners on its own.
Can I undo what Mavi changed?
Yes, for changes. The Assistant actions page, which you open from the chat with Mavi, logs what the assistant did in your project data, such as the CRM, clients, courses, the shop and mailings, and each change has an Undo button. A message that has already been sent cannot be undone.
Do test conversations count toward the message limit?
Yes. The limit counts every message the bot sends, whether the dialog is a test or a real one. On the free plan the limit is 50 messages per day.
What does Background work do in Mavi?
When it is on, the assistant checks your data every night, not only when you open the Overview. In the morning it writes in the chat what it found and does what you allowed in the settings. Messages, mailings and bonuses always wait for your word.
Do I need to code to build agentic automation?
Not in Mavibot: you describe what you need and Mavi builds the chatbot flow. Anthropic's reference implementation is a developer setup, with configuration files and a command-line tool.
When are simple rules better than an agent?
When the job is simple and never changes, such as creating a task when a deal reaches a stage. A rule is simpler, more predictable and easy to explain.