AI Agent: automate tasks that AI can do for you
- Reworking software means taking over existing code to correct it and make it evolve.
- We start by accessing the code, then carry out a free maintainability analysis.
- Depending on the quality of the code, improvements are made using the same technology or part of the code (often the back-end) is overhauled.
- Changing service providers allows you to unlock fixes when the current team is no longer available.
- Updating a language or migrating a technology improves performance and security.
IA agent Why continue to do things that artificial intelligence can do directly for you? In this video, the AI agent is presented as software capable not only of responding, but above all of carry out actions a human would do.
AI agent: simple definition (software that executes)
An AI agent, as explained here, is “software” capable of think, of do things, and complete actions that a human being could do. The idea is not to replace the person, but to delegate some of the tasks to a system that takes action.
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Why companies are interested in AI agents
The main benefit is productivity In many organisations, teams still carry out repetitive tasks that could be handled automatically.
(In general terms: the gains are often most visible when a task is frequent, can be standardised and follows clear rules).
Respond vs. act: what changes with an AI agent
A key point of the transcript: an AI agent is not limited to “answering a question”. It is designed to go to :
- trigger an action,
- execute a step in a process,
- apply a pre-defined procedure.
Setting up an AI agent: teaching it “how to do things”
The mechanism described is simple: set up and learn to the software how you want certain things to be done. In other words: you define your expectations (rules, instructions, how to proceed), and the agent applies these instructions.
Discover how to set up an AI agent & how to automate repetitive tasks
What types of tasks should an AI agent be entrusted with?
In the extract, the focus is on an agent that reproduces human actions: anything that can be described, framed and repeated. The approach consists of identifying the tasks in the company that we would like to be carried out automatically, and then entrusting them to the AI.
Good framing practices to avoid unpleasant surprises
(General, prudent and useful lighting)
- Define the expected result (what the agent must produce).
- Define the decision rules (when to act / when to climb).
- Keep human validations on sensitive stages at the outset.
Taking action: launching an AI agent project
If you want to move forward with an AI agent, the simplest step is to agree on the tasks to be automated and the way in which you want them to be carried out.
The next stage
- Take meeting with an AI agent creation expert to discuss your project
- Contact our AI agent creation agency made to measure
To remember
- An AI agent is software designed to carry out actions, not just respond.
- The aim is to delegate repetitive, structured tasks.
- The key is settings teaching the agent “how to do it”.
- First we identify the tasks to be automated, then we formalise the rules.
- A clear framework + validations at the outset make the whole thing more reliable.
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It is software designed to perform actions and complete tasks that a human would do. In the video, the idea is to delegate tasks to AI rather than redoing them manually.
By setting it up with instructions and a way of proceeding: what you expect, how the work should be done, and when to act. The clearer the framework, the more useful and consistent the agent will be.
Choose a team that starts from your business and your processes before the technical side, and that knows how to frame what the agent has to do. A good indicator of this is the ability to formalise your tasks and decision-making rules. Contact our AI agent creation agency
Start with a meeting to define the tasks to be automated and the execution rules, then launch a first targeted version. Make an appointment with an AI agent project expert
Go back to the framework: instructions, exceptions, approvals and definition of “done correctly”. Often, improvement involves clarifying the rules and adjusting the agent's scope. Contact our AI agent configuration agency