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AI agent

Agents & orchestration

An AI agent is a system able to reason, decide and act to reach an objective: it analyses a request, breaks it into steps, chooses its tools, carries out actions and adjusts its behaviour based on the result. Where a conversational model speaks, the agent acts: on a CRM, a database, a messaging system.

In practice at Gensai

Gensai designs agents that book appointments, check information in databases and answer the phone as intelligent answering machines.

When to move to an agent?

When the task requires acting on tools (calendar, CRM, database, messaging) and not just producing text, and when the steps are stable enough to be framed. The best first cases are frequent, measurable and reversible: booking an appointment, checking a piece of information, preparing a file.

Common mistake

Granting too many rights too soon. An agent must have the minimum access it needs, an explicit list of authorised actions and human validation on anything that commits the company. Its reliability is built step by step.

Definition written with AI assistance, checked by Sébastien Lecocq, co-founder of Gensai.

Going beyond the definition?

From concept to project: Gensai builds custom, sovereign, GDPR-compliant AI solutions.

Related services: AI agents

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