AI Agent & Agentic AI - The future of autonomous agents for businesses

Find out how AI Agents and theAgentic AI transforming companies. As an artificial intelligence consultant, I work with your projects to create tangible value.

Language is at the heart of every organization: documents, exchanges, textual data. An AI Agent, Agentic AI and language models can transform this raw material into knowledge, fluid interactions and intelligent automation.

Selection of suitable models : Choosing between GPT, LLaMA, Mistral, Claude or Falcon, depending on performance, cost or confidentiality constraints, means ensuring optimum alignment between technology and strategy.
Advanced prompt engineering : exploit techniques such as zero-shot, few-shot or chain-of-thought to obtain answers that are relevant, robust and adapted to the business context.
Tokenization & embeddings : effectively manage context and vector representations to transform language into structured, actionable data.
Integration into workflows : conversational assistants, in-house tools, customer interfaces - agents capable of boosting productivity and enhancing the user experience.
Flexible deployment : via API cloud or locally with quantization, to reconcile efficiency, sovereignty and cost control.

Objective: turn language into a strategic lever, transforming words into decisions, data into insights and interactions into added value.

The difference between AI agent and agentic AI

A AI Agent is an intelligent assistant capable of performing specific tasks autonomously, such as responding to customers, analyzing data or automating a business process.

L'Agentic AIInstead of being limited to an isolated mission, it enables these agents to reason, plan and link together several actions to achieve a complex objective.

In other words, a AI Agent is a specialist who performs a task, while theAgentic AI is an approach that empowers agents to take the initiative and coordinate, paving the way for much more strategic, value-creating solutions for the company.