What if 2026 was the year of the agentic? Focus on Dust, the tool that is setting the standard

Dust is a collaborative AI platform that enables companies to create personalised agents connected to their own internal data (Notion, Slack, GitHub). Unlike traditional chatbots, Dust orchestrates multiple language models (LLMs) to automate complex workflows while guaranteeing enterprise-level data security and confidentiality.

Understanding Dust : Much more than an interface for LLM

Dust doesn't just provide access to ChatGPT or Claude. It's an infrastructure layer, called the "IA Agentiquewhich breaks down information silos. According to a Gartner study (2024)Autonomous agents represent a major technological trend, marking an evolution towards systems capable not only of generating content, but also of carrying out business tasks autonomously.

The tool makes it possible to build 'assistants' with a perfect knowledge of a company's history, capable of answering precise questions or executing processes (onboarding, customer support, log analysis) without constant human intervention.

The issues: Productivity and Sovereignty

The adoption of AI in business often comes up against two obstacles: the relevance of responses and security.

• Relevance (RAG) : Dust uses Retrieval-Augmented Generation to ensure that the AI is not "hallucinating", based solely on your verified documents.
• Safety : As a European player, Dust complies with the strictest data protection standards, a critical point at a time when the EU AI Act strengthens compliance requirements for companies operating in Europe.

How do you deploy an agentic strategy with Dust?

Implementation generally follows a four-stage cycle:

• Login : Connect data sources (Slack, Google Drive, Notion).
• Design : Define the "prompt system" and choose the best model (GPT-4, Claude 3, Mistral...) depending on the task.
• Test : Evaluate the accuracy of responses in a sandbox environment.
• Deployment : Make the agent available to teams via a dedicated interface or direct integration into their work tools.

Impact Carrière : The new role of "Product Builder

Mastering tools like Dust creates new opportunities. Companies are now looking for AI Automation Consultants and Product Builders capable of designing these systems without necessarily writing complex lines of code. The median salary for these hybrid profiles in France is around 38K€ to 55K for junior to senior profiles.

Learn to fly Dust at Artefact

Mastering Dust is a central pillar of our programmes to transform the use of AI into real business value. at Artefact School of Data, IA & No-Code Bootcamp teaches you create autonomous AI agents and automate your workflows with exclusive access to the Dust platform throughout your training.

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