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At Easyweb, we support companies in the design and integration of high-performance AI agents. We structure your processes and data so that your agents are efficient, reliable, and truly useful in your prospecting, automation, and business development activities.
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Create an AI agent
1. Design an operational AI agent
Creating an AI agent is not just a matter of connecting a model to a database. At Easyweb, we guide you through the process of creating an AI agent capable of acting, making decisions, and automating specific tasks.
2. Deploy AI agents connected to your tools
A high-performance AI agent integrates with your existing tools: CRM, database, marketing platform, or automation tool. Whether via n8n or a more advanced architecture, we structure agents capable of interacting with your stack and automating real processes.
3. Automate prospecting and interactions
AI agents can qualify leads, analyze incoming requests, generate responses, or even manage voice interactions. The goal is not to add complexity, but to streamline your sales operations.
4. Build a scalable AI architecture
A good AI agent must be able to evolve. We design modular systems that can learn, integrate new data, and adapt to your future challenges.
Frequently asked questions
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What is an AI agent and what is it used for?
An AI agent is a system capable of analyzing a context, making a decision, and executing an action automatically. Unlike a simple automation tool, it can adapt its behavior based on available data.
In business, an AI agent is used to qualify leads, automate prospecting, or orchestrate complex workflows.
At Easyweb, we design AI agents focused on business performance and measurable results.
What is the difference between an AI agent and a simple chatbot?
A chatbot answers questions according to pre-established rules.
An AI agent can analyze, decide, and act on multiple tools. It can query a CRM, trigger an email, or update a database.
Easyweb develops AI agents capable of going far beyond simple conversation.
Is an n8n AI agent effective?
An n8n AI agent can be very effective at automating complex workflows. It allows you to connect APIs, CRMs, and marketing tools in an intelligent way.
Its effectiveness depends mainly on the strategy and structure of the flows.
We develop customized n8n AI agents tailored to the business objectives of each company.
Can an AI agent automate complex tasks independently?
Yes, if it is well structured.
An AI agent can connect multiple tools, analyze data, and trigger appropriate actions. Effectiveness depends on the technical architecture and the quality of the scenarios.
Easyweb designs robust architectures to ensure reliability and performance.
How can data used by an AI agent be secured?
Security is based on:
• Secure hosting
• Access management
• Data flow encryption
• GDPR compliance
An AI agent project must integrate these issues from the design stage onwards. At Easyweb, data security is integrated into every stage of development.
When should you use an AI agent for sales prospecting?
A commercial AI agent is ideal for:
- Automatically qualifying prospects
- Prioritizing leads Launching cold mailing sequences
- Analyzing responses It increases sales productivity without the need for massive recruitment.
We support companies in implementing AI agents dedicated to B2B prospecting.
Deploy an AI agent to accelerate your digital growth
A well-designed AI agent does more than just automate repetitive tasks. It continuously collects, analyzes, and leverages data to guide your marketing and sales decisions. It can identify opportunities, prioritize high-impact actions, and trigger sequences tailored to user behavior.
In a modern digital strategy, the AI agent becomes a bridge between traffic, data, and conversion. It enables the intelligent use of signals from natural referencing, the analysis of search intentions, and the optimization of user journeys.
It is in this context that it comes into its own alongside an SEO consultant, capable of structuring data, optimizing content, and aligning technical performance with business objectives. The AI agent amplifies this strategy by making data usable in real time.
Integrating an AI agent into an AI-driven GEO strategy
Search engines are evolving toward responses generated by artificial intelligence. A well-configured AI agent can analyze these dynamics, identify emerging trends, and automatically adapt your content to enhance its citability.
In a logic of advanced optimization, the AI agent can monitor conversational queries, analyze the responses produced by generative AI, and detect opportunities for strategic positioning.
This is precisely the approach developed by our GEO agency, which structures content so that it can be understood, synthesized, and reproduced in AI engine responses. The agent then acts as a tool for continuous analysis and adjustment.
Accelerate your business development with AI agents
An AI agent becomes a powerful lever when integrated into a business development strategy. It can automatically qualify incoming leads, enrich prospect profiles, prioritize opportunities, and automate certain follow-ups without losing relevance.
In a B2B environment, it helps shorten the sales cycle by identifying prospects with a high probability of conversion. It analyzes interactions, detects signals of interest, and triggers targeted actions.
Integrated into a business development strategy, the AI agent increases the teams' capacity for action without replacing humans. It structures information and allows sales representatives to focus on negotiation and closing deals.
Structure your LinkedIn prospecting with the support of an AI agent
Prospecting on LinkedIn generates a significant volume of data: profiles, interactions, messages, response rates. An AI agent can analyze this information to identify the best-performing segments, optimize sequences, and adjust messages based on the results.
It can also automate certain enrichment tasks, analyze responses, and detect hot prospects, while adhering to a structured strategy.