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Inzo CheryIC

Inzo Chery

Expert Automation & AI Agents - Make | n8n |

€531/day
Fès, MA
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Inzo

Hello, I'm Inzo, a consultant specializing in automation and artificial intelligence.

I help businesses (startups, SMEs, e-commerce) save valuable time andreduce their costsby automating repetitive tasks and integrating intelligent AI agents into their operations.

🎯My Specialty
Designing and deploying tailor-made solutions that connect your tools, streamline your processes, and free your teams from time-consuming tasks.

🛠️My Services

AI Agents & Chatbots: Creation of virtual assistants for customer support, lead qualification, or internal assistance (24/7, scalable, integrated with your tools).

Workflow Automation: Connecting your applications (CRM, email, calendar, database) via Make, n8n, and Airtable to eliminate manual data entry and errors.

API & No-code Integration: Connecting your business tools to each other (Gorgias, Shopify, Brevo, etc.) to create a coherent and efficient digital ecosystem.

Process Audit and Optimization: Analysis of your operations to identify bottlenecks and automation opportunities.

📋My Method

Analysis: Quick understanding of your needs and existing processes.

Design: Proposal of a pragmatic, reliable, and maintainable solution.

Deployment: Implementation and testing to ensure proper functioning.

Support: Training for your teams and documentation for independent use.

🏷️Associated Keywords
Automation, AI agents, chatbots, Make, n8n, Airtable, no-code, low-code, API integration, webhooks, customer support automation, lead automation, customer support, CRM, Gorgias, Zendesk, Shopify, process optimization, productivity, digital transformation.
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Tom LeRoi
    Complete Automation of B2B Prospecting (Lead Generation)
    CONSULTING AND AUDITS
    November 2025 - November 2025
    Tours, France
    Context
    A freelance digital strategy consultant assisting SMEs spent nearly15 hours per weekon manual prospecting: searching for decision-makers on LinkedIn, analyzing their activity, verifying emails, and writing personalized messages. This time-consuming work prevented them from focusing on their core business: selling and delivering their projects.

    Problem

    • Manual and time-consuming prospect search.
    • Difficulty in large-scale personalization.
    • Tedious email address verification.
    • 15 hours/week lost on administrative tasks.

    Solution Deployed
    I designed and developed a **complex automation architecture orchestrated via n8n**, functioning as a 24/7 research assistant:



    *Sourcing:Automatic extraction of decision-makers via the Apollo.io API.

    *Enrichment:Scraping LinkedIn profiles and publications via Apify, and analyzing websites via Firecrawl.

    *Hygiene:Verification and cleaning of emails via the mails.so API.

    *AI Brain:Analysis of collected data by an LLM to qualify leads (scoring) and generate hyper-personalized icebreakers.

    *Centralization:Synchronization of qualified prospects in Airtable.

    *Deployment:Automatic injection into SmartLead campaigns.


    Results Achieved

    *Massive Time Savings:Reduction of preparation time from 15 hours to 1 hour per week (÷15).

    *Increased Volume:Contacting 3 times more prospects without loss of quality.

    *Preserved Personalization:Surgical approach maintained thanks to AI.

    *Business Impact:The client was able to refocus their energy on sales calls and closing deals.


    Technical Stack
    n8n | Apollo.io API | Apify | Firecrawl | mails.so | LLM (AI) | Airtable | SmartLead | LinkedIn scraping
    Airtable n8n LLM Apollo Automation
  • DNVB
    AI & No-Code Consultant – Design of a Conversational AI Agent for a Database
    TELECOMMUNICATIONS
    April 2025 - April 2025
    Tournan-en-Brie, France
    Context
    Sarah, founder of a growing cosmetics brand, manages her entire business (inventory, orders, customer service, campaigns) on Airtable. Her database is rich, but 80% of the information remains unutilized because it's too difficult to access quickly.

    Problem
    To answer simple strategic questions ('What are our inactive VIP customers from the last 3 months?', 'Stock status of featured products?'), Sarah had to spend hours juggling between tables, applying complex filters, and manually cross-referencing data. Result: decisions made on instinct rather than reliable data.
    Solution Deployed
    I designed and developed a **custom conversational AI Agent orchestrated via n8n**, capable of directly interacting with her Airtable base in natural language:

    *Intuitive Interface:Sarah asks her questions in simple French via a webhook.

    *AI Brain:An LLM (GPT-4) analyzes the query, understands the business intent and the database structure.

    *Bi-directional CRUD Operations:

    Read:Instant search and cross-referencing of data between tables.
    Write:Updating, creating, and deleting records upon simple request (e.g., 'Change all 'Pending' orders to 'Shipped'').

    *Intelligent Synthesis:The agent doesn't just regurgitate spreadsheet rows but provides a clear answer highlighting trends and anomalies.

    Results Achieved

    *Full Data Accessibility:Information retrieval time reduced from several hours per week to a few seconds.

    *Accelerated Operations:Tedious updates replaced by simple voice/text commands.

    *Proactivity:Instant identification of at-risk customers (churn) and cross-selling opportunities.

    Technical Stack
    n8n | Airtable API | OpenAI (GPT-4) | Webhooks | Prompt engineering
    Airtable Webhooks n8n OpenAI Prompt Engineering
  • Paul spectacle
    No-Code & AI Developer – Design of an Automated Virtual Assistant
    ARTS AND CRAFTS
    May 2024 - May 2024
    Context
    An artisan entrepreneur, unfamiliar with digital tools, was losing several hours a day managing appointments, prospecting, and customer follow-up. Administrative tasks were hindering their business.

    Problem

    • Manual and time-consuming appointment management.
    • Inefficient prospecting and disorganized lead follow-up.
    • Lack of a centralized system for customer relations.
    • Estimated time loss of several hours per day.

    Solution
    I designed **a custom multi-agent system orchestrated via n8n**, easily accessible via Telegram. The user interacts with a conversational agent that automatically performs:


    • Transcription of voice messages into tasks.
    • Complete agenda management (creation, modification, deletion) on Google Calendar.
    • Recording and updating prospects in Airtable.
    • Automated sending of confirmation and follow-up emails.
    • Search for missing prospect information on Google/LinkedIn to enrich the database.
    • The unique Telegram interface allows a non-technical user to benefit from an advanced AI solution without a learning curve.

    Results

    Time Savings: Estimated savings of 2 hours per day on administrative tasks.

    Sales Productivity:Processing approximately 5 additional prospects per day.

    Reliability:Elimination of data entry errors and missed appointments.

    Scalability: System ready to handle increased volume without overload.

    Technical Stack
    n8n | Telegram API | Google Calendar API | Airtable | OpenAI/Whisper | Webhooks | Emailing Services
    n8n Webhooks Airtable AI Agent Automation

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