About Inzo
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Experience
- Tom LeRoiComplete Automation of B2B Prospecting (Lead Generation)CONSULTING AND AUDITSNovember 2025 - November 2025Tours, FranceContextA 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 DeployedI 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 Stackn8n | Apollo.io API | Apify | Firecrawl | mails.so | LLM (AI) | Airtable | SmartLead | LinkedIn scraping - DNVBAI & No-Code Consultant – Design of a Conversational AI Agent for a DatabaseTELECOMMUNICATIONSApril 2025 - April 2025Tournan-en-Brie, FranceContextSarah, 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.ProblemTo 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 DeployedI 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 Stackn8n | Airtable API | OpenAI (GPT-4) | Webhooks | Prompt engineering
- Paul spectacleNo-Code & AI Developer – Design of an Automated Virtual AssistantARTS AND CRAFTSMay 2024 - May 2024ContextAn 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.
SolutionI 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.
ResultsTime 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 Stackn8n | Telegram API | Google Calendar API | Airtable | OpenAI/Whisper | Webhooks | Emailing Services
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