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Romain MunozRM

Romain Munoz

AI Architect & Custom Workflows

€500/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Romain

Are you managing an SME or a field team and your employees are wasting hours on repetitive tasks? I'll free them from that.

Specifically, I design and deploy custom AI-driven automations that connect your business applications and handle low-value work: data synchronization, document generation, task management. The goal isn't to replace your teams, but to give them back their time.

My difference: I build with a "human in the loop" approach to integrate AI effectively and deploy an AI control cockpit that you can query in natural language, on a browser, mobile, or even by voice command in the field.

Projects I work on: synchronization workflows between your tools (CRM, ERP, spreadsheets), automatic generation of quotes/contracts/reports, lead qualification and routing, incoming email processing, and queryable dashboards. All built with n8n, Make, and GPT-4 & Claude agents.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km)

Experience

  • MonPlan Rénov
    Multi-stakeholder Sales Cycle Workflow
    CIVIL ENGINEERING
    January 2025 - March 2025 (2 months)
    Paris, France
    MonPlan Rénov, a specialist in home renovation, faced a challenge with its Sales process: tracking every lead from initial contact to the pre-visit, ensuring none were left without a response or status.

    The team received dozens of leads per month to qualify, contact, and advance to the on-site visit. It was essential to know at any given time the status of each case, who was responsible, and what the next action was, all accessible directly in the field between appointments.

    Solution Deployed:A workflow that structures the pipeline into 15+ stages, from initial contact to pre-visit and then handover to the architect. Each lead is contacted, assigned to a salesperson, scheduled, and tracked end-to-end. Between appointments, the salesperson dictates their report or creates a case by voice; the team maintains control via a queryable natural language cockpit.

    Result:136 cases tracked in 3 months · 15+ stages tracked · 3 active users · 0 lead left without follow-up, in continuous production.
    Claude Code AI Agent Process Optimization
  • L'École du Bien Naître
    SEO Production Workflow and Financing File Registration
    EDUCATION AND E-LEARNING
    March 2026 - June 2026 (3 months)
    Paris, France
    EDBN, a training organization in perinatal care present across 2 brands and 2 websites, faced two challenges related to its business processes: Marketing and Finance.

    Marketing.The team wanted to increase its content production productivity by leveraging AI, while synchronizing its various tools and keeping teams in the loop for review, correction, and improvement of the proposed articles.

    Solution Deployed:A workflow that suggests prioritized topics daily by volume, generates the article + FAQ + CTA, and then publishes it directly to WordPress via API. The team retains editorial review and validation.

    Result:Writing time reduced from 60 to 15 minutes per article, recovering over 7 hours per week at a rate of 10 articles/week and 2 brands.

    Finance.The team wanted to transform each validated registration into a signed and paid file, without chasing the three signatures (contract, payment schedule, direct debit mandate) spread across multiple tools.

    Solution Deployed:As soon as a file is validated, the contract and payment schedule are sent for signature, the GoCardless mandate is generated, and the file closes automatically—all tracked in a single interface.

    Result:No more manual cross-referencing between tools, 0 manual follow-up entries.
    AI Agent Workflow Automation Process Optimization Claude Code
  • Copas Systèmes
    Non-Compliance Management Workflow
    RAW MATERIALS INDUSTRY
    December 2025 - January 2026 (1 month)
    Paris, France
    Copas Systèmes, a manufacturer and installer of custom doors present across 13 agencies, faced a challenge with its Quality/Operations process: escalating every non-compliance from the field to the right person, and deriving usable data from it.

    With nearly 160 technicians across 13 agencies, often without computers, defects were reported by paper, email, or word-of-mouth, leaving no trace. The defect didn't always reach the right department, and the company had no visibility into what was being returned or on which products.

    Solution Deployed:A workflow starting from the field—the technician declares it with a few fields from their phone, or by voice, between interventions. AI categorizes, prioritizes, and routes the non-compliance to the correct department (production, purchasing, works, logistics); teams analyze and resolve it up to final verification. Each declaration feeds a natural language queryable quality cockpit.

    Target Result(deployment in progress, POC on 3 pilot agencies): 13 agencies covered · ~200 users · 100% of non-compliances tracked · 0 defects lost in transit.
    AI Agents Workflow Automation Process Optimization

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Education

  • Master in Marketing
    ESCE
    2017
  • Growth Marketing
    Join Lion
    2024

Skill set

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