Freelancer profile translated to English.
Back to original languageAbout Thomas
Are you the leader of an SME, association, cooperative, or head of a department?
You want to grow your business with a strong social and ecological impact, but you lack time? Thomas is the engineer and consultant-trainer who helps you implement priority AI agents to streamline your operations.
What makes Thomas's strength and difference?
His unique ability to act as a true "collective intelligence architect" to build consensus. He stands out by combining the **analytical rigor of an engineer**, a demand for **democratic quality**, and the integration of new technological levers like **agentic AI**. As President of the Board of Directors of a renewable electricity provider, he grounds his expertise in practical reality. As a true value explorer, he proposes expanding your classic indicators to ensure your actions have a concrete impact.
His key deliverables and projects?
Thomas supports committed organizations through:
- **The implementation of AI agents under Dust to facilitate operations, decision-making, and reporting**. He manages this process end-to-end: from experimentation on your priority use cases to operational validation, through to gradual and secure deployment.
- **Strategic decision support**, by leveraging the intelligence of your teams and innovative tools like the GPC method.
French
Native or bilingual
English
Fluent
Can work on-site
Marseille (up to 50km)
Experience
- IyatusDecision Engineering, Audit, and AI AgentsCONSULTING AND AUDITSDecember 2018 - Today (7 years and 8 months)Marseille, France
Support / training for mission-driven companies, SMEs, SSE organizations, and local authorities
Preferred AI System: dust.tt
- Strategic decision support by leveraging individual, collective, and artificial intelligence: active listening, collective facilitation methods, GPC decision-making, AI agent implementation
- Training in configuring AI agents under Dust, connected to necessary tools (email, drive, airtable, make, hubspot, legifrance, datagouv...)
- Implementation of sustainability plans: impact and risk assessment, CSRD, Carbon Footprint, energy performance, renewable energy
#My commitments for responsible AI
Each project is guided by 7 fundamental principles: Service to Humanity, Sustainability, Confidentiality, Equity, Transparency, Responsibility, and Security. - Enercoop PACAPresident of the Board of DirectorsENERGY AND UTILITIESJanuary 2013 - Today (13 years and 7 months)Marseille, FranceGovernance of a renewable energy cooperative. 13 years of mandate, it's a school of piloting in complexity: collective decisions under regulatory uncertainty, economic and ethical arbitration, stakeholder engagement. Field experience that directly enriches my consulting work.Director since its creation (2013), President of the Board of Directors (since 2018)• Development strategy (business model analysis)• Communication and marketing (webinar moderation, content creation)• Multi-stakeholder governance (Consent-Based Management - GPC)Enercoop Paca is a cooperative of collective interest (SCIC-SA) that offers:• 100% renewable electricity supply through short circuits• Development of photovoltaic electricity generation facilities• Solutions for energy transition in territories (Engineering office)
- CRESS Provence-Alpes-Côte d'AzurHead of Prospective AnalysisENVIRONMENTALFebruary 2025 - March 2026 (1 year and 1 month)Marseille, FranceA mission aligned with the guiding principle of my work: mobilizing intelligence and making data useful for decision-makers and economic actors in a transitioning region.Action-research on just ecological transition professions in the SSE of Bouches-du-Rhône | Funded by the EU as part of the Just Transition Fund, with the support of DREETS PACA
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Education
- AI Agent BuilderDataBird2026Mise en oeuvre de solutions IA opérationnelles à travers l’automatisation et la création de workflows. Outils : Make, Airtable, Bubble, BugBug, Notion, Claude code, n8n, Dust Automatiser des tâches métier de bout en bout. Relier plusieurs outils entre eux sans développement complexe. Concevoir des agents IA utiles, cadrés et connectés à des processus réels. Intégrer des mécanismes de fiabilité : filtres, gestion d’erreurs, déduplication, supervision, validation humaine. Donner une interface concrète et navigable à la solution construite. Transformer un système technique en prototype utilisable par de vrais utilisateurs. Structurer une expérience simple d’accès, de saisie et de restitution des résultats. Encadrer le déploiement avec des tests, des droits d’accès et une documentation claire.
- Build and automate your AI agents with DustDust Academy2026Données, instructions, triggers pour construire un agent Dust
Certifications
- Carbon FootprintIFC2020