Freelancer profile translated to English.
Back to original languageAbout Loick
I support organizations in transition: structuring operations, adopting AI, and automating business processes.
Currently, I am supporting two clients:
Parella (Commercial Real Estate)
AI Transformation for a multi-team firm: leading discovery workshops with the Valuation, Transaction, and Design departments, identifying and scoping priority use cases (lease extraction, property database, document generation), deploying a Supabase / n8n / Dust stack with GDPR constraints.
Club Employés (Employee Benefits)
RevOps Process Audit and Redesign: HubSpot diagnostics, structuring sales data, aligning workflows between sales and ops teams.
My Approach:Start from the ground up, identify what's really bottlenecking, and build sustainable systems, not just slide-based POCs.
Ideal for:Operations managers, CEOs of SMEs, or consulting firms who want to take action on AI without getting lost in theory.
English
Fluent
French
Native or bilingual
Can work on-site
Paris (up to 20km)
Experience
- ParellaLead AI TransformationREAL ESTATEJune 2026 - Today (2 months)Paris, FranceAt Parella, a commercial real estate consulting firm (Paris), I work as an independent consultant to design and deploy artificial intelligence solutions directly integrated into the teams' business processes.My mission covers the entire chain: scoping use cases, data architecture, automated extraction pipelines (commercial leases, broker offers), and generating deliverables (lease summaries, long lists, market studies, sales proposals).Specifically: moving from 4 to 6 hours of manual processing per document to less than one hour, while building a capitalizable and reusable data asset for the teams. All with a firm principle: AI proposes, the expert validates, no risky automation without human validation.
- Club EmployésData & AI EngineerE-COMMERCEJune 2026 - Today (2 months)Paris, FranceI am leading the transformation of the commercial data infrastructure for Club Employés (Montchoyer group, 7 brands, ~300 people).My role covers the entire cycle: auditing HubSpot data post-migration, identifying field friction points through inter-team surveys and interviews (SDR, Sales, AM, Finance, IT), then building a system that makes data work, not just store it.Specifically: standardizing the company database, deduplication, automatic enrichment via API, and connecting business tools (HubSpot, Pennylane, Superset, Digiformat). I also build HubSpot views, dashboards, and lists directly with the teams to ensure adoption.Beyond data, I scope and implement AI uses: RevOps agents for managers, automated smart lists for SDRs, multi-brand prospecting thematic packages (tech, mental health, industry...).I work at the intersection of field reality and the tech roadmap, with a strong bias for delivering quick wins that are visible quickly, while laying the groundwork that lasts.
- HyperstackOps - AI / n8n / Airtable / Claude CodeCONSULTING AND AUDITSOctober 2025 - Today (10 months)Paris, FranceI work through Hyperstack with companies that want to structure their operations and leverage AI, without getting lost in technical complexity.My focus: mapping what hinders your teams, identifying high-impact automations, and building systems that truly run. No POCs that end up in a drawer: operational workflows, connected to your tools, used daily.Main stack: n8n for automations, Airtable for structured data, Claude Code for AI agents. I work on short to medium-term missions, with a simple goal: make your teams autonomous on what we've built together.Hyperstack is an agency specializing in no-code, data, and AI; this framework allows me to address cross-functional needs, from strategic scoping to operational delivery.
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Education
- Master Innovation Design Entrepreneurship and ArtsEM Lyon - Centrale Lyon2016
- DUT Techniques de CommercialisationUniversité d'Evry Val d'Essonne2012
Certifications
- AWS Certified Cloud Practitioner (CLF) - G6TXPQ81BJFQQC9EAmazon Web Services2019
- AWS Certified Solutions Architect - Associate (SAA) - LP9BDGS2MF1E1J36Amazon Web Services2019