#185 - WECASA : Comment les RH pilotent le déploiement de l’IA dans l’entreprise

·1 hr 1 min·5 clips

WeCasa grew 50% monthly after raising €18 million, and now they're betting everything on AI.

1. This episode of Yaniro's Human Factor podcast features Léa, VP People at WeCasa, discussing how HR can lead AI deployment across a company. 2. Host Alexis Yves and Léa previously recorded an episode on strategic HR positioning; this follow-up focuses on AI deployment governance as of early 2026. 3. The episode's core thesis is that HR has a specific and indispensable role in AI rollout—not just in training but in change management, governance coordination, and preserving employability. 4. WeCasa is described as a mission-oriented platform (home services including household help, childcare, hairdressing, manicure) with about 200 employees, operating in France, the UK, Germany, and Austria since late 2025. 5. The company raised 18 million euros a year before broadcast, has approximately 50% monthly growth, and improved its INPS score from 46 to 72 after launching the metric. 6. In 2025, WeCasa's AI use was 'ultra-artisanal': no governance, no framework, employees using ChatGPT, Gemini, or nothing, depending on individual preference. 7. The CEO declared AI a strategic pillar in January 2026 and embedded it into every COMEX member's roadmap with variable bonus incentives, ensuring cross-functional alignment. 8. Léa proposed that the Head of Product (AI Champions owner), VP Data (licenses and tooling), and VP People (culture, change, training) govern AI deployment jointly with a 30-minute weekly coordination meeting. 9. HR launched an internal survey measuring: frequency of AI use (pro and personal), self-assessed level (beginner/intermediate/advanced), and adoption barriers—finding 70% daily users, 25% beginners, and three key barriers. 10. The three barriers from the survey were: ecological concerns, fear of job replacement, and ethical hesitations—each requiring a different type of response. 11. WeCasa selected Artefact (a data and AI consultancy serving large companies like LVMH, about 1,500 employees) as their AI training partner after evaluating approximately seven organizations; Artefact differentiated itself with a 360-degree approach including audit, COMEX training, company hackathon, AI Champions coaching, and six months of post-training support. 12. The deployment plan includes: an AI Champions survey audit of current tools and desired use cases by business unit, a COMEX-level training session, a company-wide hackathon during the annual seminar where employees build AI agents in groups of 3-5, and ongoing AI Champions support. 13. WeCasa's HR team has already built 4-5 AI agents in under a month, including a career coach agent trained on all career frameworks, compensation policies, and mobility policies. 14. Resistance was addressed at three levels: CEO communication (reassurance that AI creates rather than eliminates roles, citing 40 planned hires), union/elected employee consultation (framing AI training as social responsibility for employability), and peer-led AI café sessions using card-game formats to surface fears without judgment. 15. On tool governance, WeCasa chose Gemini as the default tool because all employees already have access via Google Workspace subscriptions, limiting additional data exposure; specialized tools (Lovable for product, Dust for agent management) are allowed in a 'open bar' testing phase. 16. Host Alexis argues that the AI skills fracture is forming now and will be as consequential as the English-language or computer-literacy divide—companies that don't train their employees are failing a social responsibility. 17. Léa describes a colleague who initially refused AI use entirely, arguing it would 'make us stupid'; after being redirected to test it on concrete tasks, that person became an AI Champion who now builds agents. 18. The episode's tone is candid and practical—both host and guest admit to their own learning curves, and Léa regularly acknowledges WeCasa is 'at the very beginning' of its AI journey rather than presenting a finished success story. 19. The episode is best suited to HR professionals and team leaders in mid-size companies grappling with AI adoption governance, training partner selection, and change management. 20. Listeners seeking technical AI implementation details, large-enterprise perspectives, or non-French company contexts will find limited applicability.

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