Lucie Debiolle

Designing AI adoption for revenue teams | From chaos to usable workflows | Sales enablement & GTM execution

Oracleex-HP Enterprise Services France

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Most AI in sales fails at the same point: it never turns into real seller Leaders push “use AI.”

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Tools get rolled out. Pilots happen. And reps are left figuring out what’s actually useful, allowed, and worth their That’s the gap I work I design how AI fits into the real system of work for revenue teams. Then build the workflows, guardrails, and behaviours that make it stick. Today, I lead AI readiness initiatives for a global sales organisation, where I:👉 Turn “use AI” into concrete workflows across prospecting, deal execution, account planning, and executive conversations👉 Define where AI genuinely adds value, and where it doesn’t👉 Build reusable frameworks and enablement systems that scale across teams👉 Coach content owners to design high-quality, workflow-based AI enablement👉 Partner across product, sales, operations, and legal to align AI usage with real-world constraintsPreviously, I focused on pipeline generation and prospecting, designing enablement that turned tool rollouts into measurable behaviour change across sellers, SDRs, and AI doesn’t replace judgment, it increases the need for it. The real shift isn’t just using AI, it’s knowing what to trust, what to challenge, and how to make and execute decisions in real That’s why my work extends beyond workflows into decision-making, guardrails, and skill activation — so AI improves how people think, not just how fast they produce. I’m most useful at the intersection of strategy → execution, AI capabilities → real workflows, and ambition → what actually works in the If you care about making AI useful and not just available, we’re probably thinking about the same * Views expressed are my own and do not reflect that of Oracle.