AI is everywhere in Customer Success right now, from churn prediction to automated health scoring to AI-assisted QBRs, but adoption alone doesn't secure budget. Boards and C-suites want to see hard evidence that AI investment translates into retention, expansion, or efficiency gains they can defend in front of their own stakeholders. This panel brings together senior CS leaders who have taken AI initiatives from pilot to boardroom, to unpack what actually lands with the C-suite, what metrics get scrutinised, and what separates a compelling business case from one that gets quietly shelved. Key takeaways: - What ROI metrics and proof points genuinely move the needle with CFOs and CEOs, versus what sounds good in a CS meeting but falls flat at board level - How to build a business case for AI investment before you have the data to prove it worked - Common mistakes CS leaders make when presenting AI outcomes upward, and how to avoid them - How to separate genuine AI-driven impact from noise or correlation in your reporting - What a credible AI roadmap looks like to a sceptical executive audience, and how to sequence quick wins against longer-term bets