How Unilever Saved 50,000 Recruiter Hours With AI Interview Scoring

What happens when 250,000 job applications funnel toward just 800 hires? That's Unilever's reality every single year — and until recently, it required an army of recruiters burning tens of thousands of hours on initial screens alone. Today, AI interview scoring handles that first pass, saving the company over 50,000 recruiter hours and roughly £1 million annually. And the kicker? Diversity among new hires actually went up 16%. In this episode, we dig into the real enterprise playbook for AI interview scoring in 2026 — from Unilever's scale story to Mastercard collapsing their scheduling bottleneck by 85%, to what the latest wave of platforms like VidCruiter and Criteria Corp are doing to make AI scoring transparent and auditable. We also break down the four-stage implementation framework that successful enterprises follow — rubric design, bias audit, pilot, then scale — and cover the compliance landscape you need to understand right now, including NYC Local Law 144 and the EU AI Act provisions kicking in this month. If you're an HR leader evaluating AI interview tools, this episode gives you the benchmark data, the implementation roadmap, and the self-assessment checklist to know whether you're actually ready to deploy — or whether you've got foundational work to do first.