Summary
AI made most engineering teams faster this year. Far fewer companies can point to a business result that changed because of it — and the invoice arrived either way. This roundtable is for engineering leaders caught in that gap: capacity is up, finance is asking questions, and the evidence connecting agents to outcomes mostly doesn't exist yet. We'll compare notes on what's actually working: how leaders are translating AI-driven velocity into results the business can see, how they're handling spend caps and budget scrutiny without throttling their best teams, where the bottleneck moved once code got cheap (review, product judgment, coordination), and what it would take to earn the freedom to invest more. Bring a real story: a win you couldn't prove, a cap you fought, a team whose returns surprised you.
Host

Chase Norton
Head of Artificial Intelligence @ Faros
Head of AI at Faros AI. Three-time founder and 18-year engineer. Shipped at PayPal scale. Led teams to GA in healthcare. Built and sold companies in AI agents and consumer commerce. Independent security researcher focused on AI systems, evals, and the risks of epistemic monoculture in AI-generated code. Splits time between Honolulu and the Bay.