Fin x Fyxer: Building AI Products that Scale

Description Every business will eventually face a moment it wasn't built for — a Black Friday surge, an executive's inbox after a major announcement, a customer incident that turns support volume vertical overnight. The question isn't whether that moment will come. It's whether the AI powering your business can handle it when it does. Building AI products for fast-growing businesses means designing for variability and volatility, not just average workload. It means knowing exactly where your limits are — and moving them before your customers reach them. Join Fin and Fyxer for a candid, technical conversation on what it actually takes to build AI systems that hold up at scale — the architectural decisions, the operational discipline, and the hard-won lessons that only production traffic can teach you. What you'll learn: Why simple infrastructure choices are often the smartest ones — and how they free your best engineering thinking for the more complex problems How to design AI that keeps one customer's traffic spike from affecting everyone else on the platform What AI-native infrastructure requires that traditional SaaS scaling doesn't — and why multi-provider redundancy is now a baseline expectation How to use real production events as a learning system, not just something to survive What it looks like to build for high-growth, high-variability businesses from day one Speakers Ryan Sherlock, Senior Director Engineering, Fin Josh Harrison, Lead Product Engineer, Fyxer Who should attend: Engineering leaders, technical founders, and product engineers building AI products for high-growth businesses.