In this episode, we sit down with Cosmo Wolfe, Head of Technology at Metronome, to unpack how reliability, trust, and architecture intersect in one of the most critical and overlooked parts of the AI product stack: billing.

As AI workloads introduce unpredictable usage patterns and nontraditional pricing models—from token-based to outcome-based—companies are navigating a new frontier of customer trust. Cosmo explains why billing is more than just a backend function; it’s a key moment of truth in the product experience.

We explore how event-sourced systems, rigorous monitoring, and internal accountability help avoid trust-eroding mistakes, like misbilled invoices or opaque usage tracking. Whether it’s ensuring a usage cap actually activates or being able to reconstruct billing history for an enterprise customer, this episode reveals how reliability at the billing layer becomes a strategic advantage in a competitive, AI-driven software landscape.