Payments can be your second or third biggest cost line and one of your biggest levers for growth, yet most companies still treat payment performance like an afterthought until revenue dips. Greg Myers sits down with Klas Back,, CEO and Co-founder of Pagos, to unpack why enterprises keep “leaving money on the table” through avoidable declines, misconfigured vendors, outdated card network programs, and fragmented reporting that hides what is really happening.
We get practical about what payment optimization looks like when you operate globally: approval rates, authentication friction, dispute and chargeback signals, and the compounding impact of a bad first purchase experience. Klas explains why the hard part is often not strategy, it’s payment data. When information lives in silos across PSPs, acquirers, orchestration, fraud tools, and 3D Secure providers, teams spend weeks normalizing spreadsheets before they can even diagnose a problem. Pagos approaches this as a payments data platform, focused on aggregation, normalization, monitoring, and surfacing opportunities teams can act on.
From there, we dig into how AI changes payment operations. Klas shares how automation can shrink the manual workload, improve detection, and apply a huge knowledge base from card networks like Visa and Mastercard to real merchant data. We also explore emerging forces like agentic fraud and agentic commerce, plus why benchmarking and “time to detection” should be core KPIs for modern payments teams.
If you care about enterprise payments, payment analytics, and building a smarter payments stack with fewer resources, this conversation is for you. Subscribe, share the episode with a payments leader, and leave a review so more teams can find it.
