Payments integrations have a reputation for being slow, fragile, and painfully dependent on specialists. We wanted to challenge that assumption, so we sat down with Casey Conley, Chief Product Officer at Payroc, to talk about a shift that’s quickly becoming impossible to ignore: agentic development and AI-driven developer experience for payments.
Casey explains what’s actually changing when developers can describe what they want in plain language and let AI agents handle the mechanical work of mapping specs, assembling an integration plan, provisioning sandbox access, and guiding testing. We dig into Payroc’s approach to “AI native, not AI only” and why that distinction matters when you’re dealing with regulated money movement, disputes, chargebacks, compliance requirements, and products like surcharging. Speed is real, but fast does not have to mean unsupervised.
We also get practical about how different software companies embed payments. Some ISVs want a light referral model, others want to own onboarding and the end-to-end checkout experience, and vertical SaaS teams often need flexibility across card-not-present, card-present, and wallets like Apple Pay and Google Pay. Casey shares how Payroc designs for multiple paths and what the payoff looks like beyond engineering: faster time to revenue, better product differentiation, and fewer roadmap delays caused by payments complexity.
If you’re building embedded payments or modernizing your payments API strategy, listen through the end for how Casey thinks AI agents may become a second user and eventually the standard user in commerce.
