Payment integrity has long been constrained by audit capacity and review quality. When teams only audit what they’re staffed to handle and consistency varies widely across reviewers, it’s difficult to measure true hit rates or maintain quality at scale. AI is changing that.
This session explores how AI lets audit reviews scale while improving quality, why hit rate and quality matters and is worth paying for, how governance and human oversight produce more capable agentic AI systems, and what separates payment intelligence from general-purpose tools like ChatGPT.
Learnings include:
- How operational and economic shifts are reshaping payment integrity
- Why building the engineering discipline to run a system reliably at scale in a regulated environment is the most important challenge
- The role of human certification in AI workflows
- How to evaluate AI vendors for operational fit and impact
- What payment integrity leaders should prioritize now