Intermezzo raises $10M for AI-native payroll

Intermezzo raised $10 million to build an AI-native, API-first global-payroll platform for HCM and payroll providers. Its financing report from PYMNTS says the company uses agents to turn payroll source data into machine-readable rules, shrinking a typical 20-day processing cycle to 24 hours with more than 99% accuracy; CloudPay’s strategic-investment announcement confirms a payroll infrastructure provider is backing the approach. Builders evaluating payroll agents should benchmark country coverage, audit logs, and exception handling—not demo latency—against those operating claims; the archive’s agent-workflow cost analysis explains why unit economics decide whether automation survives production.