Building an AI Database for Agentic GTM Operations (11 minute read) (opens in new tab)

Rippling rebuilt its go-to-market data foundation into an AI Database on a lakehouse to power agentic operations, replacing fragmented warehouses and manual processes with a unified intelligence layer. Key elements include ML-based entity resolution across third-party sources, medallion architecture, semantic search over enriched conversation data, and a natural-language Genie interface used by AI agents.