Post by Matt Plank

Today we're launching Rippling Data Cloud – and it's going to change what people expect from their HCM platform forever. Simply put, Data Cloud joins all your business data from any third-party app to worker identities in Rippling, and makes it available to Rippling AI so you can prompt your way to dashboards, workflows, or even Custom Apps built on top of your data. Everybody agrees a good AI strategy requires a good data foundation, but almost nobody has one. Your context is scattered across dozens of apps, and whatever system you're sitting in, you've got an incomplete picture of the questions that actually matter. Every business question starts with "what." The next one almost always starts with "who." Which sales segments are pacing behind this quarter? Which support teams have the fastest resolution times? Which stores are understaffed and bleeding overtime? The answer always depends on knowing who the data is about – their manager, their team, their role, and what all of that looked like at a specific point in time. You can get directionally accurate answers from general-purpose AI like Claude or ChatGPT, from AI layered on a data warehouse like Snowflake, or from the built-in AI in systems like Salesforce. But none of them truly understands the worker identity and historical context required to answer those nuanced questions correctly. Rippling Data Cloud does. It's an all-in-one rebuild of the modern data stack, with AI woven through every layer and anchored to the employee data that gives it meaning. Full blog in the comments – it explains the technical feat, nearly three years in the making.

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