Pave Agent was built around a limitation of general AI tools in compensation work: they lack an organization's pay strategy, internal structures and market context. The agent uses information already held in Pave to help compensation teams investigate questions within that context. Its workflows include pricing new job families, comparing compensation with market benchmarks and examining merit cycles. By bringing internal and external data together, the product aims to turn repeated analysis into a starting point for decisions that compensation professionals can review.
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