Building fast & accurate agents with Prime-RL post training

Ramp's Fast Ask is a reinforcement learning case study showing how custom environments and specialized training improve spreadsheet information retrieval agents. Built via Prime-RL post-training, it demonstrates measurable gains in accuracy and speed for domain-specific agents, offering a replicable blueprint for enterprise AI teams building narrow, high-performance agents.