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Confidence in agentic AI: Why eval infrastructure must come first
At VentureBeat’s Transform 2025, tech leaders gathered to talk about how they're transforming their business with agents.
As AI agents enter real-world deployment, organizations are under pressure to define where they belong, how to build them effectively, and how to operationalize them at scale. “The initial attraction of any of these deployments for AI agents tends to be around saving human capital — the math is pretty straightforward,” Nalawadi said. For instance, a Rocket engineer built an agent in just two days to automate a highly specialized task: calculating transfer taxes during mortgage underwriting.
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