Post by Underline Ventures

Over a decade ago, RPA scaled from zero to hundreds of millions in revenue in a couple of years. Today, agentic AI promises something far more ambitious: systems that think, plan, and act. Despite the technology manifesto, real adoption is still at a snail's pace. The demos are spectacular. The pilots work. But getting from PoC to enterprise deployment? It remains to be seen. “The biggest problem with generative AI within an enterprise is that these systems are non-deterministic. If you let this agentic system start creating records within your systems of records, your company can go bankrupt, no CEO will be able to certify their financial statements,” explains Dan Lupu, Venture Partner at Earlybird Venture Capital, and the investor behind Eastern European unicorns UiPath and Payhawk. What’s actually agentic and what’s not? And how does automation still change the world? Read all about it in the extended interview in the comments.