Developers Max Brodeur-Urbas and Rahul Behal think that AI has the potential to automate lots of business-relevant tasks, but that many of the AI-powered automation tools on the market today are unreliable and costly. Part of the problem is that users expect too much of AI, Brodeur-Urbas told TechCrunch — for instance, they assume that it can handle highly specialized, niche workloads where precision matters.
“If users ever want to use AI for enterprise purposes, the technology really has to have no margin for error,” Brodeur-Urbas said. “Leaving specific workflows completely up to AI is not realistic. Users would be paying for [an AI] to spin its wheels performing the same Google search over and over again.”
Still, Brodeur-Urbas, an ex-Microsoft…